Table 2.
Latent Class Analysis Results for 1-, 2-, 3-, and 4-Class Models
| Indicators | 1-Class Model | 2-Class Model | 3-Class Model | 4-Class Model | ||||||
| 1 | 1 | 2 | 1 | 2 | 3 | 1 | 2 | 3 | 4 | |
| HVLT total | .541 | .557 | .529 | 1.00 | .549 | .306 | .964 | .334 | .765 | .453 |
| HVLT discrimination | .276 | .279 | .274 | .541 | .268 | .151 | 1.00 | .000 | .530 | .156 |
| AVLT total | .458 | .739 | .250 | .292 | .790 | .267 | .000 | .631 | .847 | .277 |
| AVLT A6 | .313 | .671 | .046 | .121 | .712 | .078 | .142 | .768 | .608 | .019 |
| AVLT discrimination | .282 | .456 | .151 | .119 | .493 | .187 | .079 | .485 | .409 | .171 |
| Rivermead paragraph recall | .474 | .543 | .423 | .543 | .544 | .382 | .453 | .481 | .613 | .409 |
| Class size | 1.00 | .43 | .57 | .21 | .36 | .43 | .08 | .20 | .23 | .49 |
| AIC | 4,218.74 | 4,139.95 | 4,128.49 | 4,128.21 | ||||||
| BIC | 4,226.12 | 4,155.92 | 4,153.07 | 4,161.39 | ||||||
Note: AIC = Akaike information criteria; BIC = Bayesian information criteria; HVLT = Hopkins Verbal Learning Test; AVLT = Rey Auditory Verbal Learning Test.