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

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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