Case Study Research and Applications Design and Methoda by Campbell
.pdf
keyboard_arrow_up
School
Liberty University *
*We aren’t endorsed by this school
Course
505
Subject
Nursing
Date
Nov 24, 2024
Type
Pages
56
Uploaded by JudgeComputerGrasshopper1582
research.
To
cater
to
the
latter
audience,
Sage
Publications
has
made
a
companion
website,
study.sagepub.com/yin6e,
available
to
post
supplementary
materials.
The
website
therefore
contains
the
materials
that
might
be
more
helpful and
informative
for
scholars
already
advanced
in
their
knowledge
of
case
study
research.
Hopefully,
such
an
arrangement
will
permit
readers
to
make
their
own
forays
into
case
study
research,
and
on
their
own
terms.
For
instance,
the
fifth
edition
had
contained
several
tutorials
that
explored
some
key
issues,
with
authoritative
references,
in
greater
depth.
This material,
along
with
a
lot
of
other
reprints
and
writings
that
preceded
even
the
first
edition
of
this
book,
is
now
found
on
the
website.
The
hope
is
that
the
website
can
help
anyone
who
might
want
to
know
more
but
not
to
interfere
with
those
of
you
just
setting
out
on
your
initial
journey
with
case
study
research.
One
place
where
the
sixth
edition
remains
steadfastly
consistent
with
all
the
earlier
editions
deserves repeated
mention:
Donald
Campbell’s
insightful
foreword.
His
succinct
words,
written
more
than
30
years
ago,
still
stand
as
a
masterpiece
about
social
science
methods.
Within
the
context
of
today’s
research
dialogues,
Campbell’s
work
continues,
remarkably,
to
speak
with
freshness
and
direct
relevance.
His
foreword
also
positions
well
the
role
of
case
study
research
as
portrayed
in
this
book.
I
continue
to
be
deeply
honored
by
the
inclusion
of
this
foreword
and
have
attempted
to
return
but
a
modest
contribution,
now
to
his
memory,
in
a
subsequent
publication
(Yin,
2000b).
The
successful
practicing
of
this
edition’s
techniques
and
guidance
means
that
case
study
research
will
be
better
than
in
the
past.
The
ultimate
goal,
as
always,
is
to
improve
our
social
science
methods
and
practices over
those
of
previous
cohorts
of
scholars.
Only
in
this
manner
can
every
cohort
make
its
own
mark,
much
less
establish
its
own
competitive
niche.
As
a
final
note,
I
conclude
this
preface
by
repeating
a
portion
from
the
preface
to
the
fourth
edition.
In
it,
I
suggested
that
anyone’s
ideas
about
case
study
research
—and
about
modes
of
social
science inquiry
more
generally—must
have
deeper
roots.
Mine
go
back
to
the
two
disciplines
in
which
I
was
trained:
history
as
an
undergraduate
and
brain
and
cognitive
sciences
as
a
graduate.
History
and
historiography
first
raised
my
consciousness
regarding
the
importance
(and
challenge)
of
methodology
in
the
social
sciences.
The
unique
brand
of
basic
research
in
brain
and
cognitive
science
that
I
learned
at
MIT
then
taught
me
that
empirical
research
advances
only
when
accompanied
by
theory
and
logical
inquiry,
and
not
when
only
treated
as
a
mechanistic
data
collection
endeavor.
This
lesson
turns
out
to
be
a
basic
theme
in
doing
case
study
research.
I
have
therefore
dedicated
this
book
to
the
person
at
MIT,
Prof.
Hans-Lukas
Teuber,
who
taught
me
this
best
and
under
whom
I
completed
a
dissertation
on
face
recognition,
though
he
might
only
barely
recognize
the
resemblances
between
past
and
present
were
he
alive
today.
Notes
1.
The
counts
are
based
on
the
appearance
of
a
given
word
or
term
in
published
books.
Unfortunately,
Ngram
Viewer
does
not
indicate
the
number
of
books
covered
during
any
particular
period
of
time,
so
the
website
does
not
provide
the
number
of
books
accessed
from
1980
to
2008.
Overall,
Ngram
Viewer
claims
that
it
has
amassed
about
4%
of
all
books
ever
published
(Michel
et
al.,
2010).
2.1
chose
not
to
select
a
fifth
term,
“qualitative
research,”
because
its
usage
overlaps
in
some
unknown
way
with
“case
study
research.”
The
inclusion
would
have
clouded
my
main
intended
comparison,
which
was
between
“case
study
research”
and
the
other
three
types
of
inquiries.
3.
Avid
supporters
of
the
gold
standard
have
nevertheless
published
a
research
article
using
“case
study”
in
its
title
(Cook
&
Foray,
2007).
Readers
should
not
take
this
as
an
example
of
how
to
do
case
study
research,
however.
The
article
mainly
contains
the
authors’
rendition
of
a
set
of
events
at
the
outset
of
the
decade
in
question
(a
set
that
apparently
could
not
be
told
with
quantitative
methods)
but
does
not
present
much
actual
evidence
to
support
that
rendition.
(The
rendition
may
be
insightful,
but
whether
it
should
be
accepted
as
an
example
of
case
study
research
or
as
a
“popular”
case
study
remains
an
open
question.)
4.
The
Internet
source
of
this
tally
does
not
indicate
the
time
period
that
it
covered,
but
Google
Scholar
started
in
2004
and
the
source
for the
tally
appeared
in
2016,
so
an
estimate
of
2004
to
2015
as
the
years
that
were
covered
would
be
one
guess.
5.
An
interesting
side
note
would
point
to
developments
in
one
of
the
other
social
science
methods—surveys.
In
contemporary
political
polls,
note
that
the
“margin
of
error”
is
now
reported
in
the
popular
media
every
time
a
polling
result
is
cited.
Such
reporting
did
not
usually
occur
in
the
past.
One
offshoot
of
the
reference
to
the
margin
of
error
is
that
it
readily
reminds
(and
educates)
the
audience
that
these
data
were
based
on
surveys
that
respectfully
followed
relevant
research
procedures.
What
might
be
helpful
in
the
(distant)
future
is
for
the
popular
case
studies
to
contain
an
analogous
reminder,
if
the
case
study
indeed
used
any
research
procedures,
such
as
triangulating
data
from
two
or
more
sources
of
evidence.
Acknowledgments
The
publication
of
this
sixth
edition
marks
the
34th year
since
the
book’s
original
publication.
During
this
time,
many
people
have
influenced
my
thinking
—by
asking
questions,
making
suggestions,
or
just
maintaining
a
healthy
skepticism
toward
case
study
research.
I
am
extremely
grateful
for
all
this
interest
and
support.
Unfortunately,
the
cumulative
list
of
pertinent
colleagues
has
become
a
bit
lengthy.
Especially
because
the
five
earlier
editions
have
acknowledged
many
of
them,
I
would
therefore
like
to
attend
to
a
more
recent
set
of
colleagues,
who knowingly
or
unknowingly
had
some
influence
on
the
words
and
concepts
that
appear
in
this
sixth
edition.
A
prolonged
set
of
interactions
with
the
staff
at
The
World
Bank
included
working
with
two
different
groups.
The
first
group
focused
on
the
development
of
a
series
of
“service
delivery
case
studies.”
Christos
Kostopoulos
and
his
staff
challenged
us
all to
think
about
the
boundaries
of
the
cases
as
well
as
some
intriguing
design
and
data
collection
procedures.
I
am
grateful
for
having
been
part
of
his
team,
which
also
consisted
of
Vera
A.
Wilhelm,
Sameh
El-Saharty,
Erica
Wu,
and
Jeanette
Murry,
as
well
as
Oliver
Haas,
who
served
as
a
bridge
to
a
later
phase
of
the
work.
The
second
group
focused
on
various
“country
case
studies”
that
were
conducted
in
association
with
several
different
evaluation
projects.
The
World
Bank’s
evaluation
staff
with
whom
I
interacted
included
Caroline
Heider
(the
head
of
the
evaluation
group),
Mark
Sundberg,
Susan
Ann
Céceres,
Erik
A.
Bloom,
Pia
Helene
Schneider,
Xubei
Luo,
Ann
Elizabeth
Flanagan,
Guiseppe
larossi,
Anthony
Martin
Tyrrell,
and
Viktoriya
Yevsyeyeva.
Across
four
separate
projects,
Susan
Ann
Caceres
posed
especially
challenging
issues
that
tested
my own
thoughts.
I
would
like
to
thank
all
these
persons
at
The
World
Bank
for
their
having
raised
many
questions
about doing
case
studies—
especially
in
contrast
to
their
conventional
economic
methods.
In
a
different
field,
faculty
and
students
in
the
Division
of
Special
Education
and
disAbility
Research
at
George
Mason
University
have
been
collecting
in-depth
information
about
individual
students
as
separate
cases.
Led
by
Prof.
Sheri
Berkeley
and
PhD
students
Anna
Menditto
and
Amanda
Luh,
the
team
has
confronted
the
question
of
how
to
analyze
the
data
from
the
students,
when
only
a
small
number
have been
studied.
I
have
benefited
enormously
from
joining
in
this
venture
and
thank
the
team
for
sharing
it
with
me.
Also
in
a
university
setting,
students
enrolled
in
the
School
of
Education’s
methodology
course
at
Southern
New
Hampshire
University,
led
by
Prof.
Nancy
Charron
and
Mary
Kim
Lindley-Soucy,
have
broadened
my
view
of
case
study
research
by
posing
questions
over
Skype
Q&A
sessions.
Different
groups
of
students
have
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
participated
in
these
sessions,
which
have
been
held
annually
for
several
years.
Serendipitously,
the
students’
questions
often
produce
nuggets
of
wisdom,
and
I
thank
the
students
for
these
nuggets
and
Nancy
and
Kim
for
initiating
the
entire
arrangement.
In
yet
another
field,
a
research
team
led
by
Katherine
Patterson
Kelly
(PhD,
RN,
Nurse
Scientist)
at
the
Department
of
Nursing
Research
and
Quality
Outcomes,
Children’s
National
Health
System,
has
been
studying
therapy
groups
in
a
series
of
case
studies.
Collecting
and
analyzing
data
from
each
group
as
a
whole
(as
well
as
from
the
group’s
members
individually)
has
led
Kelly
and
her
team
into
an
innovative
realm.
I
again
have
been
fortunate
to
participate
in
this
work
and
thank
Kelly
and
Pamela
S.
Hinds
(PhD,
RN,
FAAN,
and
Professor
of
Pediatrics,
The
George
Washington
University),
the
director
of
the
department,
for
sharing
this
research
experience.
As
part
of
the
preparation
of
this
sixth
edition,
Sage
Publications
invited
reviewers
to
reflect
upon
their
experiences
in
using
the
fifth
edition.
I
thank
them
for
their
extensive
and
helpful
comments,
and
I
hope
that
they
will
see
the
adoption
of
at
least
some
of
their
suggestions:
Michael
A.
Guerra,
Lincoln
University
Landon
E.
Hancock,
Kent
State
University
Ellen
S.
Hoffman,
University
of
Hawai’i
at
Manoa
Barbara
J.
Holtzclaw,
The
University
of
Oklahoma
Health
Sciences
Center,
Fran
and
Earl
Ziegler
College
of
Nursing
Claretha
Hughes,
University
of
Arkansas
Kriss
Y.
Kemp-Graham,
Texas
A&M
University—Commerce
Joseph
McNabb,
Professor
of
the
Practice
Eva
Mika,
Northcentral
University
David
M.
Sprick,
Park
University
Bruce
E.
Winston,
Regent
University,
School
of
Business
&
Leadership
Asta
Zelenkauskaite,
Drexel
University
Finally,
the
editors
at
Sage
played
an
important
role
in
reshaping
this
sixth
edition
so
that
it
would
include
the
applications.
Vicki
Knight
started
the
process
before
retiring
from
Sage,
and
Leah
Fargotstein
carried
the
project
forward
thereafter.
To
them
I
owe
a
debt
of
gratitude
as
well
as
to
several
others
at
Sage
who
contributed
to
the
production
and
sharpening
process—Kelly
DeRosa,
Gillian
Dickens,
and
Yvonne
McDuffee.
Nonetheless,
as
with
the
earlier
versions
of this
book,
I
alone
bear
the
responsibility
for
this
sixth
edition.
About
the
Author
Robert
K.
Yin
is
President
of
COSMOS
Corporation,
an
applied research
and
social
science
firm.
Over
the
years,
COSMOS
has
successfully
completed
hundreds
of
projects
for
federal
agencies,
state
and
local
agencies,
and
private
foundations.
Outside
of
COSMOS,
Dr.
Yin
has
assisted
numerous
other
research
groups,
helping
to
train
their field
teams
or
to
design
research
studies.
The
most
recent
such
engagements
have
been
with
The
World
Bank,
the
Division
of
Special
Education
and
disAbility
Research
at
George
Mason
University,
the
Department
of
Nursing
Research
and
Quality
Outcomes
at
the
Children’s
National
Health
System
(Washington,
D.C.),
and
the
School
of
Education,
Southern
New
Hampshire
University.
Dr.
Yin
has
authored
more
than
100
publications,
including
authoring
or
editing
11
books
(not
counting
the
multiple
editions
of
any
given
book).
Earlier
editions
of
the
present
book
have
been
translated
into
eight
languages
(Chinese,
Japanese,
Korean,
Swedish,
Romanian,
Italian,
Polish,
and
Portuguese),
and
a
second
book
on
Qualitative
Research
From
Start
to
Finish
(2016)
is
in
its
second
edition
and
has
been
translated
into
four
languages
(Chinese,
Korean,
Swedish,
and
Portuguese).
Dr.
Yin
received
his
BA
in
history
from
Harvard
College
(magna
cum
laude)
and
his
PhD
in
brain
and
cognitive
sciences
from
MIT.
Doing Case
Study
Research:
A
Linear
but
Iterative
Process
1
Getting
Started
How
to
Know
Whether
and
When
to
Use
the
Case
Study
as
a
Research
Method
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Chapter
1:
Plan
o
Identify
the
relevant
situation
for
doing
a
case
study,
compared
with
other
research
methods
e
Understand
the
twofold
definition
of
a
case
study
inquiry
o
Address
the
traditional
concerns
over
case
study
research
e
Decide
whether
to
do
a
case
study
Abstract
You
want
to
study
something
relevant
but
also
exciting—and
you
want
to
use
an
acceptable
if
not
esteemed
social
science
method.
Doing
a
“case
study”
strikes
your
fancy,
but
how
you
might
do
a
good
one
remains
a
challenge,
compared
with
doing
an
experiment,
survey,
history,
or
archival analysis
(as
in
economic
or
statistical
modeling).
You
are
intrigued
and
want
to
learn
more
about
doing
a
case
study.
This
chapter
suggests
that
you
might
favor
choosing
case
study
research,
compared
with
the
others,
when
(1)
your
main
research
questions
are
“how”
or
“why”
questions,
(2)
you
have
little
or
no
control
over
behavioral
events,
and
(3)
your
focus
of
study
is
a
contemporary
(as
opposed
to
entirely
historical)
phenomenon—a
“case.”
The
chapter
then
offers
a
common
definition
to
be
applied
to
the
ensuing
case
study.
Among
the
variations
in
case
studies,
yours
can
include
single
or
multiple
cases,
can
even
be
limited
to
quantitative
evidence
if
desired,
and
can
be
part
of
a
mixed-methods
study.
Properly
doing
a
case
study
means
addressing
five
traditional
concerns—conducting
the
research
rigorously,
avoiding
confusion
with
nonresearch
case
studies
(i.e.,
popular
case
studies,
teaching-
practice
case
studies,
and
case
records),
arriving
at
generalized
conclusions
if
desired,
carefully
managing
your
level
of
effort,
and
understanding
the
comparative
advantage
of
case
study research.
The
overall
challenge
makes
case
study
research
“hard,”
although
it
has
classically
been
considered
a
“soft”
form
of
research.
Being
Ready
For
The
Challenge,
And
Setting
High
Expectations
Doing
case
study
research
remains
one
of
the
most
challenging
of
all
social
science
endeavors.
This
book
will
help
you—whether
an
experienced
or
emerging
social
scientist—to
deal
with
the
challenge.
Your
goal
is
to
design
good
case
studies
and
to
collect,
present,
and
analyze
data
fairly.
A
further
goal
is
to
bring
your
case
study
to
closure
by
composing
a
compelling
article,
report,
book,
or
oral
presentation.
Do
not
underestimate
the
extent
of
the
challenge.
Although
you
may
be
ready
to
design
and
do
case
study
research,
others
may
espouse
and
advocate
other
modes
of
social
science
inquiry.
Similarly,
prevailing
federal
or
other
research
funds
may
favor
methods
other
than
case
studies.
As
a
result,
you
may
need
to
have
ready
responses
to
some
inevitable
questions
and
set
high
expectations
for
yourself.
Following
a
clear
methodological
path.
First
and
foremost,
you
should
explain
how
you
are
devoting
yourself
to
following
a
clear
methodological
path.
For
instance,
a
conventional
starting
place
would
be
to
review
literature
and
define
your
case
study’s
research
questions.
Alternatively,
however,
you
might
want
to
start
with
some
fieldwork
first,
prior
to
defining
any
theoretical
concerns
or
even
examining
the
relevant
research
literature.
In
this
latter
mode,
you
might
be
entertaining
a
contrary
perspective:
that
what
might
be
“relevant,”
as
well
as
the
pertinent
research
questions,
may
not be
determinable
ahead
of
knowing
something
about
what’s
going
on
in
the
field.
Regardless
of
your
starting
place,
the
path
should
explicitly
show
how
you
will
adhere
to
formal
and
explicit
procedures
when
doing
your
research.
