Run an exploratory factor analysis using principal axis extraction using the correlations shown below using the first
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Question:
Run an exploratory factor analysis using principal axis extraction using the correlations shown below using the first nine items (exclude the bodily symptom items). Run a two- and three-factor solution for the remaining nine items.
Which solution(s) have empirical support?
Which solution seems more conceptually meaningful?
Items Correlations for the Reactions-to-Tests Scales | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Ten1 | 1.000 | | | | | | | | | | | |
Ten2 | .657 | 1.000 | | | | | | | | | | |
Ten3 | .652 | .660 | 1.000 | | | | | | | | | |
Wor1 | .279 | .338 | .300 | 1.000 | | | | | | | | |
Wor2 | .290 | .330 | .350 | .644 | 1.000 | | | | | | | |
Wor3 | .358 | .462 | .440 | .659 | .566 | 1.000 | | | | | | |
Tirt1 | .076 | .093 | .120 | .317 | .313 | .367 | 1.000 | | | | | |
Tirt2 | .003 | .035 | .097 | .308 | .305 | .329 | .612 | 1.000 | | | | |
Tirt3 | .026 | .100 | .097 | .305 | .339 | .313 | .674 | .695 | 1.000 | | | |
Body1 | .287 | .312 | .459 | .271 | .307 | .351 | .122 | .137 | .185 | 1.000 | | |
Body2 | .355 | .377 | .489 | .261 | .277 | .369 | .196 | .191 | .197 | .367 | 1.000 | |
Body3 | .441 | .414 | .522 | .320 | .275 | .383 | .170 | .156 | .101 | .460 | .476 | 1.000 |
Related Book For
Value at Risk The New Benchmark for Managing Financial Risk
ISBN: 978-0071464956
3rd edition
Authors: Philippe Jorion
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