In sci.stat.consult gillian <[EMAIL PROTECTED]> wrote: : Hi, : I am using AMOS Basic to fit a One-facor and Two-factor exploratory : factor analysis model to some data. I got the result below:
: 1-facotr analysis - Chi-square: 89.286, degree-of-freedom: 35 with P : value nearly 0. : 2-factor analysis - Chi-square: 30.177, degree-of-freedom: 26 with P : value 0.260. : Would someone lighten me on the question below please: : "Use appriopriate significance test to assess whether fitted models : provide a good fit for the data." : How to do significance test for this case. Could I just mention that : based on the result obtained, two-factor model fits better without : doing further significance test? : You help is greatly appreciated. : Thanks The way the questions are worded makes it appear that this is some sort of coursework assignment. My apologies if it is not. You may find that folks here are reluctant to dispense direct answers to such queries, but are usually willing to offer hints that will help you understand how to arrive at your answer on your own. In the case above, you might start with stating what the null (and alternative) hypothesis is with respect to the _formal_ comparison of the two models. Just as in the case of comparing, say, two regression slopes, merely looking at the individual p-values for each model fit isn't usually considered sufficient to conclude that they are "different" (i.e, beyond sampling error). (In this case, you also need to be sure that the two models are nested.) Mike Babyak -- _________________________________________________________________ Michael A. Babyak, PhD (919) 684-8843 (Voice) Box 3119 Department of Psychiatry Duke University Medical Center Durham, NC 27710 _________________________________________________________________ In Flumine Stercoris Noli Undas Facere _________________________________________________________________ . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