Tip:
How
do
I
know
if
I
should
be
doing
case
study
research?
4
P4
There’s
no
formula,
but
your choice
depends
in
large
part
on
your
research
question(s).
The
more
that
your
questions
seek
to
explain
some
contemporary
circumstance
(e.g.,
“how”
or
“why”
some
social
phenomenon
works),
the
more
that
case
study
research
will
be
relevant.
Case
studies
also
are
relevant
the
more
that
your
questions
require
an
extensive
and
“in-depth”
description
of
some
social
phenomenon.
‘What
are
some
other
reasons
you
might
cite
for
doing
or
not
doing
case
study
research?
Along
these
lines,
this
book
offers
much
guidance.
It
shows
how
case
study
research
is
distinctive
but
also
covers
procedures
central
to
all
modes
of
social
science
research.
In
shaping
your
case
study,
you
might
like
to
know
whether
to
design
and
conduct
a
single-
or
a
multiple-case
study
to
investigate
a
research
issue.
You
may
only
be
doing
a
case
study
or
you
may
be
using
it
as
part
of
a
larger
mixed-methods
study.
Whatever
the
choices,
this
book
covers
the
entire
range
of
issues
in
designing
and
doing
case
study
research,
including
how
to
start
and
design
a
case
study,
collect
case
study
evidence,
analyze
case
study
data,
and
compose
a
case
study
report.
Equally
important,
the
book
will
help
you
deal
with
some
of
the
more
difficult
questions
still
frequently
neglected
by
available
research
texts.
So
often,
for
instance,
the
author
has
been
confronted
by
a
student
or
colleague
who
has
asked
(a)
how
to
define
the
“case”
being
studied,
(b)
how
to
determine
the
relevant
data
to
be
collected,
or
(c)
what
to
do
with
the
data,
once
collected.
This
book
addresses
these
and
many
other
questions.
The
successful
experiences
of
scholars
and
students
from
using
this
book,
for
more
than
30
years,
may
attest
to
the
potential
payoffs.
Acknowledging
strengths
and
limitations.
Second,
you
should
understand
and
openly
acknowledge
the
strengths
and
limitations
of
case
study
research.
Such
research,
like
any
other,
complements
the
strengths
and
limitations
of
other
types
of
research.
Just
as
different
types
of
research
inquiries
prevail
in
the
physical
and
life
sciences,
different
inquiries
serve
different
needs
when
investigating
social
science
topics.
Note
that
the
sciences
do
not
follow
a
single
method,
such
as
the
experimental
method.
Astronomy
is
a
science
but
does
not
rely
on
the
experimental
method;
nor
do
engineering
and
geology
(Scriven,
2015).
Similarly,
many
studies
in
neurophysiology
and
neuroanatomy
do
not
rely
on
statistical
methods.
A
diverse
array
of
methods
also
marks
the
social
sciences,
and
the
next
section
of this
chapter
will
contrast
these
methods
to
help
you
understand
the
methodological
choices
and
differences.
Setting
high
expectations
in
your
chosen
field.
Case
study
research
is
commonly
found
in
many
social
science
disciplines
as
well
as
the
practicing
professions
(e.g.,
psychology,
sociology,
political
science,
anthropology,
social
work,
business,
education,
nursing,
and
community
planning). As
one
result,
your
high
expectations
not
only
should
follow
a
clear
methodological
path,
as
just
discussed,
but
also
can
cater
to
your
own
field.
Figure
1.1
lists
15
such
fields,
along
with
illustrative
texts
that
focus
on
the
use
of
case
study
research
in
each
specific
field.
(Not
cited
are
either
of
two
other
kinds
of
works:
general
methodological
texts
that
discuss
various
types
of
research
methods,
even
if
including
case
study
research,
and general
texts
on
case
study
research
that
are
not
directed
at
any
specific
field.)
Checking
the
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
work(s)
in
your
chosen
field
may
point
to
some
subtle
ways
of
customizing
your
case
study
in
relation
to
that
field.
For
instance,
Appendix
A
describes
the
case
study’s
lengthy
but
peculiar
history
in
one
of
the
disciplines—psychology.
Whatever
your
field
of
interest,
the
distinctive
need
for
case
studies
arises
out
of
the
desire
to
understand
complex
social
phenomena.
Case
studies
allow
you
to
focus
in-depth
on
a
“case”
and
to
retain
a
holistic
and
real-world
perspective—
such
as
in
studying
individual
life
cycles,
small
group
behavior,
organizational
and
managerial
processes,
neighborhood
change,
school
performance,
international
relations,
and
the
maturation
of
industries.
Comparing
Case
Studies
With
Other
Social
Science
Research
Methods
When
and
why
would
you
want
to
use
a
case
study
to
examine
some
social
science
topic?
Should
you
consider doing
an
experiment
instead?
A
survey?
A
history?
An
analysis
of
archival
records,
such
as
the
statistical
modeling
of
epidemiological
trends
or of
student
performance
in
schools?
These
and
other
choices
represent
different
research
methods. Each
is
a
different
way
of
collecting
and
analyzing
empirical
evidence.
Each
follows
its
own
logic
and
procedures.
And
each
method
has
its
own
advantages
and
disadvantages.
To
get
the
most
out
of
doing
case
study
research,
you
may
need
to
appreciate
these
distinctions.
Figure
1.1
Sampler
of
Works
Devoted
to
Case
Study
Research
in
Specific
Fields
ACADEMIC
DISCIPLINES:
Anthropology
and
Ethnography
|
Burawoy,
1991
Political
Science
George
&
Bennett,
2005;
Cerring,
2004
Psycholinguistics
Duff,
2008
Psychology
Bromley,
1986;
Campbell,
1975;
McLeod,
2010
Sociology
Feagin,
Orum,
&
Sjoberg,
1991;
Hamel,
1992;
Mitchell,
1983;
Platt,
1992
PRACTICING
PROFESSIONS:
Accounting
Bruns,
1989
Business
and
Intemational
Dul
&
Hak,
2008;
Farquhar,
2012;
Gibbert, Ruigrok,
&
Business
Wicki,
2008;
Johnston,
Leach,
&
Liu,
2000;
Meyer,
2001;
Piekkari,
Welch,
&
Paavilainen,
2009;
Vissak,
2010
Education
Hamilton
&
Corbett-Whittier,
2013;
Yin,
2006a
Evaluation
U.S.
Government
Accountability
Office,
1990
Health
Care
Carolan,
Forbat,
&
Smith,
2015;
Walshe,
2011
Marketing
Beverland
&
Lindgreen,
2010
Nursing
Baxter
&
Jack,
2008;
De
Chesnay,
2017
Public
Administration
Agranoff
&
Radin,
1991
Social
Work
Gilgun,
1994;
Lee,
Mishna,
&
Brennenstuhl,
2010
Software
Engineering
Runeson,
Host,
Rainer,
&
Regnell,
2012
Relationships
Among
the
Methods:
Not
Hierarchical
A
common
misconception
is
that
the
various
research
methods
should
be
arrayed
hierarchically.
Many
social
scientists
still
implicitly
believe
that
case
studies
are
only
appropriate
for
the
exploratory
phase
of
an
investigation,
that
surveys
and
histories
are
appropriate
for the
descriptive
phase,
and
that
experiments
are
the
only
way
of
pursuing
explanatory
or
causal
inquiries.
The
hierarchical
view
reinforces
the
idea
that
case
study
research
is
only
a
preliminary
mode
of
inquiry
and
cannot
be
used
to
describe
phenomena
or
test
propositions.
However,
you
need
not
automatically
accept
this
hierarchical
view.
You
would
point
to
the
fact
that
experiments
with
an
exploratory
motive
have
certainly
always
existed.
In
addition,
the
development
of
causal
explanations
has
long
been
a
serious
concern
of
historians,
especially
reflected
by
the
subfield
known
as
historiography.
Likewise,
you
also
would
point
out
that
case
studies
are
far
from
being
only
an
exploratory
method.
Some
of
the
best
and
most
famous
case
studies
have been
explanatory
case
studies
(e.g.,
see
BOX
1
for
a
vignette
on
Allison
and
Zelikow’s
Essence
of
Decision:
Explaining
the
Cuban
Missile
Crisis,
1999;
additional
examples
of
explanatory
case
studies
are
found
in
Applications
8
and
9
in
Chapter
5
of
this
book).
Similarly,
famous
descriptive
case
studies
are
found
in
major
disciplines
such
as
sociology
and
political
science
(e.g.,
see
BOX
2
for
two
vignettes;
additional
examples
of
descriptive
case
studies
are
found
in
many
of
the
other
BOXES
in
this
book).
Thus,
distinguishing
among
the
various
social
science
methods
and
their
advantages
and
disadvantages
may
require
going
beyond
the
hierarchical
stereotype.
Box
1
A
Best-Selling,
Explanatory,
Single-Case
Study
For
more
than
40
years,
Graham
Allison’s
(1971)
original
study
of
a
single
case,
the
1962
Cuban
missile
crisis,
has
been
a
political
science
best
seller.
In
this
crisis,
a
U.S.—Soviet
Union
confrontation
could
have
produced
nuclear
holocaust
and
doomed
the
entire
world.
The
book
posits
three
competing
but
also
complementary
theories
to
explain
the
crisis—that
the
United
States
and
Soviets
performed
as
(a)
rational
actors,
(b)
complex
bureaucracies,
or
(c)
politically
motivated
groups
of
persons.
Allison
compares
the
ability
of
each
theory
to
explain
the
actual
course
of
events
in
the
crisis:
why
the
Soviet
Union
placed
offensive
(and
not
merely
defensive)
missiles
in
Cuba
in
the
first
place,
why
the
United
States
responded
to
the
missile
deployment
with
a
blockade
(and
not
an
air
strike
or
invasion
—the
missiles
already
were
in
Cuba!),
and
why
the
Soviet
Union
eventually
withdrew
the
missiles.
The
case
study
shows
the
explanatory
and
not
just
descriptive
or
exploratory
functions
of
single-case
studies.
Furthermore,
the
authors
contrast
the
lessons
from
the
case
study
with
prevailing
alternative
explanations
in
post—-Cold
War
studies
of
foreign
policy
and
international
politics.
In
this
way,
the
book,
even
more
thoughtfully
presented
in
its
second
edition
(Allison
&
Zelikow,
1999),
forcefully
demonstrates
how
a
single-case
study
can
be
the
basis
for
insightful
generalizations.
Box
2
Two
Famous
Descriptive
Case
Studies
&
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
2A.
A
Neighborhood
Scene
Street
Corner
Society
(1943/1993),
by
William
F.
Whyte,
has
for
decades
been
recommended
reading
in
community
sociology.
The
book
is
a
classic
example
of
a
descriptive
case
study.
It
traces
the
sequence
of
interpersonal
events
over
time,
describes
a
subculture
that
had
rarely
been
the
topic
of
previous
study,
and
discovers
key
phenomena—such
as
the
career
advancement
of
lower
income
youths
and
their
ability
(or
inability)
to
break
neighborhood
ties.
The
study
has
been
highly
regarded
despite
its
taking
place
in
a
small
urban
neighborhood
(under
the
pseudonym
of
“Cornerville”)
and
during
a
time
period
now
nearly
100
years
ago.
The
value
of
the
book
is,
paradoxically,
its
generalizability
even
to
contemporary
issues
of
individual
performance,
group
structure,
and
the
social
structure
of
neighborhoods.
Later
investigators
have
repeatedly
found
remnants
of
Cornerville
in
their
work,
even
though
they
have
studied
different
neighborhoods
and
different
time
periods
(also
see
BOX
21,
Chapter
4).
2B.
A
National
Crisis
Neustadt
and
Fineberg’s
excellent
analysis
of
a
mass
immunization
campaign
was
issued
originally
as
a
government
report
in
1978, The
Swine
Flu
Affair:
Decision-Making
on
a
Slippery
Disease,
and
later
published
independently
as
The
Epidemic
That
Never
Was
(1983).
The
case
study
describes
the
immunization
of
40
million
Americans
that
took
place
under
President
Gerald
Ford’s
administration,
when
the
United
States
was
faced
with
a
threat
of
epidemic
proportions
from
a
new
and
potentially
lethal
influenza
strain.
Because
the
case
study
has
become
known
as
an
exceptionally
well-researched
case
study,
contemporary
policy
makers
have
continued
to
consult
it
for
any
generalizable
lessons
for
understanding
the
quandaries
of
health
crises
and
public
actions
in
light
of
new
threats
by
flu
epidemics,
such
as
the
HIN1
strain
of
2008-2010
and
by
viruses
such
as
the
Ebola
and
Zika
outbreaks
of
2013
to
the
present.
The
more
appropriate
view
may
be
an
inclusive
and
pluralistic
one:
Every
research
method
can
be
used
for
all
three
purposes—exploratory,
descriptive,
and
explanatory
studies.
There
may
be
exploratory
case
studies,
descriptive
case
studies,
or
explanatory
case
studies.
Similarly,
there
may
be
exploratory
experiments,
descriptive
experiments,
and
explanatory
experiments.
What
distinguishes
the
different
methods
is
not
a
hierarchy
but
the
three
important
conditions
discussed
next.
As
an
important
caution,
however,
the
clarification
does
not
imply
that
the
boundaries
between
the
modes—or
the
occasions
when
each
is
to
be
used—are
always
sharp.
Even
though
each
mode
of
inquiry
has
its
distinct
characteristics,
there
are
large
overlaps
among
them.
The
goal
is
to
avoid
gross
misfits—that
is,
when
you
are
planning
to
use
one
mode
of
inquiry
but
another
is
really
more
advantageous.
Exercise
1.1
Defining
Different
Types
of
Research
Case
Studies
B]
Define
the
three
types
of
case
studies
used
for
research
purposes:
(a)
explanatory
case
studies,
(b)
descriptive
case
studies,
and
(c)
exploratory
case
studies.
Compare
the
situations
in
which
these
different
types
of
case
studies
would
be
most
applicable.
Now
name
a
case
study
that
you
would
like
to
conduct.
Would
it
be
explanatory,
descriptive,
or
exploratory?
Why?
When
to
Use
the
Different
Methods
The
three
conditions
consist
of
(a)
the
form
of
research
question
posed,
(b)
the
control
a
researcher
has
over
actual
behavioral
events,
and
(c)
the
degree
of
focus
on
contemporary
as
opposed
to
entirely
historical
events.
Figure
1.2
displays
these
three
conditions
and
shows
how
each
is
related
to
five
social
science
research
methods:
experiments,
surveys,
archival
analyses
(e.g.,
economic
modeling,
or
a
statistical
analysis
in
an
epidemiological
study),
histories,
and
case
studies.
The
importance
of
each
condition,
in
distinguishing
among
the
five
methods,
is
as
follows.
Figure
1.2
Relevant
Situations
for
Different
Research
Methods
Experiment
how,
why?
yes
yes
Survey
who,
what,
where,
how
|
no
yes
many,
how
much?
Archival
Analysis
who,
what,
where,
how
|
no
yes/no
many,
how
much?
History
how,
why?
no
no
Case
Study
how,
why?
no
yes
Source:
COSMOS
Corporation.
(a)
Form
of
research
question
(see
Figure
1.2,
column
a).
The
first
condition
covers
your
research
question(s)
(Hedrick,
Bickman,
&
Rog,
1993).
A
basic
categorization
scheme
for
the
form
of
questions
is
this
familiar
series:
“who,”
“what,”
“where,”
“how,”
and
“why”
questions.
If
research
questions
focus
mainly
on
“what”
questions,
either
of
two
possibilities
arises.
First,
some
types
of
“what”
questions
are
exploratory,
such
as
“What
can
be
learned
from
a
study
of
a
startup
business?”
This
type
of
question
is
a
justifiable
rationale
for
conducting
an
exploratory
study,
the
goal
being
to
develop
pertinent
hypotheses
and
propositions
for
further
inquiry.
However,
as
an
exploratory
study,
any
of
the
five
research
methods
can
be
used—for
example,
an
exploratory
survey
(testing,
for
instance,
the
ability
to
survey
startups
in
the
first
place),
an
exploratory
experiment
(testing,
for
instance,
the
potential
benefits
of
different
kinds
of
business
incentives
to
determine
which
type
of
incentive
might
be
worthy
of
a
more
definitive
experiment),
or
an
exploratory
case
study
(testing,
for
instance,
the
differences
between
“first-time
startups
and
startups
by
entrepreneurs
who
had
previously
started
other
firms,
as
a
prelude
to
selecting
the
case(s)
for
a
subsequent
case
study).
The
second
type
of
“what”
question
is
actually
a
form
of
a
“how
many,”
“how
much,”
or
“to
what
extent”
line
of
inquiry—for
example,
“What
have been
the
ways
that
communities
have
assimilated
new
immigrants?”
Identifying
such
ways
is
more
likely
to
favor
survey
or
archival
methods
than
others.
For
example,
a
survey
can
be
readily
designed
to
enumerate
the
“what,”
whereas
a
case
study
would
not be
an
advantageous
method
in
this
situation.
Similarly,
like
this
second
type
of
“what”
question,
“who”
and
“where”
questions
(or
again
their
derivatives—“how
many,”
“how
much,”
and
“to
what
extent”)
are
likely
to
favor
survey
methods
or
the
analysis
of
archival
data,
as in
economic
studies.
These
methods
are
advantageous
when
the
research
goal
is
to
describe
the
incidence
or
prevalence
of
a
phenomenon
or
when
it
is
to
track
certain
outcomes.
The
investigation
of
prevailing
political
preferences
(in
which
a
survey
or
a
poll
might
be
the
favored
method)
or of
the
spread
of
a
disease
like
Ebola
or
Zika
(in
which
an
epidemiologic
analysis
of
health
statistics
might
be
the
favored
method)
would
be
typical
examples.
