Table 1.
Proportion of Sample Data Sets in which T-PA and R-PA Underestimated, Correctly Estimated, and Overestimated the Number of Factors for Generation Models With Zero or One Factor.
|
NO = 200 |
NO = 400 |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T-PA |
R-PA |
T-PA |
R-PA |
||||||||||
| Thresholds | λ | Hits | Under | Over | Hits | Under | Over | Hits | Under | Over | Hits | Under | Over |
| Zero-factor model | |||||||||||||
| Same | — | .947 | — | .053 | .947 | — | .053 | .941 | — | .059 | .941 | — | .059 |
| Different | — | .959 | — | .041 | .959 | — | .041 | .954 | — | .046 | .954 | — | .046 |
| One-factor model for all items | |||||||||||||
| Same | .5 | .930 | .000 | .070 | .952 | .000 | .048 | .967 | .000 | .033 | .950 | .000 | .050 |
| Same | .7 | .993 | .000 | .007 | .962 | .000 | .038 | .998 | .000 | .002 | .959 | .000 | .041 |
| Different | .5 | .914 | .000 | .086 | .954 | .000 | .046 | .956 | .000 | .044 | .961 | .000 | .039 |
| Different | .7 | .968 | .000 | .032 | .966 | .000 | .034 | .993 | .000 | .007 | .950 | .000 | .050 |
| One-factor model with unique items | |||||||||||||
| Same | .5 | .764 | .075 | .161 | .866 | .075 | .059 | .845 | .000 | .155 | .952 | .000 | .048 |
| Same | .7 | .832 | .000 | .168 | .954 | .000 | .046 | .870 | .000 | .130 | .949 | .000 | .051 |
| Different | .5 | .684 | .161 | .155 | .791 | .161 | .048 | .819 | .005 | .176 | .935 | .005 | .060 |
| Different | .7 | .777 | .000 | .223 | .942 | .000 | .058 | .805 | .000 | .195 | .950 | .000 | .050 |
Note. R-PA = revised parallel analysis; T-PA = traditional parallel analysis.