|
|
 |
| EFA Factor Model Improvement |
 
|
| Message/Author |
|
|
| Nadra Lisha posted on Thursday, August 10, 2017 - 9:41 am
|
|
|
In the "Models Compared" section the chi-square indicates that there is no improvement from 2 vs. 3-factors, but does for 3 vs 4 factors. Usually the p-values are significant, then not, but these bounce back and forth. How should I interpret this? Thanks!
Models Compared Chi-Square Freedom P-Value
1-factor against 2-factor 60.439 11 0.0000
2-factor against 3-factor 16.875 10 0.0772
3-factor against 4-factor 19.523 9 0.0211 |
|
|
|
|
| When getting ambiguous results like this, I would use the regular test (against the unrestricted H1) for 2-f, 3-f, 4-f etc. |
|
|
| Nadra Lisha posted on Friday, August 11, 2017 - 9:39 am
|
|
|
| Thanks! How do I ask for that test? |
|
|
|
|
| That's the regular chi-square that we report. |
|
|
| Back to top |
|
|