In
contrast,
“how”
and
“why”
questions
are
more
explanatory
and
likely
to
lead
to
the
use
of
a
case
study,
history,
or
experiment
as
the
preferred
research
method.
This
is
because
such
questions
deal
with
the
tracing
of
operational
processes
over
time,
rather
than
mere
frequencies
or
incidence. Thus,
if
you
wanted
to
know
how
a
community
successfully
avoided
the
potentially
catastrophic
impact
of
the
closing
of
its
largest
employer—a
military
base
(see
2
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Bradshaw,
1999,
also
presented
in
Application
8,
Chapter
5
of
this
book)—you
would
be
less
likely
to
rely
on
a
survey
or
an
examination
of
archival
records
and
might
be
better
off
doing
a
history
or
a
case
study.
Similarly,
if
you
wanted
to
know
how
research
investigators
may
possibly
(but
unknowingly)
bias
their
research,
you
could design
and
conduct
a
series
of
experiments
(see
Rosenthal,
1966).
Let
us
take
two
more
examples.
If
you
were
studying
“who”
had
suffered
as
a
result
of
terrorist
acts
and
“how
much”
damage
had
been
done,
you
might
survey
residents,
examine
government
records
(an
archival
analysis),
or
conduct
a
“windshield
survey”
of
the
affected
area.
In
contrast,
if
you
wanted
to
know
“why”
the
act
had
occurred,
you
would
have
to
draw upon
a
wider
array
of
documentary
information,
in
addition
to
conducting
interviews,
and
you
would
likely
be
doing
a
case
study.
Moreover,
if
you
focused
on
the
“why”
question
in
more
than
one
terrorist
act,
you
would
probably
be
doing
a
multiple-case
study.
Similarly,
if
you
wanted
to
know
“what”
the
outcomes
associated
with
a
new
governmental
program
had
been,
you
could
answer
this
question
by
doing
a
survey
or
by
examining
economic
data,
depending
on
the
type
of
program
involved.
Questions—such
as
“How
many
clients
did
the
program
serve?”
“What
kinds
of
benefits
were
received?”
“How
often
were
different
benefits
produced?”—all
could
be
answered
without
doing
a
case
study.
But
if
you
needed
to
know
“how”
or
“why”
the
program
had
worked
(or
not),
you
would
lean
toward
a
case
study
or
a
field
experiment.
To
summarize,
the
first
and
most
important
condition
for
differentiating
among
the five
social
science
research
methods
is
to
classify
the
form
of
the
research
question
being
asked.
In
general,
“what”
questions
may
be
either
exploratory
(in
which
case,
any
of
the
methods
could
be
used)
or
about
prevalence
(in
which
surveys
or
the
analysis
of
archival
records
would
be
favored).
“How”
and
“why”
questions
are
likely
to
favor
using
a
case
study,
experiment,
or
history.
Exercise
1.2
Defining
a
Case
Study
Research
Question
3
Develop
a
“how”
or
“why”
question
that
would
be
the
rationale
for
a
case
study
that
you
might
conduct.
Instead
of
doing
a
case
study,
now
imagine
that
you
only
could
do
a
history,
a
survey,
or
an
experiment
(but
not
a
case
study)
to
address
this
question.
What
would
be
the
distinctive
advantage
of
doing
a
case
study,
compared
with
these
other
methods,
in
order
to
address
the
question?
Defining
your
research
question(s)
is
probably
the
most
important
step
to
be
taken
in
a
research
study,
so
you
should
be
patient
and
allow
sufficient
time
for
this
task.
The
key
is
to
understand
that
your
research
questions
have
both
substance—for
example,
What
is
my
study
about?—and
form—for
example,
am
I
asking
a
“who,”
“what,”
“where,”
“how,”
or
“why”
question?
Other
scholars
have
focused
on
some
of
the
substantively
important
issues
(see
Campbell,
Daft,
&
Hulin,
1982).
The
point
of
the
preceding
discussion
is
that
the
form
of
the
question
can
provide
an
important
clue
regarding
the
appropriate
research
method
to
be
used.
Remember,
too,
that
the
methods
can
overlap.
Thus,
for
some
questions,
a
choice
among
methods
might
actually
exist.
Be
aware,
finally,
that
you
(or
your
academic
department)
may
be
predisposed
to
favor
a
particular
method
regardless
of
the
study
question.
If
so,
be
sure
to
create
the
form
of
the
study
question
best
matching
the
method
you
were
predisposed
to
favor
in
the
first
place.
Exercise
1.3
Identifying
the
Research
Questions
When
Other
Research
Methods
Are
Used
3
Locate
a
research
study
based
solely
on
the
use
of
a
survey,
history,
or
experiment
(but
not
a
case study).
Identify
the
research
question(s)
addressed
by
the
study.
Does
the
type
of
question
differ
from
those
that
might
have
appeared
as
part
of
a
case
study
on
the
same
topic,
and
if
so,
how?
(b)
Control
over
behavioral
events
(see
Figure
1.2,
column
b)—
and
focus
on
contemporary
as
opposed
to
entirely
historical
events
(see
Figure
1.2,
column
c).
Assuming
that
“how”
and
“why”
questions
are
to
be
the
focus
of
study,
these
two
remaining
conditions
help
to
distinguish
further
among
a
history,
a
research
case
study,
and
an
experiment.
A
history
has
virtually
no
such
control
and
deals
with
the
“dead”
past—that
is,
when
direct
observations
of
the
event(s)
being
studied
are
not
possible
and
when
no
relevant
persons
are
alive
to
report,
even
retrospectively,
what
occurred.
The
historian
must
then
rely
on
primary
documents,
secondary
documents,
and
cultural
and
physical
artifacts
as
the
main
sources
of
evidence.
A
more
contemporary
version
of
historical
research
can
study
the
recent
but not
quite
“dead”
past,
as
in
conducting
an
oral
history
(e.g.,
Janesick,
2010).
In
this
situation,
historical
research
begins
to
overlap
with
case
study research.
Case
studies
are
preferred
when
the
relevant
behaviors
still
cannot
be
manipulated
and
when
the
desire
is
to
study
some
contemporary
event
or
set
of
events
(“contemporary”
meaning
a
fluid
rendition
of
the
recent
past
and
the
present,
not
just
the
present).
The
case
study
relies
on
many
of
the
same
techniques
as
in
a
history,
but
it
also
relies
heavily
on
two
sources
of
evidence
not
usually
available
as
part
of
the
conventional
historian’s
repertoire:
direct
observation
of
the
events
being
studied and
interviews
of
the
persons
who
may
still
be
involved
in
those
events.
Again,
although
case
studies and
histories can
overlap,
the
case
study’s
unique
strength
is
its
ability
to
deal
with
a
full
variety
of
evidence—documents,
artifacts,
interviews,
and
direct
observations,
as
well
as
participant-observation
(see
Chapter
4)—beyond
what
might
be
available
in
a
conventional
historical
study.
Finally,
experiments
call
for
an
investigator
to
manipulate
behavior
directly,
precisely,
and
systematically.
This
can
occur
in
a
laboratory
setting,
in
which
an
experiment
may
focus
on
one
or
two
isolated
variables
(and
presumes
that
the
laboratory
environment
can
“control”
for
all
the
remaining
variables
beyond
the
scope
of
interest),
or
it
can
be
done
in
a
field
setting,
where
the
term
field
(or
social)
experiment
has
emerged
to
cover
research
where
investigators
“treat”
whole
groups
of
people
in
different
ways,
such
as
providing
(or
not
providing)
them
with
different
kinds
of
vouchers
to
purchase
services
(Boruch
&
Foley,
2000).
The
full
range
of
experimental
research
also
includes
those
situations
in
which
the
experimenter
cannot
manipulate
behavior
but
in
which
the
logic
of
experimental
design
still
may
be
applied.
These
situations
have been
commonly
regarded
as
quasi-experimental
research
(e.g.,
Campbell
&
Stanley,
1966;
Cook
&
Campbell,
1979)
or
observational
studies
(e.g.,
Rosenbaum,
2002,
2009).
They
differ
from
case
study
research
because
of
their
adherence
to
experimental
principles
and
inferences.
Summary.
You
should
be
able
to
identify
some
situations
in
which
all
research
methods
might
be
relevant
(such
as
doing
an
exploratory
study)
and
other
situations
in
which
two
methods
might
be
considered
equally
attractive.
You
also
can
use
multiple
methods
in
any
given
study
(e.g.,
a
survey
within
a
case
study
or
a
case
study
within
a
survey).
To
this
extent,
the
various
methods
are
not
mutually
exclusive.
But
you
also
should
be
able
to
identify
some
situations
in
which
a
specific
method
has
a
distinct
advantage.
For
case
studies,
this
niche
is
when
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
e
a
“how”
or
“why”
question
is
being
asked
about
o
a
contemporary
set
of
events
o
over
which
a
researcher
has
little
or
no
control.
To
determine
the
questions
that
are the
most
pressing
on
a
topic,
as
well
as
to
gain
some
precision
in
formulating
these
questions,
requires
much
preparation.
One
way
is
to
review
the
literature
on
the
topic
(Cooper,
1984).
Note
that
such
a
literature
review
is
therefore
a
means
to
an
end and
not—as
many
people
have
been
taught
to
think—an
end
in
itself.
Novices
may
think
that
the
purpose
of
a
literature
review
is
to
determine
the
answers
about
what
is
known
on
a
topic;
in
contrast,
experienced
investigators
review
previous
research
to
develop
sharper
and
more
insightful
questions
about
the
topic.
Variations
In
Case
Studies,
But
A
Common
Definition
Our
discussion
has
progressed
without
formally
defining
case
study.
In
addition
to
a
need
for
a
definition,
three
commonly
asked
questions
about
variations
in
case
studies
still
have
to
be
addressed.
For
example,
(1)
Is
it
still
a
case
study
when
more
than
one
case
is
included
in
the
same
study?
(2)
Does
a
case
study
preclude
the
use
of
quantitative
evidence?
(3)
Can
a
case
study
be
used
to
do
evaluations?
Let
us
now
attempt
first
to
define
the
case
study
as
a
research
method
and
then
to
address
these
three
questions.
Definition
of
the
Case
Study
as
a
Research
Method
Some
definitions
of
case
studies
have
merely
repeated
the
types
of
topics
to
which
case
studies
have
been
applied.
For
example,
in
the
words
of
one
scholar,
The
essence
of
a
case
study,
the
central
tendency
among
all
types
of
case
study,
is
that
it
tries
to
illuminate
a
decision
or
set
of
decisions:
why
they
were
taken,
how
they
were
implemented,
and
with
what
result.
(Schramm,
1971,
emphasis
added)
This
definition
thus
cites
cases
of
“decisions”
as
the
major
focus
of
case
studies.
Other
common
cases
can
include
“individuals,”
“organizations,”
“processes,”
“programs,”
“neighborhoods,”
“institutions,”
and
even
“events.”
However,
dwelling
on
the
definition
of
a
case
study
by
interest
in
an
individual
case,
not
by
the
methods
of
inquiry
used
(e.g.,
Stake,
2005,
p.
443),
would
seem
insufficient
to
establish
the
complete
basis
for
case
studies
as
a
research
method.
Outside
of
social
science
research,
notice
that
the
everyday
use
of
case
studies
in
the
popular
literature
and
media
(popular
case
studies—see
the
Preface)
further
blurs
the
issue.
In
fact,
many
of
the
earlier
social
science
textbooks
failed
to
consider
case
studies
as
a
formal
method
at
all.
As
discussed
previously,
one
common
shortcoming
was
to
consider
case
studies
as
the
exploratory
stage
of
some
other
type
of
research
method.
Another
definitional
shortcoming
had
been
to
confuse
case
studies
with
doing
“fieldwork,”
as
in
participant-observation.
Thus,
early
textbooks
limited
their
discussion
of
case
studies
to
descriptions
of
participant-observation
or of
fieldwork
as
a
data
collection
process,
without
elaborating
further
on
a
definition
of
case
study
research
(e.g.,
Kidder
&
Judd,
1986;
Nachmias
&
Nachmias,
2014).
In
a
historical
overview
of
the
case
study
in
American
methodological
thought,
Jennifer
Platt
(1992)
explains
the
reasons
for
these
treatments.
She
traces
the
practice
of
doing
case
studies
back
to
the
conduct
of
life
histories,
the
work
of
the
Chicago
school
of
sociology,
and
casework
in
social
work.
She
then
shows
how
participant-observation
emerged
as
a
data
collection
technique,
effectively
eliminating
any
further
recognition
of
case
study
research.
Thus,
she
found
ample
references
to
case
study
research
in
methodological
textbooks
up
to
1950
but
hardly
any
references
to
case
studies
or
to
case
study
research
in
textbooks
from 1950
to
1980
(Platt,
1992,
p.
18).
Finally,
Platt
explains
how
the
first
edition
of
this
book
(1984)
definitively
dissociated
case
study
research
from
the
limited
perspective
of
only
doing
some
kind
of
fieldwork.
She
then
also
showed
how
a
renewed
discussion
of
case
study
research
began
to
emerge
in
textbooks,
largely
occurring from 1980
to
1989
and
continuing
thereafter.
Case
study
research,
in
her
words,
had
now come
to
be
appreciated
as
having
its
own
“logic
of
design
.
.
.
a
strategy
to
be
preferred
when
circumstances
and
research
problems
are
appropriate
rather
than
an
ideological
commitment
to
be
followed
whatever
the
circumstances”
(Platt,
1992,
p.
46).
A
twofold
definition
of
case
study
as
a
research
method.
And
just
what
is
this
research
method?
The
critical
features
first
appeared
in
earlier
publications
(Yin,
1981a,
1981b,
and
reproduced
on
the
companion
website,
study.sagepub.com/yin6e),
predating
the
first
edition
of
this
book.
The
resulting
definition
as
it
has
evolved
over
the
five
previous
editions
of
this
book
reflects
a
twofold
definition.
The
first
part
begins
with
the
scope
of
a
case
study,
when
doing
case
study
research:
1.
A
case
study
is
an
empirical
method
that
e
investigates
a
contemporary
phenomenon
(the
“case”)
in
depth
and
within
its
real-world
context,
especially
when
o
the
boundaries
between
phenomenon
and
context
may
not
be
clearly
evident.
In
other
words,
you
would
want
to
do
a
case
study
because
you
want
to
understand
a
real-world
case
and
assume
that
such
an
understanding
is
likely
to
involve
important
contextual
conditions
pertinent
to
your
case
(e.g.,
Yin
&
Davis,
2007).
This
first
part
of
the
definition
therefore
helps
you
to
continue
distinguishing
case
studies
from
the
other
modes
of
inquiry
that
have
been
discussed.
Experimental
research,
for
instance,
deliberately
separates
a
phenomenon
from
its
context,
attending
only
to
the
phenomenon
of
interest
(usually
as
represented
by
a
few
variables).
Typically,
experiments
ignore
the
context
by
“controlling”
it
in
a
laboratory
environment.
Historical
research,
by
comparison,
does
deal
with
the
entangled
situation
between
phenomenon
and
context
but
usually
in
studying
noncontemporary
events.
Finally,
survey
research
can
try
to
deal
with
phenomenon
and
context,
but
a
survey’s
ability
to
investigate
the
context
is
extremely
limited.
The
survey
designer,
for
instance,
constantly
struggles
to
limit
the
number
of
items
in
a
questionnaire
(and
hence
the
number
of
questions
that
can
be
analyzed)
to
fall
safely
within
the
allotted
degrees
of
freedom
(usually
constrained
by
the
number
of
respondents
who
are
to
be
surveyed
as
well
as
the
presumed
variability
in
the
likely
response
sets).
The
second
part
of
the
definition
of
case
studies
arises
because
phenomenon
and
context
are
not
always
sharply
distinguishable
in
real-world
situations.
Therefore,
other
methodological
characteristics
become
relevant
as
the
features
of
a
case
study,
when
doing
case
study
research:
2.
A
case
study
o
copes
with
the
technically
distinctive
situation
in
which
there
will be
many
more
variables
of
interest
than
data
points,!
and
as
one
result
o
benefits
from
the
prior
development
of
theoretical
propositions
to
guide
design,
data
collection,
and
analysis,
and
as
another
result
o
relies
on
multiple
sources
of
evidence,
with
data
needing
to
converge
in
a
triangulating
fashion.
In
essence,
the
twofold
definition—covering
the
scope
and
features
of
a
case
study—shows
how
case
study
research
comprises
an
all-encompassing
mode
of
inquiry,
with
its
own
logic
of
design,
data
collection
techniques,
and
specific
approaches
to
data
analysis.
In
this
sense,
case
studies
are
not
limited
to
being
a
data
collection
tactic
alone
or
even
a
design
feature
alone
(Stoecker,
1991).
How
case
study
research
is
practiced
is
the
topic
of
this
entire
book.
See
Tutorial
1.1
on
the
companion
website
at
study.sagepub.com/yin6e
for
an
elaboration
of
the
definition
of
“case
study.”
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Exercise
1.4
Finding
and
Analyzing
an
Existing
Case
Study
From
the
Research
Literature
3
Retrieve
an
example
of
case
study
research
from
the
research
literature.
The
case
study
can
be
on
any
topic,
but
it
must
have
some
empirical
method
and
present
some
empirical
(qualitative
or
quantitative)
data.
Why
is
this
a
research
case
study?
What,
if
anything,
is
distinctive
about
the
findings
that
could
not be
learned
by
using
some
other
social
science
method
focusing
on
the
same
topic?
Applicability
of
different
epistemological
orientations.
