Probability Sampling Methods In each set, mc ✓ [ Choose ] example. Simple random sampling Subgroups within the population are identified as sharing some characteristic, and elements are randomly Systematic ran sampling selected from within those subgroups. Cluster samplir Elements are selected by choosing every nth element on the sampling Stratified randc frame after a random sampling starting point.

Social Psychology (10th Edition)
10th Edition
ISBN:9780134641287
Author:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers
Publisher:Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers
Chapter1: Introducing Social Psychology
Section: Chapter Questions
Problem 1RQ1
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Probability Sampling Methods
In each set, mc
example.
Simple random
sampling
✓ [ Choose ]
Subgroups within the
population are identified
as sharing some
characteristic, and
elements are randomly
Systematic ran
sampling
selected from within those
subgroups.
Cluster samplir
Elements are selected by
choosing every nth
element on the sampling
Stratified randc
frame after a random
sampling
□ Question
The variable f
long a particu
with O being t
measured at th
starting point.
Groups are randomly
selected, and then
elements are randomly
selected from those
groups.
Elements are selected by
use of a random number
table.
Transcribed Image Text:Probability Sampling Methods In each set, mc example. Simple random sampling ✓ [ Choose ] Subgroups within the population are identified as sharing some characteristic, and elements are randomly Systematic ran sampling selected from within those subgroups. Cluster samplir Elements are selected by choosing every nth element on the sampling Stratified randc frame after a random sampling □ Question The variable f long a particu with O being t measured at th starting point. Groups are randomly selected, and then elements are randomly selected from those groups. Elements are selected by use of a random number table.
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