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
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 |
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a The twofactor solution has empirical support as only two factors using the unreduced correlation m... View full answer

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