This
all-encompassing
mode
of
inquiry
also
can
embrace
different
epistemological
orientations—for
example,
embracing
a
relativist
or
interpretivist
orientation,
compared
with
a
realist
orientation.2
Much
of
case
study
research
as
it
is
described
in
this
book
appears
to
be
oriented
toward
a
realist
perspective,
which
assumes
the
existence
of
a
single
reality
that
is
independent
of
any
observer.
However,
case
study
research
also
can
excel
in
accommodating
a
relativist
perspective
(e.g.,
Boblin,
Ireland,
Kirkpatrick, &
Robertson,
2013;
Leppéaho,
Plakoyiannaki,
&
Dimitratos,
2015)—
acknowledging
multiple
realities
and
having
multiple
meanings,
with
findings
that
are
observer
dependent.
By
pursuing
a
relativist
perspective,
you
might
pursue
a
constructivist
approach
in
designing
and
conducting
your
case
study—attempting
to
capture
the
perspectives
of
different
participants
and
focusing
on
how
their
different
meanings
illuminate
your
topic
of
study.
Although
this
book
may
not
offer
comprehensive
guidance
on
pursuing
a
relativist
or
constructivist
approach,
many
of
the
book’s
topics
still
offer
helpful
and
relevant
ideas
for
doing
such
case
studies.
For
instance,
Chapter
2
will
later
discuss
the
importance
of
“theory”
in
designing
case
studies
and
alert
you
to
the
optional
choices.
Variations
in
Case
Studies
as
a
Research
Method
Certain
other
characteristics
of
case
studies
are
not
critical
for
defining
the
method.
They
may
be
considered
variations
in
case
studies,
which
now
also
provide
the
opportunity
to
address
the
three
questions
posed
at
the
outset
of
this
subsection.
Yes,
case
studies
include
both
single-
and
multiple-case
studies
(e.g.,
Stake,
2006).
Although
some
fields,
such
as
political
science
and
public
administration,
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
have
tried
to
distinguish
between
these
two
situations
(and
have
used
such
terms
as
the
comparative
case
method
as
a
distinctive
form
of
multiple-case
studies;
see
Agranoff
& Radin,
1991;
Dion,
1998;
Lijphart,
1975),
single-
and
multiple-
case
studies
are
in
reality but
two
variations
of
case
study
designs
(see
Chapter
2
for
more).
BOX
3
contains
two
examples
of
multiple-case
studies.
Box
3
Multiple-Case
Studies:
Case
Studies
Containing
Multiple
The
same
case
study
can
cover
multiple
cases
and
then
draw
a
single
set
of
“cross-case” conclusions.
The
following
two
examples
both
focused
on
a
topic
of
continuing
public
interest:
identifying
successful
programs
to
improve
U.S.
social
conditions.
3A.
A
Cross-Case
Analysis
Following
the
Presentation
of
Separate,
Single-Case
Studies
Jonathan
Crane
(1998)
edited
a
book
that
has
nine
social
programs
as
separate
case
studies.
Each
case
study
had
a
different
author
and
was
presented
in
its
own
chapter.
The
programs
had
in
common
strong
evidence
of
their
effectiveness,
but
they
varied
widely
in
their
focus
—from
education
to
nutrition
to
drug
prevention
to
preschool
programs
to
drug
treatment
for
delinquent
youths.
The
editor
then
presented
a
cross-program
analysis
in
a
final
chapter,
attempting
to
draw
generalizable
conclusions
that
could apply
to
many
other
programs.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
3B.
A
Book
Whose
Entire
Text
Is
Devoted
to
the
Multiple-Case
(“Cross-Case”)
Analysis
Lisbeth
Schorr’s
(1997)
book
is
about
major
strategies
for
improving
social
conditions,
illustrated
by four
policy
topics:
welfare
reform,
strengthening
the
child
protection
system,
education
reform,
and
transforming
neighborhoods.
The
book
continually
refers
to
specific
cases
of
successful
programs,
but
these
programs
do
not
appear
as
separate,
individual
chapters
or
case
studies.
Also
citing
data
from
the
literature,
the
author
develops
numerous
generalizations
based
on
the
cases,
including
the
need
for
successful
programs
to
be
“results
oriented.”
Similarly,
she
identifies
six
other
attributes
of
highly
effective
programs
(also
see
BOX
44A
and
44B,
Chapter
6).
And
yes,
case
studies
can
include,
and
even
be
limited
to,
quantitative
evidence.
In
fact,
any
contrast
between
quantitative
and
qualitative
evidence
does
not
set
apart
the
various
research
methods.
Note
that,
as
analogous
examples,
some
experiments
(such
as
studies
of
perceptions)
and
some
survey
questions
(such
as
those
seeking
categorical
rather
than
numerical
responses)
rely
on
qualitative
and
not
quantitative
evidence.
At
the
opposite
end
of
the
spectrum,
some
historical
studies
can
include
enormous
amounts
of
quantitative
evidence.
As
an
important
caveat
to
the
preceding
paragraph,
the
relationship
between
case
study
research
and
qualitative
research
still
has
not
been
fully
explored.
Some
have
recognized
case
studies
as
being
among
the
viable
choices
in
doing
qualitative
research
(e.g.,
Creswell
&
Poth,
2017).
Nevertheless,
and
in
contrast,
the
features
and
core
characteristics
of
case
studies—for
example,
the
necessity
for
defining
a
“case,”
the
triangulation
among
multiple
sources
of
evidence,
and
the
ability
to
rely
on
quantitative
data—seem
to
push
case
study
research
beyond
being
a
type
of
qualitative
research.
As
a
further
example,
case
study
research
need
not
always
engage
in
the
thick
description
(Geertz,
1973)
or
detailed
observational
evidence
that
marks
many
forms
of
qualitative
research.
And
as
yet
another
challenge,
qualitative
research
(almost
by
definition)
may
not
be
limited
to
quantitative
evidence.
Not
surprisingly,
some
disciplines
such
as
psychology
have
tended
to
allow
case
study
research
and
qualitative
research
to
stand
apart
from
each
other
(see
Appendix
A
of
this
book).
And
yes
(and
as
discussed
in
greater
detail
in
Appendix
B
of
this
book),
case
study
research
has
its
own
place
in
doing
evaluations
(see
Cronbach
&
Associates,
1980;
Patton,
2015;
Stufflebeam
&
Shinkfield,
2007,
pp.
309-324;
U.S.
Government
Accountability
Office,
1990;
Yin,
2013).
There
are
at
least
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
four
different
applications
(U.S.
Government
Accountability
Office,
1990).
The
most
important
is
to
explain
the
presumed
causal
links
in
real-world
interventions
that
are
too
complex
for
survey
or
experimental methods.
A
second
application
is
to
describe
an
intervention
and
the
real-world
context
in
which
it
occurred.
Third,
a
case
study
can
illustrate
certain
topics
within
an
evaluation,
again
in
a
descriptive
mode.
Fourth,
case
study
research
may
be
used
to
enlighten
those
situations
in
which
the
intervention
being
evaluated
has
no
clear,
single
set
of
outcomes.
Whatever
the
application,
one
constant
theme
is
that
program
sponsors—rather
than
researchers
alone—may
have
a
prominent
role
in
defining
the
evaluation
questions
and
relevant
data
categories.
Addressing
Traditional
Concerns
About
Case
Study
Research
Although
case
study
research
is
a
distinctive
mode
of
social
science
inquiry,
many
researchers
nevertheless
disdain
case
studies.
As
an
illustration,
case
studies
have
been
viewed
as
a
less
desirable
research
method
than
either
an
experiment
or
a
survey.
Why
is
this?
Rigorous
enough?
Perhaps
the
greatest
concern
has
arisen
over
a
presumed
need
for
greater
rigor
in
doing
case
study
research.
Too
many
times,
a
case
study
researcher
has
been
sloppy,
has
not
followed
systematic
procedures,
or
has
allowed
equivocal
evidence
to
influence
the
direction
of
the
findings
and
conclusions.
In
doing
case
study
research,
you
need
to
avoid
such
practices.
Confusion
with
“nonresearch”
case
studies.
As
discussed
in
the
preface
to
this
book,
case
studies
have
played
a
prominent
role
outside
of
the
research
realm.
These
include
case
studies
that
(a)
serve
teaching
or
professional
development
functions
(“teaching-practice”
case
studies),
(b)
appear
in
the
popular
literature
and
media
(“popular”
case
studies),
or
(c)
appear
as
an
integral
part
of
various
administrative
archives
(“case
records”™).
Although
all
three
types
of
case
studies
have
great
value,
they
nevertheless
may
be
considered
nonresearch
case
studies.
They
do
not
claim
to
follow
a
research
method,
and
they
may
not
be
concerned
with
conventional
social
science
procedures—as
in
formally
describing
their
methodologies.
Thus,
in
each
of
the
three
nonresearch
situations,
the
producer
of
the
case
study
was
not
necessarily
conducting
the
case
study
as
a
research
endeavor
but
was
serving
some
other
purpose.
The
ensuing
case
study
might
have
been
carefully
crafted
and
well
written,
and
it
might
have
led
to
informative
conclusions,
but
the
producer
may
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
not
have
been
trying
to
follow
any
explicit
research
method.
For
instance,
the
use
of
case
studies
as
a
teaching
tool,
originally
popularized
as
“teaching
cases”
in
the
fields
of
law,
business,
medicine,
or
public
administration
(e.g.,
Ellet,
2007;
Garvin,
2003;
Llewellyn,
1948;
Stein,
1952;
Towl,
1969;
Windsor
&
Greanias,
1983)
now
embraces
virtually
every
professional
field
and
subspecialty,
including
those
in
the
physical
and
life
sciences.2
The
teaching-
practice
case
study
may
dominate
a
professional
course
curriculum
(e.g.,
in
business
schools
or
law
schools)
or
may
appear
as
a
supplement
in
a
pedagogical
setting
(e.g.,
continuing
education
courses
in
medicine
or
other
fields).
Either
way,
for
teaching
purposes,
this
kind
of
case
study
need
not
contain
a
complete
rendition
of
all
the
critically
relevant
events
or
perspectives.
Rather,
the
purpose
of
the
teaching-practice
case
study
is
to
establish
a
framework
for
student
discussion
and
debate
around
some
critical
professional
issue.
The
criteria
for
developing
good
teaching
and
training
case
studies—usually
of
the
single-
and
not
multiple-case
variety—are
therefore
different
from
those
for
doing
case
study
research
(e.g.,
Caulley
&
Dowdy,
1987).
The
same
confusion
also
may
extend
to
the
unknown
quality
of
case
studies
when
they
appear
in
the
popular
literature
or
media
(popular
case
studies).
The
presented
case
study
may
span
an
entire
magazine
article
or
appear
as
a
brief
vignette
or
video.
Under
any
of
these
circumstances,
the
writers
still
readily
refer
to
their
work
as
a
“case
study.”
As
one
result,
many
people,
including
scholars
in
non-social
science
fields,
may
then
inappropriately
derive
their
impression
of
case
study
research
from
these
popular
works
that
in
fact
do
not
claim
to
have
followed
any
research
method.
Finally,
case
studies
may
appear
as
case
records.
Medical
records,
social
work
files,
and
other
case
records
can
be
used
to
facilitate
some
administrative
practice,
such
as
a
case-based
procedure
involving
child
custody
evaluation
(e.g.,
Vertue,
2011).
Although
the
creation
of
a
case
record
or
case
evaluation
may
follow
a
similar
procedure
as
if
doing
a
research
case
study,
in
fact
the
criteria
for
developing
case
records
differ
from
those
for
doing
case
study research.
In
particular,
Bromley
(1986)
suggests
that
the
content
of
case
records
may
be
undesirably
influenced
by
“expectations
regarding
accountability
rather
than
factual
data”
(p.
69)—also
see
Appendix
A
of
this
book.
You
need
to
be
alert
to
the
possibility
that
some
people’s
only
prior
exposure
to
case
studies
may
have
been
to
these
three
types
of
nonresearch
case
studies.
Such
an
exposure
may
taint
a
person’s
view
of
the
case
study
as
a
research
method.
For
instance,
because
the
teaching-practice
case
studies
exist
in
great
number
and
are
used
nowadays
so
routinely
in
professional
training
(preservice
and
inservice),
the
experience
can
have
a
disparaging
effect
on
one’s
impressions
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
of
case
studies
as
a
research
method.
When
doing
a
research
case
study,
you
need
to
overcome
this
confusion
by
highlighting
your
methodic
procedures,
especially
the
reporting
of
all
evidence
fairly.
You
also
need
to
be
transparent
and
explicit
about
limiting
or
eliminating
any
biases,
similar
to
efforts
in
the
other
modes
of
social
science
inquiry,
such
as
in
avoiding
the
“experimenter
effect”
(see
Rosenthal,
1966),
in
designing
unbiased
survey
questions
(Sudman
&
Bradburn,
1982),
or
in
searching
for
evidence
when
doing
historical
research
(Gottschalk,
1968).
The
challenges
are
not
different,
but
in
case
study
research,
they
may
occur
more
frequently
and
demand
greater
attention.
In
essence,
your
procedures
and
documentation
need
to
distinguish
your research
case
study
from
the
other
kinds
of
nonresearch
case
studies.
Exercise
1.5
Examining
Teaching-Practice
Case
Studies
3
Obtain
a
copy
of
a
case
study
designed
for
teaching
purposes
(e.g.,
a
case
study
in
a
textbook
used
in
a
business
school
course).
Identify
the
specific
ways
in
which
this
type
of
“teaching
case”
is
different
from
research
case
studies.
Does
the
teaching
case
fully
cite
its
primary
sources,
contain
all
the
relevant
evidence,
or
display
data
so
you
can
arrive
at
your
own
interpretation
of
the
conclusions?
Does
the
teaching
case
discuss
how
the
evidence
resulted
in
substantive
findings
and
conclusions
and
compare
them
with
rival
interpretations?
What
appears
to
be
the
main
objective
of
the
teaching
case?
Generalizing
from
case
studies?
A
third
common
concern
about
case
study
research
is
an
apparent
inability
to
generalize
from
case
studies.
“How
can
you
generalize
from
a
single-case
study?”
is
a
frequently
heard
question.
The
answer
is
not
simple.
However,
consider
for
the
moment
that
the
same
question
had
been
asked
about
an
experiment:
“How
can
you
generalize
from
a
single
experiment?”
In
fact,
generalizations
in
the
physical
and
life
sciences
are
rarely
based
on
single
experiments.
They
are
usually
based
on
a
multiple
set of
experiments
that
have
replicated
the
same
phenomenon
under
different
conditions.
Even
then,
the
generalizations
from
experimental
research
can
vacillate
enormously
over
time
(think
of
the
many
reversals
regarding
the
presumed
nutritional
consequences
from
consuming
caffeine
or
other
foods).
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
The
same
approach
can
be
used
with
case
studies,
as
discussed
in
detail
in
Chapter
2.
The
short
answer
is
that
case
studies,
like
experiments,
are
generalizable
to
theoretical
propositions
and
not
to
populations
or
universes.
In
this
sense,
neither
the
“case”
nor
the
case
study,
like
the
experiment,
represent
“samples.”
Rather,
in
doing
case
study
research,
your
goal
will
be
to
expand
and
generalize
theories
(analytic
generalizations)
and
not
to
extrapolate
probabilities
(statistical
generalizations).
Or,
as
three
notable
social
scientists
describe
in
their
single-case
study
done
years
ago,
the
goal
is
to
do
a
“generalizing”
and
not
a
“particularizing”
analysis
(Lipset,
Trow,
&
Coleman,
1956,
pp.
419-420).4
Unmanageable
level
of
effort?
A
fourth
frequent
concern
about
case
study
research
is
that
case
studies
can
potentially
take
too
long
and
result
in
massive,
unreadable
documents.
This
concern
may
be
appropriate,
given
the
way
case
studies
have been
done
in
the
past
(e.g.,
Feagin
et
al.,
1991),
but
this
is
not
necessarily
the
way
case
studies
must
be
done
in
the
future.
Chapter
6
discusses
alternative
ways
of
composing
a
case
study
(whether
presenting
the
case
study
in
writing
or
orally)—including
an
option
in
which
the
traditional,
flowing
(and
potentially
lengthy)
narrative
even
can
be
avoided,
if
desired.
Nor
need
case
studies
take
a
long
time.
This
incorrectly
confuses
case
study
research
with
a
specific
method
of
data
collection,
such
as
ethnography
(e.g.,
O’Reilly,
2012)
or
participant-observation
(e.g.,
DeWalt
&
DeWalt,
2011).
Ethnographies
usually
require
long
periods
in
the
field
and
emphasize
detailed
observational
and
interview
evidence.
Participant-observation
may
similarly
assume
a
hefty
investment
of
field
effort.
In
contrast,
case
study
research
is
a
form
of
inquiry
that
does
not
depend
solely
on
ethnographic
or
participant-
observer
data.
Comparative
advantage?
A
fifth
possible
concern
with
case
study
research
has
to
do
with
its
unclear
comparative
advantage,
in
contrast
to
other
research
methods.
This
issue
especially
emerged
during
the
first
decade
of
the
21st
century,
which
favored
randomized
controlled
trials
(RCTs)
or
“true
experiments,”
especially
in
education
and
related
topics.
These
kinds
of
experiments
were
esteemed
because
they
aimed
to
establish
the
effectiveness
of
various
treatments
or
interventions
(e.g.,
Jadad
&
Enkin,
2007).
In
the
eyes
of
many,
the
emphasis
led
to
a
downgrading
of
case
study
research
because
case
studies
(and
other
types
of
nonexperimental
methods)
cannot
directly
address
the
effectiveness
issue.
