What type of analysis is this - give the most descriptive answer possible? should the researcher interpret the post hoc test for any of the findings (why or why not -- explain your answer.

Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
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I need help with these two questions.
Based the output provide a research hypothesis for one
significant main effect. Assuming the Box test was significant.
ogy
Effect
Intercept Pillai's Trace
Wilks'
Lambda
satjob
sex
Hotelling's
Trace
satjob
sex
Roy's Largest
Root
Pillai's Trace
Wilks'
Lambda
Hotelling's
Value
Trace
Roy's Largest
Root
Pillai's Trace
Wilks'
Lambda
Hotelling's
Trace
0.92 4042.110(a)
Roy's Largest
Root
Hotelling's
Trace
0.08 4042.110(a)
Pillai's Trace
Wilks'
Lambda
12 4042 110(a)
12 4042 110(a)
0.04 3.967
0.97
0.04
Roy's Largest
Root
0.03
F
0.02
0.02
0.02
0.01
3.984(a)
0.98 8.135(a)
0.01
4.002
7.291(b)
8.135(a)
8.135(a)
8.135(a)
0.75
0.99 749(a)
0.748
Hypothesis
df
0.01 1.051(b)
2 672 0
2 672
2 672
2
6
3
2
Error df
6
1346 0.07
6 1344 0.06
2
6
6
2 672
6
2 672
3
672 0
1342 0.05
673 0.07
672
Sig.
672
1346 0.61
1342 0.61
673 0.37
1344 0.61
0
0
0
0
0
0
Partial Eta
Squared
0.923
0.522
0.454
0.355
0.923
0.923
0.923
0.12
0.024
0.024
0.024
0.024
0.003
0.005
0.003
0.003
Transcribed Image Text:Based the output provide a research hypothesis for one significant main effect. Assuming the Box test was significant. ogy Effect Intercept Pillai's Trace Wilks' Lambda satjob sex Hotelling's Trace satjob sex Roy's Largest Root Pillai's Trace Wilks' Lambda Hotelling's Value Trace Roy's Largest Root Pillai's Trace Wilks' Lambda Hotelling's Trace 0.92 4042.110(a) Roy's Largest Root Hotelling's Trace 0.08 4042.110(a) Pillai's Trace Wilks' Lambda 12 4042 110(a) 12 4042 110(a) 0.04 3.967 0.97 0.04 Roy's Largest Root 0.03 F 0.02 0.02 0.02 0.01 3.984(a) 0.98 8.135(a) 0.01 4.002 7.291(b) 8.135(a) 8.135(a) 8.135(a) 0.75 0.99 749(a) 0.748 Hypothesis df 0.01 1.051(b) 2 672 0 2 672 2 672 2 6 3 2 Error df 6 1346 0.07 6 1344 0.06 2 6 6 2 672 6 2 672 3 672 0 1342 0.05 673 0.07 672 Sig. 672 1346 0.61 1342 0.61 673 0.37 1344 0.61 0 0 0 0 0 0 Partial Eta Squared 0.923 0.522 0.454 0.355 0.923 0.923 0.923 0.12 0.024 0.024 0.024 0.024 0.003 0.005 0.003 0.003
Tests of Between-Subjects Effects
Dependent Variable: hrs2
Source
Corrected Model
Intercept
agecat4
wifeft
satjob2
agecat4 wifeft
Squares
3285.140 15
219.009
675865.18 1 675865.18
46.527 3
15.509
1471.001 1
1471.001
17.408 1
17.408
435.685 3
145.228
297.237 3
99.079
7.744 1
7.744
675.067 3 225.022
47120.71 411
114.649
1000146 427
Corrected Total
50405.85 426
a. R Squared = .065 (Adjusted R Squared = .031)
agecat4* satjob2
wifeft* satjob2
Type III
Sum of
agecat4* wifeft
satjob2
Error
Total
df
Mean
Square
F
Sig.
5895.09
1.91 0.02
0
0.135 0.94
12.83
0
0.152
0.7
1.267 0.29
0.864 0.46
0.068 0.8
1.963 0.12
What type of analysis is this - give the most descriptive answer
possible? should the researcher interpret the post hoc test for any
of the findings (why or why not -- explain your answer.
Transcribed Image Text:Tests of Between-Subjects Effects Dependent Variable: hrs2 Source Corrected Model Intercept agecat4 wifeft satjob2 agecat4 wifeft Squares 3285.140 15 219.009 675865.18 1 675865.18 46.527 3 15.509 1471.001 1 1471.001 17.408 1 17.408 435.685 3 145.228 297.237 3 99.079 7.744 1 7.744 675.067 3 225.022 47120.71 411 114.649 1000146 427 Corrected Total 50405.85 426 a. R Squared = .065 (Adjusted R Squared = .031) agecat4* satjob2 wifeft* satjob2 Type III Sum of agecat4* wifeft satjob2 Error Total df Mean Square F Sig. 5895.09 1.91 0.02 0 0.135 0.94 12.83 0 0.152 0.7 1.267 0.29 0.864 0.46 0.068 0.8 1.963 0.12 What type of analysis is this - give the most descriptive answer possible? should the researcher interpret the post hoc test for any of the findings (why or why not -- explain your answer.
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