earch Art Create an empirical, directional research hypothesis. So in other words, a statement of prediction about the relationship between two variables (topics). о The hypothesis should be clearly relational OR causal Relational (e.g. "I predict that...is associated with/related to...") o OR predict a causal relationship (e.g. "I predict that...leads to/causes..."). It must also identify the levels of the variables (called "directional") If relational hypothesis, ALL variables will be measured among ALL participants, identifying a positive or negative relationship " Positive Relation example (variables go in the "same" direction, high or low): "I predict that high levels of professional achievement will be associated with high levels of self-esteem." Negative Relation example (variables go in "opposite" directions from each other): "I predict that high levels of professional achievement will be associated with low levels of anxiety." If causal it should include a prediction about different conditions having different levels/amounts of some variable " Conditions compared Between Groups (Between Groups Design): "/ predict that an experimental group given chocolate to eat will report greater feelings of happiness than a control group given celery to eat." Conditions compared Within same participant (Within Subjects Design): "I predict study participants will report will report greater feelings of happiness when they are given chocolate to eat, than when they are given celery to eat.") See the class notes for more details about hypotheses. F7 & 7 U F8 *8 8 B F9 *- F10 F11 ( 9 0 *+ F12 L PrtSc Insert Delete +11 O P ( } [ 1 Backspace Num Lock 144 7 Home
earch Art Create an empirical, directional research hypothesis. So in other words, a statement of prediction about the relationship between two variables (topics). о The hypothesis should be clearly relational OR causal Relational (e.g. "I predict that...is associated with/related to...") o OR predict a causal relationship (e.g. "I predict that...leads to/causes..."). It must also identify the levels of the variables (called "directional") If relational hypothesis, ALL variables will be measured among ALL participants, identifying a positive or negative relationship " Positive Relation example (variables go in the "same" direction, high or low): "I predict that high levels of professional achievement will be associated with high levels of self-esteem." Negative Relation example (variables go in "opposite" directions from each other): "I predict that high levels of professional achievement will be associated with low levels of anxiety." If causal it should include a prediction about different conditions having different levels/amounts of some variable " Conditions compared Between Groups (Between Groups Design): "/ predict that an experimental group given chocolate to eat will report greater feelings of happiness than a control group given celery to eat." Conditions compared Within same participant (Within Subjects Design): "I predict study participants will report will report greater feelings of happiness when they are given chocolate to eat, than when they are given celery to eat.") See the class notes for more details about hypotheses. F7 & 7 U F8 *8 8 B F9 *- F10 F11 ( 9 0 *+ F12 L PrtSc Insert Delete +11 O P ( } [ 1 Backspace Num Lock 144 7 Home
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Empirical directional hypothesis
Would Study time and exam scores be relational or causal? How can we make a prediction about whether it's relational or causal? Is it a Positive or negative relationship?
Transcribed Image Text:earch
Art
Create an empirical, directional research hypothesis. So in other
words, a statement of prediction about the relationship between two variables (topics).
о
The hypothesis should be clearly relational OR causal
Relational (e.g. "I predict that...is associated with/related to...")
o OR predict a causal relationship (e.g. "I predict that...leads to/causes...").
It must also identify the levels of the variables (called "directional")
If relational hypothesis, ALL variables will be measured among ALL
participants, identifying a positive or negative relationship
"
Positive Relation example (variables go in the "same" direction, high or
low): "I predict that high levels of professional achievement will be
associated with high levels of self-esteem."
Negative Relation example (variables go in "opposite" directions from
each other): "I predict that high levels of professional achievement will be
associated with low levels of anxiety."
If causal it should include a prediction about different conditions having
different levels/amounts of some variable
"
Conditions compared Between Groups (Between Groups Design): "/
predict that an experimental group given chocolate to eat will report
greater feelings of happiness than a control group given celery to eat."
Conditions compared Within same participant (Within Subjects Design):
"I predict study participants will report will report greater feelings of
happiness when they are given chocolate to eat, than when they are given
celery to eat.")
See the class notes for more details about hypotheses.
F7
&
7
U
F8
*8
8
B
F9
*-
F10
F11
(
9
0
*+
F12
L
PrtSc
Insert
Delete
+11
O
P
(
}
[
1
Backspace
Num
Lock
144
7
Home
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