Overlooked
has
been
the
possibility
that
case
studies can
nevertheless
offer
important
insights
not
provided
by
RCTs. Noted
quantitative
scholars
suggest,
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
for
instance,
that
RCTs,
though
addressing
the
effectiveness
question,
are
limited
in
their
ability
to
explain
“how”
or
“why”
a
given
treatment
or
intervention
necessarily
worked
(or
not),
and
that
case
studies can
investigate
such
issues
(e.g.,
Shavelson
&
Towne,
2002,
pp.
99-106)—or,
as
succinctly
captured
by
the
subtitle
of
an
excellent
article
on
evaluating
public
programs,
“not
whether
programs
work,
but
how
they
work”
(Rogers,
2000).2
In
this
sense,
case
study
research
does
indeed
offer
its
own
advantage.
At
a
minimum,
case
studies
may
be
valued
“as
adjuncts
to
experiments
rather
than
as
alternatives
to
them”
(Cook
&
Payne,
2002).
In
clinical
psychology,
a
“large
series
of
single
case
studies,”
confirming
predicted
behavioral
changes
after
the
initiation
of
treatment,
may
augment
the
evidence
of
efficaciousness
from
a
field
trial
(e.g.,
Veerman
&
van
Yperen,
2007).
Finally,
in
a
similar
manner,
case
study
research
can
readily
complement
the
use
of
other
quantitative
and
statistical
methods
(see
BOX
4).
Box
4
Complementarity
of
Case
Study
and
Statistical
Research
In
the
field
of
international
politics,
a
major
proposition
has
been
that
“democracies
seldom
if
ever
make
war
upon
one
another”
(George
&
Bennett,
2005,
p.
37).
The
proposition
has
been
the
subject
of
an
extensive
body
of
research,
involving
statistical
research
as
well
as
case
study
research.
An
excellent
chapter
by
George
and
Bennett
(2005,
pp.
37-58)
shows
how
statistical
studies
may
have
tested
the
correlation
between
regime
types
and
war,
but
how
case
studies
have
been
needed
to
examine
the
underlying
processes
that
might
explain
such
a
correlation.
For
instance,
one
of
the
more
prominent
explanations
has
been
that
democracies
are
able
to
make
formal
commitments
with
each
other
that
make
the
use
of
military
force
unnecessary
for
resolving
disputes
(p.
57).
The
review
shows
how
the
relevant
research
has
taken
place
over
many
decades,
involving
many
different
scholars.
The
entire
body
of
research,
based
on
both
the
statistical
and
case
studies,
illustrates
the
complementarity
of
these
methods.
Summary.
Despite
the
fact
that
these
five
common
concerns
can
be
allayed,
as
above,
one
major
lesson
is
that
good
case
study
research
is
still
difficult
to
do.
The
inability
to
screen
for
a
researcher’s
ability
to
do
a
good
case
study
further
compounds
the
problem.
People
know
when
they
cannot
play
music;
they
also
know
when
they
cannot
do
mathematics
beyond
a
certain
level,
and
they
can
be
tested
for
other
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
skills,
such
as
the
bar
examination
in
law.
Somehow,
the
skills
for
doing
good
case
study
research
have
not
yet
been
formally
defined.
As
a
result,
“most
people
feel
that
they
can
prepare
a
case
study,
and
nearly
all
of
us
believe
we
can
understand
one.
Because
neither
view
is
well
founded,
the
case
study
receives
a
good
deal
of
approbation
it
does
not
deserve”
(Hoaglin,
Light,
McPeek,
Mosteller,
&
Stoto,
1982,
p.
134).
This
quotation
is
from
a
book
by
five
prominent
statisticians.
Surprisingly,
from
another
field,
even
they
recognize
the
challenge
of
doing
a
good
case
study.
Summary
This
chapter
has
introduced
the
relevance
and
importance
of
case
study
research.
Like
other
social
science
research
methods,
case
studies
investigate
an
empirical
topic
by
following
a
set
of
desired
procedures.
Articulating
these
procedures
dominates
the
remainder
of
this
book.
The
chapter
has
provided
an
operational
definition
of
case
studies
and
has
identified
some
of
the
known
variations.
The
chapter
also
has
distinguished
the
case
study
from
other
social
science
methods,
suggesting
the
situations
in
which
doing
a
case
study
may
be
preferred,
for
instance,
to
doing
a
survey.
Some
situations
may
have
no
clearly
preferred
method,
as
the
strengths
and
weaknesses
of
the
various
methods
may
overlap.
The
basic
goal,
however,
is
to
consider
all
the
methods
in
an
inclusive
and
pluralistic
fashion—before
settling
on
your
method
of
choice
in
conducting
a
new
social
science
study.
Finally,
the
chapter
has
addressed
some
of
the
major
concerns
about
case
study
research,
offering
possible
responses
to
these
concerns.
However,
we
must
all
work
hard
to
overcome
the
problems
of
doing
case
study
research,
including
the
recognition
that
some
of
us
were
not
meant,
by
skill
or
disposition,
to
do
such
research
in
the
first
place.
Case
study
research
is
remarkably
hard,
even
though
case
studies
have
traditionally
been
considered
to
be
“soft”
research,
possibly
because
researchers
have
not
followed
systematic
procedures.
By
offering
an
array
of
such
procedures,
this
book
tries
to
make
case
study
research
easier
to
follow
and
your
own
case
study
better.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Notes
to
Chapter
1
1.
Appendix
A
has
a
full
discussion
of
the
reasons
for the
large
number
of
variables
in
a
case
study.
2.
These
terms
were
deliberately
chosen
even
though
they
oversimplify
two
contrasting perspectives.
Ignored
are the
many
more
subtle
orientations
that
investigators
may
bring
to
their
research. For
brief
definitions,
see
Schwandt’s
(2015a)
dictionary
of
qualitative
inquiry,
which
characterizes
realism
as
“the
doctrine
that
there
are
real
objects
that
exist
independently
of
our
knowledge
of
their
existence,”
relativism
as
“the
doctrine
that
denies
that
there
are
universal
truths,”
and
interpretivism
as
a
term
that
has
occasionally
been
used
as
a
synonym
for
all
qualitative
inquiry.
For
a
fuller
discussion
of
the
worldviews
more
generally,
see
Creswell
(2014).
3.
For
instance,
see
the
case
studies
made
available
by
the
National
Center
for
Case
Study
Teaching
in
Science,
at
the
University
of
Buffalo,
SUNY,
a
resource
supported
by
the
National
Science
Foundation.
4.
There
nevertheless
may
be
exceptional
circumstances
when
a
single-case
study
is
so
unique
or
important
that
a
case
study
investigator
has
no
desire
to
generalize
to
any
other case
studies.
See
Stake’s
(2005)
“intrinsic”
case
studies,
Lawrence-Lightfoot
and
Davis’s
(1997)
“portraits,”
and
Abma
and Stake’s
(2014)
“naturalistic”
case
studies.
5.
Scholars
also
point
out
that
the
classic
experiments
only
can
test
simple
causal
relationships—that
is,
when
a
single
treatment
such
as
a
new
drug
is
hypothesized
to
produce
an
effect.
However,
for
many
social
and
behavioral
topics,
the
relevant
causes
may
be
complex
and
involve
multiple
interactions,
and
investigating
these
may
well
be
beyond
the
capability
of
any
single
experiment
(George
&
Bennett,
2005,
p.
12).
Body
Exercise
icon by
Gan
Khoon
Lay
(https://thenounproject.com/icon/637461/)
licensed
under
CC
BY
3.0
(https://creativecommons.org/licenses/by/3.0/us/)
is
used
in
the
Exercise
boxes
throughout
the
chapter.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
”
Designing
Case
Studies
[dentifying
Your
Case(s)
and
Establishing
the
Logic
of
Your
Case
Study
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Chapter
2:
Design
o
Define
the
case(s)
to
be
studied
e
Develop
theory,
propositions,
and
related
issues
to
guide
the
anticipated
case
study
and
generalize
its
findings
o
Identify
the
case
study
design
(single
or
multiple,
holistic
or
embedded
cases)
o
Test
the
design
against
four
criteria
for
maintaining
the
quality
of
a
case
study
Abstract
A
research
design
links
the
data
to
be
collected
(and
the
conclusions
to
be
drawn)
to
the
initial
questions
of
study.
Every
empirical
study
has
an
implicit,
if
not
explicit,
research
design.
You
can
strengthen
case
study
designs
by
articulating
a
“theory”
about
what
is
to
be
learned.
The
theoretical
propositions
also
lay
the
groundwork
for
making
analytic
rather
than
statistical
generalizations
from
your
case
study.
Critical
to
the
design
will
be
to
define
the
“case”
to
be
studied
and
to
set
some
limits
or
bounds
to
the
case.
You
can
then
examine
the
quality
of
your
emerging
design
in
relation
to
four
tests
commonly
used
in
social
science
research:
(a)
construct
validity,
(b)
internal
validity,
(c)
external
validity,
and
(d)
reliability.
Among
the
specific
case
study
designs,
four
major
types
follow
a
2
x
2
matrix.
The
first
pair
consists
of
single-case
study
and
multiple-
case
study
designs.
The
second
pair,
occurring
in
combination
with
either
of
the
first
pair,
distinguishes
between
holistic
and
embedded
designs.
Whether
holistic
or
embedded,
single-case
studies
can
be
invaluable
when
the
single-case
has
any
of
five
characteristics—
being
a
critical,
extreme
or
unusual,
common,
revelatory,
or
longitudinal
case.
Again
whether
holistic
or
embedded,
the
selection
of
the
cases
in
a
multiple-case
study
should
follow
a
replication
rather
than
sampling
logic.
Although
single-case
studies
can
yield
invaluable
insights,
most
multiple-case
studies
are
likely
to
be
stronger
than
single-case
studies.
Compared
with
doing
a
single-case
study,
trying
even
a
“two-case”
design
is
therefore
a
worthy
objective.
Case
studies
also
can
be
used
in
combination
with
other
methods,
as
part
of
a
larger
mixed-methods
study.
General
Approach
To
Designing
Case
Studies
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Chapter
1
has
shown
when
you
might
choose
to
do
case
study
research,
as
opposed
to
other
types
of
research,
to
carry
out
a
new
study.
The
next
step
is
to
design your
case
study.
For
this
purpose,
as in
designing
any
other
type
of
research,
you
need
a
research
design.
The
research design
will
call
for
careful
craftwork.
Unlike
other
research
methods,
a
standard
catalog
of
case
study
designs
has
yet
to
emerge. There
are
no
textbooks,
like
those
in
the
biological
and
psychological
sciences,
covering
such
design
considerations
as
the
assignment
of
subjects
to
different
groups,
the
selection
of
different
stimuli
or
experimental
conditions,
or
the
identification
of
various
response
measures
(see
Cochran
&
Cox,
1992;
Fisher,
1990;
Sidowski,
1966).
In
an
experiment,
each
of
these
choices
reflects
an
important
logical
connection
to
the
issues
being
studied.
Nor
have
any
common
case
study
designs
emerged—such
as
the
panel
studies,
for
example—used
in
surveys
(see
Kidder
&
Judd,
1986,
chap.
6).
One
pitfall
to
be
avoided,
however,
is
to
consider
case
study
designs
as
a
subset
or
variant
of
the
research
designs
used
for
other
methods,
such
as
quasi-
experiments
(e.g.,
Campbell
&
Stanley,
1966;
Cook
&
Campbell,
1979).
For
a
long
time,
scholars
incorrectly
thought
that
the
case
study
was
but
one
type
of
quasi-experimental
design
(the
“one-shot
post-test-only”
design—Campbell
&
Stanley,
1966,
pp.
6-7).
Although
the
misperception
lingers
to
this
day,
it
was
later
corrected
when
one
of
the
original
authors
made
the
following
statement
in
the
revision
to
his
original
work
on
quasi-experimental
designs:
Certainly
the
case
study
as
normally
practiced
should
not
be
demeaned
by
identification
with
the
one-group
post-test-only
design.
(Cook
&
Campbell,
1979,
p.
96)
Tip:
How
should
I
select
the
case(s)
for
my
case
study?
p'y
You
need
sufficient
access
to
the
data
for
your
potential
case—whether
to
interview
people,
review
documents
or
records,
or
make
field
observations.
Given
such
access
to
more
than
a
single
candidate
case,
you
should
choose
the
case(s)
that
will
most
likely
illuminate
your
research
questions.
Absent
sufficient
access,
you
may
want
to
consider
changing
your research
questions,
hopefully
leading
to
new
candidates
to
which
you
do
have
access.
Do
you
think
access
should
be
so
important?
In
other
words,
the
one-shot,
posttest-only
design
as
a
quasi-experimental
design
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
still
may
be
flawed,
but
case
studies
have
now
been
recognized
as
something
different,
with
their
own
research
designs.
Unfortunately,
case
study
designs
have
not
been
codified.
The
following
chapter
therefore
expands
on
the
ground
broken
by
earlier
editions
of
this
book
and
describes
a
basic
set
of
research
designs
for
doing
single-
and
multiple-case
studies.
Although
these
designs
will
need
to
be
modified
and
improved
in
the
future,
they
will
nevertheless
help
you
to
design
more
rigorous
and
methodologically
sound
case
studies.
Definition
of
Research
Designs
Every
type
of
empirical
research
study
has
an
implicit,
if
not
explicit,
research
design.
In
the
most
elementary
sense,
the
design
is
the
logical
sequence
that
connects
the
empirical
data
to
a
study’s
initial
research
questions
and,
ultimately,
to
its
conclusions.
Colloquially,
a
research
design
is
a
logical
plan
for
getting
from
here
to
there,
where
here
may
be
defined
as
the
set
of
questions
to
be
addressed,
and
there
is
some
set of
conclusions
about
these
questions.
Between
here
and
there
may
be
found
a
number
of
major
steps,
including
the
collection
and
analysis
of
relevant
data.
As
a
summary
label,
another
textbook
has
labeled
a
research
design
as
a
logical
model
of
proof
(Nachmias
&
Nachmias,
2014).
Another
way
of
thinking
about
a
research
design
is
as
a
“blueprint”
for
your
research,
dealing
with
what
questions
to
study,
what
data
are
relevant,
what
data
to
collect,
and
how
to
analyze
the
results
(Philliber,
Schwab,
&
Samsloss,
1980).
Note
that
a
research
design
is
more
than
a
work
plan.
The
design’s
main purpose
is
to
avoid
the
situation
in
which
the
evidence
does
not
address
the
research
questions.
In
this
sense,
the
design
deals
with
a
logical,
not
a
logistical,
problem.
For
example, suppose
you
want
to
study
a
single
organization.
Your
research
questions
have
to
do
with
the
organization’s
competitive
or
collaborative
relationships
with
other
organizations.
You
can
properly
address
such
questions
only
if
you
collect
information
from
the
other
organizations,
not
just
the
one
you
started
with.
If
you
examine
the
relationships
from
the
vantage
point
of
only
one
organization,
you
cannot
draw
unbiased
conclusions.
This
is a
flaw
in
your
research
design,
not
in
your
work
plan.
Components
of
Research
Designs
In
case
study
research,
five
components
of
a
research
design
are
especially
important:
A
case
study’s
questions;
Its
propositions,
if
any;
Its
case(s);
The
logic
linking
the
data
to
the
propositions;
and
LN
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
5.
The
criteria
for
interpreting
the
findings.
Study
questions.
This
first
component
has
already
been
described
in
Chapter
1,
which
suggested
that
the
form
of
the
question—in
terms
of
“who,”
“what,”
“where,”
“how,”
and
“why”—provides
an
important
clue
regarding
the
most
relevant
research
method
to
be
used.
Case
study
research
is
most
likely
to
be
appropriate
for
“how”
and
“why”
questions,
so
your
initial
task
is
to
clarify
precisely
the
nature
of
your
study
questions
in
this
regard.
More
troublesome
may
be
your
having
to
come
up
with
the
substance
of
the
questions.
Many
students
take
an
initial
stab,
only
to
be
discouraged
when
they
find
the
same
question(s)
already
well
covered
by
previous
research.
Other
less
desirable
questions
focus
on
too
trivial
or
minor
parts
of
an
issue.
A
helpful
hint
is
to
move
in
three
stages.
In
the
first,
try
to
use
the
literature
to
narrow
your
interest
to
a
key
topic
or
two,
not
worrying
about
any
specific
research
questions.
In
the
second,
examine
closely—even
dissect—a
few
key
studies
on
your
topic
of
interest.
Identify
the
questions
in
those
few
studies
and
whether
they
conclude
with
new
questions
or
loose
ends
for
future
research.
These
may
then
stimulate
your
own
thinking
and
imagination,
and
you
may
find
yourself
articulating
some
potential
questions
of
your
own.
In
the
third
stage,
examine
another
set of
studies
on
the
same
topic.
They
may
reinforce
the
relevance
and
importance
of
your
potential
questions
or
even
suggest
ways
of
sharpening
them.
As
a
brief
reminder,
Chapter
1
also
mentioned
that,
even
in
the
absence
of
defining
your
research
questions,
you
could
start
with
some
fieldwork
first.
What’s
going
on
in
the field
might
then
suggest
relevant
questions
for
study.
However,
be
careful
about
this
alternative.
You
may
be
unduly
swayed
by
transient
conditions
that
won’t
lead
to
insightful
research
questions.
Also,
a
lot
is
going
on
in
the
field,
so
knowing
where
to
focus
your
attention
may
be
no
easier
than
culling
the
literature
to
identify
good
questions.
Study
propositions.
As
for
the
second
component,
each
proposition
directs
attention
to
something
that
should
be
examined
within
the
scope
of
study.
