Table 4.
Summary of multidimensional models
| Model | Description | p | m | χ 2 | df | SRMR | RMSEA | CFI | NPD | Notes |
|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||
| VII | Correlated factors | 27 | 6 | 6,312 | 299 | 0.055 | 0.078 | 0.858 | + | Poor fit |
| VIII | Correlated factors, with methods factors | 27 | 6 | 3,138 | 294 | 0.043 | 0.054 | 0.933 | Acceptable fit by SRMR only | |
| IX | Model VIII, drop immediate memory, delayed and recognition as 1 factor | 23 | 4 | 1,672 | 215 | 0.047 | 0.045 | 0.948 | Acceptable fit. Not nested within above models | |
| X | IX, combine Set shifting and Attention, speed | 23 | 3 | 1,777 | 220 | 0.047 | 0.046 | 0.945 | Reasonably acceptable fit. CFI is lower than ideal. | |
| XI | Second order factor model implied from X | 23 | 4 | 2,053 | 225 | 0.049 | 0.049 | 0.935 | Degraded fit relative to model X | |
Abbreviations: p, number of indicators; m, number of common latent variables (excluding methods factors and single indicator factors); χ2 model chi-square, df, degrees of freedom; SRMR, standardized root mean square residual (≤ 0.08 satisfactory fit); RMSEA, root mean square error of approximation (< 0.05 satisfactory fit); CFI, confirmatory fit index (>0.95 satisfactory fit); NPD, non-positive definite covariance matrix for latent variables.