For
instance,
assume
that
your
research,
on
the
topic
of
interorganizational
partnerships,
began
with
the
following
question:
How
and
why
do
organizations
collaborate
with
one
another
to
provide
joint
services
(e.g.,
a
manufacturer
and
a
retail
outlet
collaborating
to
sell
certain
computer
products)?
These
“how”
and
“why”
questions,
capturing
what
you
are
really
interested
in
addressing,
led
you
to
case
study
research
as
the
appropriate
method
in
the
first
place.
Nevertheless,
these
“how”
and
“why”
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
questions
may
not
sufficiently
point
to
what
you
should
study.
Only
if
you
are
forced
to
state
some
propositions
will
you
move
in
the
right
direction. For
instance,
you
might
think
that
organizations
collaborate
because
they
derive
mutual
benefits.
This
proposition,
besides
reflecting
an
important
theoretical
issue
(that
other
incentives
for
collaboration
do
not
exist
or
are
unimportant),
also
begins
to
tell
you
where
to
look
for
relevant
evidence
(i.e., to
define
and
ascertain
the
extent
of
specific
benefits
to
each
organization).
At
the
same
time,
exploratory
studies
may
have
a
legitimate
reason
for
not
having
any
propositions.
Every
exploration,
however,
should
still
have
some
purpose.
Instead
of
propositions,
the
design
for
an
exploratory
study
should
state
this
purpose,
as
well
as
the
criteria
by
which
an
exploration
will
be
judged
successful
(or
not).
One
successful
outcome
might
include
the
identification
of
the
propositions
to
be
examined
in
the
later
study.
Consider
the
analogy
in
BOX
5
for
exploratory
case
studies.
Can
you
imagine
how
you
would
ask
for
support
from
Queen
Isabella
to
do
your
exploratory
study?
Box
5
“Exploration”
as
an
Analogy
for
an
Exploratory
Case
Study
When
Christopher
Columbus
went
to
Queen
Isabella
to
ask
for
support
for his
“exploration”
of
the
New
World,
he
had
to
have
some
reasons
for
asking
for
three
ships
(Why
not
one?
Why
not
five?),
and
he
had
some
rationale
for
going
westward
(Why
not
south?
Why
not
south
and
then
east?).
He
also
had
some
(mistaken)
criteria
for
recognizing
the
Indies
when
he
actually
encountered
them.
In
short,
his
exploration
began
with
some
rationale
and
direction,
even
if
his
initial
assumptions
might
later
have
been
proved
wrong
(Wilford,
1992).
This
same
degree
of
rationale
and
direction
should
underlie
even
an
exploratory
case
study.
For
an
example
of
an
exploratory
case
study,
see
Application
1
at
the
end
of
this
chapter.
The
“case.”
This
third
component
deals
with
your
identifying
the
“case”
to
be
studied—a
problem
that
rightfully
confronts
many
researchers
at
the
outset
of
their
case
studies
(e.g.,
Ragin
&
Becker,
1992).
You
will
need
to
consider
at
least
two
different
steps:
defining
the
case
and
bounding
the
case.
In
defining
the
case,
the
classic
case
studies
usually
focus
on
an
individual
person
as
the
case
(e.g.,
Bromley,
1986,
p.
1).
Jennifer
Platt
(1992)
has
noted
how
the
early
case
studies
by
scholars
in
the
Chicago
school
of
sociology were
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
life
histories
of
such
persons
as
juvenile
delinquents
or
derelict
men.
You
also
can
imagine
case
studies
of
clinical
patients
(e.g.,
Brice,
Wallace,
&
Brice,
2014;
Johansen,
Tavakoli,
Bjelland,
&
Lumley,
2017),
exemplary
students
(e.g.,
Jett,
Curry,
&
Vernon-Jackson,
2016;
Schmitt & Goebel,
2015),
teachers
(e.g.,
Parsons,
2012),
or
different
leaders.
In
each
situation,
an
individual
person
is
the
case
being
studied.
Information
about
the
relevant
individual
would
be
collected,
and
several
such
individuals
or
“cases”
might
be
included
in
a
multiple-case
study.
You
would
still
need
study
questions
and
study
propositions
to
help
identify
the
relevant
information
to
be
collected
about
this
individual
or
individuals.
Without
such
questions
and
propositions,
you
might
be
tempted
to
cover
“everything”
about
the
individual(s),
which
is
impossible
to
do.
For
example,
the
propositions
in
studying
these
individuals
might
be
limited
to
the
influence
of
early
childhood
or
the
role
of
peer
relationships.
Such
seemingly
general
topics
nevertheless
represent
a
vast
narrowing
of
the
relevant
scope
and
subsequent
need
for
data.
The
more
a
case
study
contains
specific
questions
and
propositions,
the
more
it
will
stay
within
feasible
limits.
Of
course,
the
“case”
also
can
be
some
event
or
entity
other
than
a
single
person.
Case
studies
have
been done
about
a
broad
variety
of
topics,
including
small
groups
such
as
families
(e.g.,
Kindell,
Sage,
Wilkinson,
&
Keady,
2014),
citizen
participation
(e.g.,
Frieling,
Lindenberg,
&
Stokman,
2014;
Wang
&
Breyer,
2012),
communities,
decisions,
programs
(e.g.,
Gavaravarapu
&
Pavarala,
2014),
nonprofit
organizations
(e.g.,
Kohl-Arenas,
2016),
organizational
learning
(e.g.,
Ohemeng
&
Owusu,
2015),
schools
(e.g.,
Dimartino
&
Jessen,
2016),
and
events
such
as
social
movements
(e.g.,
Vos
&
Wagenaar,
2014)
and
disaster
recovery
efforts
(e.g.,
Chung,
2017;
Downey,
2016).
Feagin
et
al.
(1991)
also
contains
some
classic
examples
of
these
single-cases
in
sociology
and
political
science.
Beware
of
these
types
of
cases—none
is
easily
defined
in
terms
of
the
beginning
or
end
points
of
the
“case.” For
example,
a
case
study
of
a
specific
program
may
reveal
(a)
variations
in
program
definition,
depending
on
the
perspective
of
different
actors,
and
(b)
program
components
that
preexisted
the
formal
designation
of
the
program.
Any
case
study
of
such
a
program
would
therefore
have
to
clarify
whether
these
conditions
form
part
of
the
case
(or
not).
Similarly,
you
might
at
first
identify
a
specific
locale,
such
as
a
“city,”
as
your
case.
However,
your research
questions
and
data
collection
might
in
fact
be
limited
to
tourism
in
the
city,
city
policies,
or
city
government.
These
choices
would
differ
from
defining
the
geographic
city
and
its
population
as
your
case.
As
a
general
clue,
the
tentative
definition
of
your
case
can
derive
from
the
way
you
define
your
initial
research
question(s).
Suppose,
for
example,
you
want
to
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
study
the
role
of
the
United
States
in
the
global
economy.
Years
ago,
Peter
Drucker
(1986)
wrote
a
provocative
essay
(but
not
a
case
study)
about
fundamental
changes
in
the
world
economy,
including
the
importance
of
“capital
movements”
independent
of
the
flow
of
goods
and
services.
If
you
were
interested
in
doing
a
case
study
on
this
topic,
Drucker’s
work
would
only
serve
as
a
starting
point.
You
would
still
need
to
define
the
research
question(s)
of
interest
to
you,
and
each
question
might
point
to
a
different type
of
case.
Depending
on
your
question(s),
the
appropriate
case
might
be
a
country’s
economy,
an
industry
in
the
world
marketplace,
an
economic
policy,
or
the
trade
or
capital
flow
between
countries.
Each
case
and
its
related
questions
and
propositions
would
call
for
a
different
case
study,
each
having
its
own
research
design
and
data
collection
strategy.
If
your research
questions
do
not
lead
to
the
favoring
of
one
case
over
another,
your
questions
may
be too
vague
or
too
numerous—and
you
may
have
trouble
doing
a
case
study.
However,
when
you
eventually
arrive
at
a
definition
of
your
case(s), do
not
consider
closure
permanent.
Your
case
definition,
as
with
other
facets
of
your
research
design,
can
be
revisited
as
a
result
of
discoveries
during
your
data
collection
(see
discussion
and
cautions
about
maintaining
an
adaptive
posture,
throughout
this
book
and
at
the
end
of
this
chapter).
Sometimes,
the
case
may
have
been
defined
one
way,
even
though
the
phenomenon
being
studied
actually
follows
a
different
definition.
For
instance,
investigators
might
have
confused
case
studies
of
neighborhoods
with
case
studies
of
small
groups.
How
a
geographic
area
such
as
a
neighborhood
copes
with
racial
transition,
upgrading,
and
other
phenomena
can
be
quite
different
from
how
a
small
group
copes
with
these
same
phenomena.
For
instance,
two
classic
case
studies,
Street
Corner
Society
(Whyte,
1943/1993;
see
BOX
2A
in
Chapter
1
of
this
book)
and
Tally’s
Corner
(Liebow,
1967;
see
BOX
9,
this
chapter),
frequently
have
been
mistaken
for
being
case
studies
of
neighborhoods
when
in
fact
they
are
case
studies
of
small
groups
(note
that
in
neither
book
is
the
neighborhood
geography
described,
even
though
the
small
groups
lived
in
a
small
area
with
clear
neighborhood
definitions
if
not
boundaries).
In
contrast,
BOX
6
presents
a
good
example
of
how
cases
can
be
defined
in
a
more
discriminating
manner—in
the
field
of
world
trade.
Box
6
Defining
the
Case
Ira
Magaziner
and
Mark
Patinkin’s
(1989)
book,
The
Silent
War:
Inside
the
Global
Business
Battles
Shaping
America’s
Future,
presents
nine
individual
case
studies.
Each
case
study
helps
the
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
reader
to
understand
a
real-life
situation
of
international
economic
competition.
Two
of
the
cases
appear
similar
but
in
fact
represent
different
types
of
cases.
One
case
covers
a
firm—the
Korean
firm
Samsung—and
the
critical
policies
that
make
it
competitive.
Understanding Korean
economic
development
is
part
of
the
context,
and
the
case
study
also
contains
a
nested
entity—Samsung’s
development
of
the
microwave
oven
as
an
illustrative
product.
The
other
case
covers
a
country—
Singapore—and
the
policies
that
make
it
competitive.
Within
the
country
case
study
also
is
a
nested
unit—the
development
of
an
Apple
computer
factory
in
Singapore,
serving
as
an
illustrative
example
of
how
the
national
policies
influence
foreign
investments.
To
reduce
the
confusion
and
ambiguity
in
defining
your
case,
one
recommended
practice
is
to
discuss
your
potential
case
selection
with
a
colleague.
Try
to
explain
to
that
person
what
questions
you
are
trying
to
address
and
why
you
have
chosen
a
specific
case
or
group
of
cases
as
a
way
of
addressing
those
questions.
This
may
help
you
to
avoid
incorrectly
identifying
your
case.
Once
you
have
defined
your
case,
other
clarifications—sometimes
called
bounding
the
case—become
important.
For
instance,
if
the
case
is
a
small
group,
the
persons
to
be
included
within
the
group
(they
will
become
the
immediate
topic
of
your
case
study)
must
be
distinguished
from
those
who
are
outside
of
it
(they
will
become
part
of
the
context
for
your
case
study).
Similarly,
if
the
case
is
about
the
local
services
in
a
specific
geographic
area,
you
need
to
decide
which
services
to
cover.
Also
desirable,
for
almost
any
topic
that
might
be
chosen,
are
the
specific
time
boundaries
to
define
the
estimated
beginning
and
ending
of
the
case,
for
the
purposes
of
your
study
(i.e.,
whether
to
include
the
entire
or
only
some
part
of
the
life
cycle
of
the
entity
that
will
become
the
case).
Bounding
the
case
in
these
ways
will
help
to
determine
the
scope
of
your
data
collection
and,
in
particular,
how
you
will
distinguish
data
about
the
subject
of
your
case
study
(the
“phenomenon”)
from
data
external
to
the
case
(the
“context”).
The
bounding
also
should
tighten
the
connection
between
your
case
and
your
research
questions
and
propositions.
Exercise
2.1
Defining
the
Boundaries
of
a
Case
3
Select
a
topic
for
a
case
study
you
would
like
to
do.
Identify
some
research
questions
to
be
answered
or
propositions
to
be
examined
by
your
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
case
study.
Does
the
naming
of
these
questions
or
propositions
clarify
the
boundaries
of
your
case
with
regard
to
the
time
period
covered
by
the
case
study;
the
relevant
social
group,
organization,
or
geographic
area;
the
type
of
evidence
to
be
collected;
and
the
priorities
for
data
collection
and
analysis?
If
not,
should
you
sharpen
the
original
questions?
These
latter
cautions
regarding
the
need
for
spatial,
temporal,
and
other
explicit
boundaries
underlie
a
key
but
subtle
aspect
in
defining
your
case.
The
desired
case
should
be
a
real-world
phenomenon
that
has
some
concrete
manifestation.
The
case
cannot
simply
be an
abstraction,
such
as
a
claim,
an
argument,
or
even
a
hypothesis.
These
abstractions
could
rightfully
serve
as
the
starting
points
for
research
studies
using
other
kinds
of
methods
and
not
just
case
study research.
To
justify
doing
case
study
research
when
only
starting
with
an
abstraction,
you
need
to
go
one
step
further:
You
need
to
define
a
specific,
real-world
“case”
to
be
the
concrete
manifestation
of
any
abstraction.
(For
examples
of
more
concrete
and
less
concrete
case
study
topics,
see
Figure
2.1.)
Figure
2.1
Illustrative
Cases
for
Case
Studies
More
Concrete
Individuals
Small
Groups
Organizations
Less
Concrete
Communities
Relationships
Decisions
Partnerships
Source:
Clip Art
©
Jupiter
Images.
Take
the
concept
of
“neighboring.”
Alone,
it
could
be
the
subject
of
research
studies
using
methods
other
than
the
case
study
method.
The
other
methods
might
include
a
survey
of
the
relationships
among
neighbors,
a
history
of
the
evolution
of
the
sense
of
neighboring
and
the
creation
of
neighborhood
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
boundaries,
or
an
experiment
in
which
young
children
do
tasks
next
to
each
other
to
determine
the
distracting
effects,
if
any,
of
their
“neighbors”
in
a
classroom.
These
examples
show
how
the
abstract
concept
of
“neighboring”
does
not
alone
produce
the
grounds
for
a
case
study.
However,
the
concept
could
readily
become
a
case
study
topic
if
it
were
accompanied
by
your
selecting
a
specific
neighborhood
(“case”)
to
be
studied and
posing
study
questions
and
propositions
about
the
neighborhood
in
relation
to
the
concept
of
“neighboring.”
(For
a
discussion
of
how
the
“case”
was
defined
to
start
a
case
study,
see
Application
2
at
the
end
of
this
chapter.)
One
final
point
pertains
to
the
role
of
the
available
research
literature.
Most
researchers
will
want
to
conclude
their
case
studies
by
comparing
their
findings
with
previous
research.
For
this
reason,
the
key
definitions
used
at
the
outset
of
your
case
study
should
not
be
unknowingly
idiosyncratic.
Rather,
the
terminology
used
to
define
the
case
should
be
relatable
to
those
previously
studied
by
others—or
should
innovate
in
clear,
operationally
defined
ways.
In
this
manner,
the
previous
literature
also
can
become
a
guide
for
defining
the
case,
whether
you
are
trying
to
emulate
or
to
deviate
from
the
literature.
Exercise
2.2
Defining
the
“Case”
for
a
Case
Study
)
Examine
Figure
2.1.
Discuss
each
subject,
which
illustrates
a
different
kind
of
case.
Find
a
published
case
study
on
at
least
one
of
these
subjects,
indicating
the
specific
case
that
was
studied.
Understanding
that
each
subject
involves
the
selection
of
different
cases
to
be
studied,
do
you
think
that
the
more
concrete
units
might
be
easier
to
define
than
the
less
concrete
ones?
Why?
Linking
data
to
propositions.
The
fourth
component
has
been
increasingly
better
developed
in
doing
case
study
research.
The
component
foreshadows
the
data
analysis
steps
in
your
case
study.
Chapter
5
covers
these
steps
and
the
various
analytic
techniques
and
choices
in
detail.
However,
during
the
design
stage,
you
need
to
be
aware
of
the
choices
and
how
they
might
suit
your
case
study.
In
this
way,
your
research
design
can create
a
more
solid
foundation
for the
later
analysis.
All
the
analytic
techniques
in
Chapter
5
represent
ways
of
linking
data
to
propositions:
pattern
matching,
explanation
building,
time-series
analysis,
logic
models,
and
cross-case
synthesis.
The
actual
analyses
will
require
that
you
combine
or
assemble
your
case
study
data
as
a
direct
reflection
of
your
study
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
propositions.
For
instance,
knowing
that
some
or
all
of
your
propositions
cover
a
temporal
sequence
would
mean
that
you
might
eventually
use
some
type
of
time-
series
analysis.
If
you
note
this
strong
likelihood
during
the
design
phase,
you
might
make
sure
that
your
planned
data
collection
includes
the
collection
of
appropriate
time
markers
as
part
of
the
case
being
studied.
As
a
caution,
if
you
have
had
limited
experience
in
conducting
empirical
studies,
at
the
design
stage
you
may
not
easily
identify
the
likely
analytic
technique(s)
or
anticipate
the
needed
data
to
use
the
techniques
to
their
full
advantage.
Even
more
experienced
researchers
may
find
that
they
have
either
(a)
collected
too
much
data
that
was
not
later
used
in
any
analysis,
or
(b)
collected
too
little
data
that
prevented
the
proper
use
of
a
desired
analytic
technique.
Sometimes,
the
latter
situation
may
force
researchers
to
return
to
their
data
collection
phase
(if
they
can),
to
supplement
the
original
data.
The
more
you
can
avoid
either
of
these
situations,
the
better
off
you
will
be.
Criteria
for
interpreting
the
strength
of
a
case
study’s
findings.
For
other
research
methods,
a
common
illustration
of
this
fifth
component
arises
when
statistical
analyses
are
relevant.
For
instance,
by
convention,
quantitative
studies
consider
a
p
level
of
less
than
.05
to
demonstrate
that
observed
differences
are
“statistically
significant”
and
therefore
associated
with
more
robust
findings.
In
other
words,
the
statistical
benchmarks
serve
as
the
criteria
for
interpreting
the
findings.
However,
much
case
study
analysis
will
not
rely
on
statistics,
leading
to
the
need
to
find
other
ways
of
thinking
about
such
criteria.
When
doing
case
study
research,
a
major
and
important
alternative
strategy
is
to
identify
and
address
rival
explanations
for
your
findings.
Addressing
such
rivals
becomes
a
criterion
for
interpreting
the
strength
of
your
findings:
The
more
rivals
that
have
been
addressed
and
rejected,
the
stronger
will
be
your
findings.
Again,
Chapter
5
discusses
this
strategy
and
how
it
works.
At
the
design
stage
of
your
work,
the
challenge
is
to
anticipate
and
enumerate
the
potentially
important
rivals.
You
will
then
want
to
include
data
about
them
as
part
of
your
data
collection.
If
you
think
of
rival
explanations
only
after
data
collection
has
been
completed,
your thinking
will
help
to
justify
and
design
a
future
study,
but
you
will
not
be
helping
to
complete
your
current
case
study.
For
this
reason,
specifying
important
rival
explanations
is
a
part
of
a
case
study’s
research
design
work.
Summary.
A
research
design
should
include
five
components.
The
first
three
components—
that
is,
defining
your
study’s
questions,
propositions,
and
case(s)—will
lead
your
research
design
into
identifying
the
data
that
are
to
be
collected.
The
last
two
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
components—that
is,
defining
the
logic
linking
the
data
to
the
propositions
and
the
criteria
for
interpreting
the
findings—will
lead
the
design
into
anticipating
your
case
study
analysis,
suggesting
what
is
to
be
done
after
the
data
have been
collected.
The
Role
Of
Theory
In
Research
Designs
Covering
the
preceding
five
components
of
research
designs
can
happen
to
move
you
toward
constructing
some
preliminary
theory
or
theoretical
propositions
related
to
your
topic
of
study.
At
the
same
time,
and
as
suggested
previously,
you
may
want
to
do
some
preliminary
fieldwork
before
trying
to
specify
any
theory
or
propositions
in
greater
detail.
However,
and
also
as
pointed
out
previously,
starting
with
some
fieldwork
first
also
has
its
perils.
For
instance,
you
cannot
start
as
a
true
tabula
rasa.
You
already
will
have
some
implicit
theoretical
orientation
in
deciding
whom
to
contact
in
the
field,
in
your
opening
perspective
about
what’s
going
on
in
the
field,
and
in
choosing
what
to
observe
and
how
to
converse
with
participants.
Without
these
predilections,
you
may
get
lost
in
your
preliminary
fieldwork.
However,
ignoring
them
can
lead
to
a
bias
in
your
case
study.
As
a
result,
you
may
at
least
want
to
acknowledge
some
preliminary
theoretical
considerations
first.
Theory
Development
The
needed
theory
can
be
plain
and simple.
For
example,
a
case
study
on
the
implementation
of
a
new
management
information
system
(MIS)
started
with
the
following
straightforward
theoretical
statement:
The
case
study
will
show
why
implementation
only
succeeded
when
the
organization
was
able
to
re-structure
itself,
and
not
just
overlay
the
new
MIS
on
the
old
organizational
structure.
(Markus,
1983)
The
statement
presents
the
nutshell
of
a
theory
of
MIS
implementation—that
is,
that
implementing
an
MIS
goes
beyond
adding
a
new
technology
to
an
existing
organization
but
requires
some
organizational
restructuring
to
work.
The
same
MIS
case
study
then
added
the
following
theoretical
statement:
The
case
study
will also
show
why
the
simple
replacement
of
key
persons
was
not
sufficient
for
successful
implementation.
(Markus,
1983)
This
second
statement
presents
the
nutshell
of
a
rival
theory—that
is,
that
successful
MIS
implementation
mainly
calls
for
overcoming
individuals’
resistance
to
change
(and
not
any
organizational
restructuring),
leading
to
the
rival
theory
that
the
replacement
of
such
people
will
permit
implementation
to
succeed.
You
can
see
that
elaborating
these
two
initial
statements
can
help
to
shape
the
upcoming
case
study.
The
stated
ideas
will
increasingly
cover
the
questions,
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
propositions,
specifications
for
defining
and
bounding
the
case,
logic
connecting
data
to
propositions,
and
criteria
for
interpreting
the
findings—that
is,
the
five
components
of
the
needed
research
design.
In
this
sense,
the
research
design
can
come
to
embrace
a
“theory”
of
what
is
being
studied.
The
desired
theory
should
by
no
means
be
considered
with
the
formality
of
grand
theory
in
social
science.
Nor
are
you
being
asked
to
be
a
masterful
theoretician. Rather,
the
simple
goal
is
to
have
a
sufficient
blueprint
for
your
study,
usefully
noted
by
Sutton
and
Staw
(1995)
as
“a
[hypothetical]
story
about
why
acts,
events,
structure,
and
thoughts
occur”
(p.
378).
However,
you
also
should
be
prepared
to
heed
Diane
Vaughan’s
(1992)
wise
words
of
caution:
The
paradox
of
theory
is
that
at
the
same
time
it
tells
us
where
to
look,
it
can
keep
us
from
seeing.
(p.
195)
Your
theoretical
propositions
can
represent
key
issues
from
the
research
literature.
Alternatively,
they
can
represent
practical
matters,
such
as
differing
types
of
instructional
leadership
styles
or
interpersonal
relationships
in
a
study
of
families
and
social
groups.
Ultimately,
the
propositions
will
lead
to
a
complete
research
design—and
will
provide
surprisingly
explicit
ideas
for
determining
the
data
to
collect
and
the
strategies
for
analyzing
the
data.
For
this
reason,
some
theory
development
prior
to
the
collection
of
any
fieldwork
is
desirable.
Paul
Rosenbaum
notes
that,
for
nonexperimental
studies
more
generally,
the
preferred
theoretical
statements
should
elaborate
a
complex
pattern
of
expected
results—the
more
complex
the
better
(Rosenbaum,
2002,
pp.
5-6 and
277-279).
The
benefit
of
the
complexity
will
be
a
more
articulated
design
and
a
heightened
ability
to
interpret
your
eventual
data.
However,
theory
development
in
case
study
research
takes
time
and
can
be
difficult
(Eisenhardt,
1989;
Rule
&
John,
2015).
For
some
topics,
existing
works
may
provide
a
rich
theoretical
framework
for
designing
a
specific
case
study.
Alternatively,
if
you
desire
your
propositions
to
fill
mainly
descriptive
functions
(rather
than trying
to
do
an
explanatory
case
study),
your
concern
should
focus
on
such
issues
as
(a)
the
purpose
of
the
descriptive
effort,
(b)
the
full
but
realistic
range
of
topics
that
might
be
considered
a
“complete”
description
of
what
is
to
be
studied,
and
(c)
the
likely
topic(s)
that
will
be
the
essence
of
the
description.
Good
answers
to
these
questions,
including
the
rationales
underlying
the
answers,
will
help
you
go
a
long
way
toward
developing
the
needed
theoretical
base—and
research
design—for
your
study.
For
some
topics,
the
existing
knowledge
base
may
be
poor,
and
neither
the
available
literature
nor
the
prevailing
practical
experiences
will
provide
any
conceptual
ideas
or
hypotheses
of
note.
Such
a
knowledge
base
does
not
lend
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
itself
to
the
development
of
good
theoretical
statements,
and
you
should
not
be
surprised
if
your
new
study
ends
up
being
an
exploratory
study.
Nevertheless,
as
noted
earlier
with
the
illustrative
case
in
BOX
5,
even
an
exploratory
case
study
should
be
preceded
by
statements
about
what
is
to
be
explored,
the
purpose
of
the
exploration,
and
the
criteria
by
which
the
exploration
will
be
judged
successful
(or
not).
Overall,
you
may
want
to
gain
a
richer
understanding
of
how
theory
is
used
in
case
studies
by
reviewing
specific
case
studies
that
have
been
successfully
completed.
You
can
do
this
either
by
examining
the
completed
case
studies
for
their
initial
propositions
or,
as
a
more
daring
venture,
by
trying
to
understand
the
significance
of
the
case
study’s
findings
and
conclusions.
The
findings
and
conclusions
should
be
couched
within
some
theoretically
important
issues,
even
if
they
may
not
have
been
openly
stated
at
the
outset
of
the
case
study.
Ilustrative
Topics
for
Theories
In
general,
to
overcome
the
barriers
to
theory
development,
you
should
try
to
prepare
for
your
case
study
by
doing
such
things
as
reviewing
the
literature
related
to
what
you
would
like
to
study
(e.g.,
see
Cooper,
1984),
discussing
your
topic
and
ideas
with
colleagues
or
teachers,
and
asking
yourself
challenging
questions
about
what
you
are
studying,
why
you
are
proposing
to
do
the
study,
and
what
you
hope
to
learn
as
a
result
of
the
study.
As
a
further
reminder,
you
should
be
aware
of
the
full
range
of
theories
that
might
be
relevant
to
your
study.
For
instance,
note
that
the
earlier
MIS example
illustrated
MIS
“implementation”
theory
and
that
this
is
but
one
type
of
theory
that
can
be
the
subject
of
study.
Other
types
of
theories
for
you
to
consider
include
the
following:
e
Individual
theories—for
example,
theories
of
individual
development,
cognitive behavior,
personality,
learning
and
disability,
individual
perception,
and
interpersonal
interactions;
e
Group
theories—for
example,
theories
of
family
functioning,
informal
groups,
work
teams,
supervisory-employee
relations,
and
interpersonal
networks;
e
Organizational
theories—for
example,
theories
of
bureaucracies,
organizational
structure
and
functions,
excellence
in
organizational
performance,
and
interorganizational
partnerships;
and
e
Social
justice
theories—for
example,
theories
of
housing
segregation,
international
conflicts,
cultural
assimilation,
uneven
access
to
technologies,
and
marketplace
inequities.
Other
examples
cut
across
these
illustrative
types.
Decision-making
theory
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
(Carroll
&
Johnson,
1992),
for
instance,
can
involve
individuals,
organizations,
or
social
groups.
As
another
example,
a
common
topic
of
case
study
research
is
the
evaluation
of
publicly
supported
programs,
such
as
federal,
state,
or
local
programs.
In
this
situation,
the
development
of
a
theory
of
how
a
program
is
supposed
to
work
is
essential
to
the
design
of
the
evaluation.
In
this
situation,
Bickman
(1987)
reminds
us
that
the
theory
needs
to
distinguish
between
the
substance
of
the
program
(e.g.,
how
to
make
education
more
effective)
and
the
process
of
program
implementation
(e.g.,
how
to
install
an
effective
program).
The
distinction
would
avoid
situations
where
policy
makers
might
want
to
know
the
desired
substantive
remedies
(e.g.,
findings
about
a
newly
effective
curriculum)
but
where
an
evaluation
unfortunately
focused
on
managerial
issues
(e.g.,
the
need
to
hire
a
good
project
director).
Such
a
mismatch
can
be
avoided
by
giving
closer
attention
to
the
substantive
theory
of
interest.
Using
Theory
to
Generalize
From
Case
Studies
Besides
making
it
easier
to
design
your
case
study,
having
some
theory
or
theoretical
propositions
will
later
play
a
critical
role
in
helping you
to
generalize
the
lessons
learned
from
your
case
study.
This
role
of
theory
has
been
characterized
throughout
this
book
as
the
basis
for
analytic
generalization
and
has
been
contrasted
with
another
way
of
generalizing
the
results
from
empirical
studies,
known
as
statistical
generalization.
Understanding
the
distinction
between
these
two
types
of
generalization
may
be
your
most
notable
accomplishment
in
doing
case
study
research.
Let
us
first
take
the
more
commonly
recognized
way
of
generalizing—statistical
generalization—although
it
is
the
less
relevant
one
for
doing
case
study
research.
In
statistical
generalization,
an
inference
is
made
about
a
population
(or
universe)
on
the
basis
of
empirical
data
collected
from
a
sample
from
that
universe.
This
is
shown
graphically
as
a
Level
One
inference
in
Figure
2.2.1
This
method
of
generalizing
is
commonly
followed
when
doing
surveys
(e.g.,
Fowler,
2014;
Lavrakas,
1993)
or
analyzing
archival
data
such
as
in
studying
housing
or
employment
trends.
As
another
example,
political
polls
need
to
generalize
their
findings
beyond
their
sample
of
respondents
and
to
apply
to
the
larger
population,
and
research
investigators
readily
follow
statistical
procedures
to
determine
the
confidence
with
which
such
extrapolations
can
be
made.
A
fatal
flaw
in
doing
case
studies
is
to
consider
statistical
generalization
to
be the
way
of
generalizing
the
findings
from
your
case
study.
This
is
because
your
case
or
cases
are
not
“sampling
units”
and
also
will
be
too
few
in
number
to
serve
as
an
adequately
sized
sample
to
represent
any
larger
population.
Generalizing
from
the
case
study,
not
from
the
case(s).
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Rather
than
thinking
about your
case(s)
as
a
sample,
you
should
think
of
your
case
study
as
the
opportunity
to
shed
empirical
light
on
some
theoretical
concepts
or
principles.
The
goal
is
not
unlike
the
motive
of
a
laboratory
investigator
in
conducting
and
then
learning
from
a
new
experiment.
In
this
sense,
both
a
case
study
and
an
experiment
have
an
interest
in
going
beyond
the
specific
case
or
experiment.
Both
kinds
of
studies
are
likely
to
strive
for
generalizable
findings
or
lessons
learned—that
is,
analytic
generalizations—that
go
beyond
the
setting
for
the
specific
case
or
experiment
that
had
been
studied.
(Also
see
Tutorial
2.1
on
the
companion
website
at
study.sagepub.com/yin6e
for
more
detail
about defining
“analytic
generalization.”)
For
example,
the
lessons
learned
could
assume
the
form
of
a
working
hypothesis
(Cronbach,
1975),
either
to
be
applied
in
reinterpreting
the
results
of
existing
studies
of
other
concrete
situations
(i.e.,
other
case
studies
or
experiments)
or
to
define
new
research
focusing
on
yet
additional
concrete
situations
(i.e.,
new
case
studies
or
experiments).
Note
that
the
aim
of
an
analytic
generalization
is
still to
generalize
to
these other
concrete
situations
and
not
just
to
contribute
to
abstract
theory
building.
Also
note
that
the
generalizations,
principles,
or
lessons
learned
from
a
case
study
may
potentially
apply
to
a
variety
of
situations,
well
beyond
any
strict
definition
of
the
hypothetical
population
of
“like
cases”
represented
by
the
original
case
(Bennett,
2010).
The
theory
or
theoretical
propositions
that
went
into
the
initial
design
of
your
case
study,
as
empirically
enhanced
by
your
case
study’s
findings,
will
have
formed
the
groundwork
for
your
analytic
generalization(s).
Alternatively,
a
new
generalization
may
emerge
from
the
case
study’s
findings
alone.
In
other
words,
the
analytic
generalization
may
be
based
on
either
(a)
corroborating,
modifying,
rejecting,
or
otherwise
advancing
theoretical
concepts
that
you
referenced
in
designing
your
case
study
or (b)
new
concepts
that
arose
upon
the
completion
of
your
case
study.
The
important
point
is
that,
regardless
of
whether
the
generalization
was
derived
from
the
conditions
you
specified
at
the
outset
or
uncovered
at
the
conclusion
of
your
case
study,
the
generalization
will be
at
a
conceptual
level
higher
than
that
of
the
specific
case
(or
the
subjects
participating
in
an
experiment?)—shown
graphically
as
a
Level
Two
inference
in
Figure
2.2.
By
moving
to
this
higher
conceptual
level,
also
realize
that
you
need
to
make
an
analytic
generalization
as
a
claim, by
providing
a
supportive
argument.
Your
experience
will
be
far
different
from
simply
applying
the
numeric
result
emanating
from
the
use
of
some
formulaic
procedure,
as
in
making
statistical
generalizations.
However,
the
implications
for
your
analytic
generalization
can
lead
to
greater
insight
about
the
“how”
and
“why”
questions
that
you
posed
at
the
outset
of
your
case
study.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Figure
2.2
Making
Inferences:
Two
Levels
Level
Two
Level
One
Theory
Rival
theory
Policy
Rival
policy
implication
implication
T
K
X
X
Survey
:
Case
study
Exp-rincntz
Population
Case
study
Experimental
characteristics
findings
findings
Sample
Subjects
Ilustrative
examples.
Several
prominent
case
studies
illustrate
how
analytic
generalizations
can
use
a
case
study’s
findings
to
implicate
new
situations.
First,
consider
how
the
two
initial
case
studies
highlighted
in
BOXES
1
and
2A
of
Chapter
1
of
this
book
treated
the
generalizing
function:
BOX
1:
Allison’s
(1971)
case
is
about
the
Cuban
missile
crisis,
but
he
relates
the
three
theoretical
models
from
his
case
study
to
many
other
situations,
first
to
other
international
confrontations,
such
as
between
the
United
States
and
North
Vietnam
in
the
1960s
(p.
258).
The
later
edition
of
his
case
study
(Allison
&
Zelikow,
1999)
then
discusses
the
models’
relevance
to
the
“rethinking
of
nuclear
threats
to
Americans
today”
(p.
397)
as
well
as
to
the
broader
challenge
of
inferring
the
motives
underlying
actions
taken
by
a
foreign
power.
BOX
2A:
Whyte’s
study
(1943/1993)
is
well
known
for
uncovering
the
relationship
between
individual
performance
and
group
structure,
highlighted
by
a
bowling
tournament
where
he
directly
experienced
the
impact
on
his
own
performance
(“as
if
something
larger
than
myself
was
controlling
the
ball”—
p.
319)
and
observed
how
the
gang
members’
bowling
scores,
with
one
notable
exception,
emulated
their
standing
in
the
gang.
Whyte
generalizes
his
findings
by
later
commenting
that
“I
believed
then
(and
still
believe
now)
that
this
sort
of
relationship
may
be
observed
in
other
group
activities
everywhere”
(p.
319).
Second,
BOX
7
contains
four
additional
illustrations.
All
show
how
findings
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
from
a
single-case
study
nevertheless
can
be
generalized
to
a
broad
variety
of
other
situations.
The
fourth
of
these case
studies
has
one
other
notable
feature:
It
demonstrates
how
an
entire
case
study
can
be
published
as
a
journal
article
(the
first
three
examples
appeared
in
the
form
of
rather
lengthy
books).
Analytic
generalization
can
be
used
whether
your
case
study
involves
one
or
several
cases,
which
shall
be
later
referenced
as
single-case
or
multiple-case
studies.
Also
to
come
later
in
this
chapter,
the
discussion
under
the
topic
of
external
validity
adds
a
further insight
about
making
analytic
generalizations.
The
main
point
at
this
juncture
is
that
you
should
try
to
aim
toward
analytic
generalizations
in
doing
case
studies,
and
you
should
avoid
thinking
in
such
confusing
terms
as
“the
sample
of
cases”
or
the
“small
sample
size
of
cases,”
as
if
a
single-
or
multiple-case
study
were
equivalent
to
respondents
in
a
survey.
In
other
words,
again
as
graphically
depicted
in
Figure
2.2,
you
should
aim
for
Level
Two
inferences
when
generalizing
from
case
studies.
In
a
like
manner,
even
referring
to
your
case
or
cases
as
a
“purposive
sample”
may
raise
similar
conceptual
and
terminological
problems.
You
may
have
intended
to
convey
that
the
“purposive”
portion
of
the
term
reflects
your
selection
of
a
case
that
will
illuminate
the
theoretical
propositions
of
your
case
study.
However,
your
use
of
the
“sample”
portion
of
the
term
still
risks
misleading
others
into
thinking
that
the
case
comes
from
some
larger
universe
or
population
of
like
cases,
undesirably
reigniting
the
specter
of
statistical
generalization.
The
most
desirable
posture
may
be
to
state
a
clear
caveat
if
you
have
to
refer
to
any
kind
of
sample
(purposive
or
otherwise). (The preferred
criteria
and
terminology
for
selecting
cases,
as
part
of
either
a
single-
or
a
multiple-case
study,
are
discussed
later
in
this
chapter
under
the
topic
of
“case
study
designs.”)
In
this
sense, case
study
research
directly
parallels
experimental
research:
Few
if
any
people
would
consider
that
a
new
experiment
should
be
designed
as
a
sample
(of
any
kind)
from
a
larger
population
of
like
experiments
—and
few
would
consider
that
the
main
way
of
generalizing
the
findings
from
a
single
experiment
would
be
in
reference
to
a
population
of
like
experiments.
Box
7
Generalizing
From
Single-Case
Studies:
Four
More
Examples
i
7A.
A
Sociology
of
“Mistake”
The
tragic
loss
of
the
space
shuttle
Challenger
in
1986,
vividly
shown
in
repeated
TV
replays
of
the
spaceship’s
final
seconds,
certainly
qualifies
as
a
unique
case.
The
causes
of
this
loss
became
the
subject
of
a
Presidential
Commission
and
of
a
case
study
by
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Diane
Vaughan
(2016).
Vaughan’s
detailed
study
shows
how
the
social
structure
of
an
organization
(the
NASA
space
agency)
had,
over
time,
transformed
deviance
into
acceptable
and
routine
behavior.
Vaughan’s
ultimate
explanation
differs
markedly
from
that
of
the
Presidential
Commission,
which
pointed
to
individual
errors
by
middle
managers
as
the
main
reasons
for
failure.
In
Vaughan’s
words,
her
study
“explicates
the
sociology
of
mistake”—that
“mistakes
are
systemic
and
socially
organized,
built
into
the
nature
of
professions,
organizations,
cultures,
and
structures.”
She
shows
how
deviance
is
transformed
into
acceptable
behavior
through
the
institutionalization
of
production
pressures
(originating
in
the
organizational
environment),
leading
to
“nuanced,
unacknowledged,
pervasive
effects
on
decisionmaking.”
Her
final
discussion
applies
this
generalization
to
a
diverse
array
of
other
situations.
As
examples,
she
cites
studies
showing
the
research
distortions
created
by
the
worldview
of
scientists,
the
uncoupling
of
intimate
relationships,
and
the
inevitability
of
accidents
in
certain
technological
systems.
All
these
illustrate
the
process
of
making
analytic
generalizations.
7B.
The
Origins
of
Social
Class
The
second
example
(which
comes
from
Application
3)
is
about
the
uncovering
and
labeling
of
a
social
class
structure
based
on
a
case
study
of
a
medium-sized
American
city,
Yankee
City
(Warner
&
Lunt,
1941).
This
classic
case
study
in
sociology
made
a
critical
contribution
to
social
stratification
theory
and
an
understanding
of
the
social
differences
among
“upper,”
“upper-middle,”
“middle-
middle,”
“upper-lower,”
and
“lower”
classes.
Over
the
years,
the
insights
from
these
differences
have
applied
to
a
broad
range
of
social
structures,
by
no
means
limited
to
other
medium-sized
cities
(or
even
to
cities).
7C.
Contribution
to
Urban
Planning
The
third
example
is
Jane
Jacobs
and
her
famous
book,
The
Death
and
Life
of
Great
American
Cities
(1961).
The
book
is
based
mostly
on
experiences
from
a
single-case,
New
York
City.
The
book’s
chapters
then
show
how
these
New
York
experiences
can
be
used
to
develop
broader
theoretical
principles
in
urban
planning,
such
as
the
role
of
sidewalks,
the
role
of
neighborhood
parks,
the
need
for
primary
mixed
uses,
the
need
for
small
blocks,
and
the
processes
of
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
slumming
and
unslumming.
Jacobs’s
book
created
heated
controversy
in
the
planning
profession.
New
empirical
inquiries
were
made
about
one
or
another
of
her
rich
and
provocative
ideas.
These
inquiries
helped
to
test
the
broader
applicability
of
her
principles
to
other
concrete
settings,
and
in
this
way
Jacobs’s
work
still
stands
as
a
significant
contribution
in
the
field
of
urban
planning.
7D.
Government
Management
of
“Spoiled”
National
Identity
The
fourth
example
creatively
extended
Erving
Goffman’s
well-
known
sociological
theory,
regarding
the
management
of
stigma
by
individual
people,
to
an
institutional
level
(Rivera,
2008).
A
field-
based
case
study
of
Croatia
showed
how
the
stigma
created
by
the
wars
of
Yugoslav
secession
had
demolished
the
country’s
image
as
a
desirable
tourist
destination,
but
then
how
the
country
successfully
used
an
impression
management
strategy
to
revive
the
tourism.
Croatia
thus
presented
“an
exciting
case
of
reputation
management
in
action”
(p.
618).
The
author
suggests
that
her
adapted
theoretical
model
can
be
used
as
“a
launching
point
for
understanding
the
public
representation
dilemmas
faced
by
other
states
and
organizational
actors
that
have
undergone
reputation-damaging
events”
(p.
615).
In
so
doing,
the
case
study
has
provided
another
illustration
of
analytic
generalization.
The
challenge
of
making
analytic
generalizations
involves
understanding
that
the
generalization
is
not
statistical
(or
numeric)
and
that
you
will
be
making
an
argumentative
claim.
In
so
doing,
you
need
to
give
explicit
attention
to
the
potential
flaws
in
your
claims
and
therefore
discuss
your
analytic
generalizations,
not
just
state
them.
And
to
repeat
an
earlier
point,
remember
that
you
are
generalizing
from
your
case
study,
not
from
your
case(s).2
Summary
This
section
has
suggested
that
a
complete
research
design,
while
including
the
five
components
previously
described,
will
benefit
from
the
development
of
theoretical
propositions. A
good
case
study
researcher
should pursue
such
propositions
and
take
advantage
of
this
benefit,
whether
the
case
study
is
to
be
exploratory,
descriptive,
or
explanatory.
The
use
of
theory
and
theoretical
propositions
in
doing
case
studies
can
be an
immense
aid
in
defining
the
appropriate
research
design
and
data
to
be
collected.
Equally
important,
the
same
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
theoretical
orientation
also
will
become
the
main
vehicle
for
generalizing
the
findings
from
the
case
study.
Criteria
For
Judging
The
Quality
Of
Research
Designs
Because
a
research
design
is
supposed
to
represent
a
logical
set
of
statements,
you
also
can
judge
the
quality
of
any
given
design
according
to
certain logical
tests.
Four
tests
have
been
commonly
used
to
establish
the
quality
of
most
empirical
social
research.
Because
case
study
research
is
part
of
this
larger
body,
the
four
tests
also
are
relevant
to
case
study
research.
An
important
innovation
of
this
book
is
the
identification
of
several
tactics
for
dealing
with
these
four
tests
when
doing
case
study
research.
Figure
2.3
lists
the
tests
and
the
recommended
tactics,
as
well
as
a
cross-reference
to
the
phase
of
research
when
the
tactic
is
to
be
used.
(Each
tactic
is
described
in
detail
in
the
chapter
of
this
book
referenced
in
Figure
2.3.)
Because
the
four
tests are
common
to
most
social
science
methods,
the
tests
have
been
summarized
in
numerous
textbooks
(e.g.,
see
Kidder
&
Judd,
1986,
pp.
26—
29).
The
tests
also
have
served
as
a
framework
for
assessing
a
large
group
of
case
studies
in
the
field
of
strategic
management
(Gibbert
et
al.,
2008).
The
four
tests
are
e
Construct
validity:
identifying
correct
operational
measures
for
the
concepts
being
studied
o
Internal
validity
(for
explanatory
or
causal
studies
only
and
not
for
descriptive
or
exploratory
studies):
seeking
to
establish
a
causal
relationship,
whereby
certain
conditions
are
believed
to
lead
to
other
conditions,
as
distinguished
from
spurious
relationships
o
External
validity:
showing
whether
and
how
a
case
study’s
findings
can
be
generalized
o
Reliability:
demonstrating
that
the
operations
of
a
study—such
as
its
data
collection
procedures—can
be
repeated,
with
the
same
results
Figure
2.3
Case
Study
Tactics
for
Four
Design
Tests
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Construct
o
use
multiple
sources
of
evidence
data
collection
validity
o
have
key
informants
review
draft
(see
Chap.
4)
case
study
report
composition
(see
Chap.
6)
Internal
¢
do
pattern
matching
data
analysis
(see
Chap.
5)
validity
*
do
explanation
building
data
analysis
(see
Chap.
5)
o
address
rival
explanations
data
analysis
(see
Chap.
5)
o
use
logic
models
data
analysis
(see
Chap.
5)
External
o
use
theory
in
single-case
studies
research
design
validity
o
use
replication
logic
in
multiple-case
studies
(see
Chap.
2)
research
design
(see
Chap.
2)
Reliability
|
e
use
case
study
protocol
data
collection
o
develop
case
study
database
(see
Chap.
3)
*
maintain
a
chain
of
evidence
data
collection
(see
Chap.
4)
data
collection
(see
Chap.
4)
Each
item
on
this
list
deserves
explicit
attention.
For
case
study research,
an
important
revelation
is
that
the
several
tactics
to
be
used
in
dealing
with
these
tests
should
be
applied
throughout
the
subsequent
conduct
of
a
case
study,
not
just
at
its
beginning.
Thus,
the
“design
work”
for
doing
case
studies
may
actually
continue
beyond
the
initial
design
plans.
Construct
Validity
This
first
test
is
especially
challenging
in
case
study
research.
People
who
have
been
critical
of
case
studies
often
point
to
the
fact
that
a
case
study
researcher
fails
to
develop
a
sufficiently
operational
set
of
measures
and
that
“subjective”
judgments—ones
tending
to
confirm
a
researcher’s
preconceived
notions
(Flyvbjerg,
2006;
Ruddin,
2006)—are
used
to
collect
the
data.?
Take
an
example
such
as
studying
“neighborhood
change”—a
common
case
study
topic
(e.g.,
Bradshaw,
1999;
Keating
&
Krumholz,
1999):
Over
the
years,
concerns
have
arisen
over
how
certain
urban
neighborhoods
have
changed
their
character.
Any
number
of
case
studies
have
examined
the
types
of
changes
and
their
consequences.
However,
without
any
prior
specification
of
the
significant,
operational
events
that
constitute
“change,”
a
reader
cannot
tell
whether
the
claimed
changes
in
a
case
study
genuinely
reflect
the
events
in
a
neighborhood
or
whether
they
happen
to
be
based
on
a
researcher’s
impressions
only.
Neighborhood
change
can
cover
a
wide
variety
of
phenomena:
racial
turnover,
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
housing
deterioration
and
abandonment,
changes
in
the
pattern
of
urban
services,
shifts
in
a
neighborhood’s
economic
institutions,
or
the
turnover
from
low-
to
middle-income
residents
in
revitalizing
neighborhoods.
The
choice
of
whether
to
aggregate
blocks,
census
tracts,
or
larger
areas
also
can
produce
different
results
(Hipp,
2007).
To
meet
the
test of
construct
validity,
an
investigator
must
be
sure
to
cover two
steps:
1.
Define
neighborhood
change
in
terms
of
specific
concepts
(and
relate
them
to
the
original
objectives
of
the
study)
and
2.
Identify
operational
measures
that
match
the
concepts
(preferably
citing
published
studies
that
make
the
same
matches).
For
example, suppose
you
satisfy
the
first
step
by
stating
that
you
plan
to
study
neighborhood
change
by
focusing
on
trends
in
neighborhood
crime.
The
second
step
now
demands
that
you
select
a
specific
measure,
such
as
police-reported
crime
(which
happens
to
be
the
standard
measure
used
in
the
FBI
Uniform
Crime
Reports)
as
your
measure
of
crime.
The
literature
will
indicate
certain
known
shortcomings
in
this
measure,
mainly
that
unknown
proportions
of
crimes
are
not
reported
to
the
police.
You
will
then
need
to
discuss
how
the
shortcomings
nevertheless
will
not
bias
your
study
of
neighborhood
crime
and
hence
neighborhood
change.
As
previously
shown
in
Figure
2.3,
three
tactics
are
available
to
increase
construct
validity
when
doing
case
studies.
The
first
is
the
use
of
multiple
sources
of
evidence,
in
a
manner
encouraging
convergent
lines
of
inquiry,
and
this
tactic
is
relevant
during
data
collection
(see
Chapter
4).
A
second
tactic
is
to
establish
a
chain
of
evidence,
also
relevant
during
data
collection
(also
Chapter
4).
The
third
tactic
is
to
have
the
draft
case
study
report
reviewed
by
key
informants
(a
procedure
described
further
in
Chapter
6).
Internal
Validity
This
second
test
has
been
given
the
greatest
attention
in
experimental
and
quasi-
experimental
research
(see
Campbell
&
Stanley,
1966;
Cook
&
Campbell,
1979).
Numerous
“threats”
to
internal
validity
have
been
identified,
mainly
dealing
with
spurious
effects.
Because
so
many
textbooks
already
cover
this
topic,
only
two
points
need
to
be
made
here.
First,
internal
validity
is
mainly
a
concern
for
explanatory
case
studies,
when
an
investigator
is
trying
to
explain
how
and
why
event
x
led
to
event
y.
If
the
investigator
incorrectly
concludes
that
there
is
a
causal
relationship
between
x
and
y
without
knowing
that
some
third
event—z—may
actually
have
caused
y,
the
research
design
has
failed
to
deal
with
some
threat
to
internal
validity.
Note
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Recommended textbooks for you
Case Studies In Health Information Management
Biology
ISBN:9781337676908
Author:SCHNERING
Publisher:Cengage
Essentials Health Info Management Principles/Prac...
Health & Nutrition
ISBN:9780357191651
Author:Bowie
Publisher:Cengage
Human Heredity: Principles and Issues (MindTap Co...
Biology
ISBN:9781305251052
Author:Michael Cummings
Publisher:Cengage Learning
Recommended textbooks for you
- Case Studies In Health Information ManagementBiologyISBN:9781337676908Author:SCHNERINGPublisher:CengageEssentials Health Info Management Principles/Prac...Health & NutritionISBN:9780357191651Author:BowiePublisher:Cengage
- Human Heredity: Principles and Issues (MindTap Co...BiologyISBN:9781305251052Author:Michael CummingsPublisher:Cengage Learning
Case Studies In Health Information Management
Biology
ISBN:9781337676908
Author:SCHNERING
Publisher:Cengage
Essentials Health Info Management Principles/Prac...
Health & Nutrition
ISBN:9780357191651
Author:Bowie
Publisher:Cengage
Human Heredity: Principles and Issues (MindTap Co...
Biology
ISBN:9781305251052
Author:Michael Cummings
Publisher:Cengage Learning