Table 6.
Final Regression Models Accounting for Additional Variance in Outcome beyond Neurocognitive Performance
| UPSA-B (n = 196) | SSPA (n = 193) | SLOF (n = 128) | SLOF-HQ (n = 50) | |||||
|---|---|---|---|---|---|---|---|---|
| b* | sr 2 | b* | sr 2 | b* | sr 2 | b* | sr 2 | |
| Block 1—Neurocognition | ||||||||
| Trails A | −.06 | .002 | .05 | .002 | — | — | — | — |
| Symbol Coding | .13 | .008 | .07 | .002 | — | — | — | — |
| HVLT-R | .16* | .016* | .09 | .004 | .07 | .003 | .23 | .035 |
| Letter-Number Span | .12 | .008 | .05 | .002 | .09 | .005 | — | — |
| Animal Naming | −.06 | .003 | −.05 | .002 | — | — | — | — |
| Block 2— Social Cognition | ||||||||
| BLERT | −.08 | .002 | .07 | .002 | .03 | .000 | — | — |
| ER-40 | .13 | .009 | .17* | .014* | .06 | .002 | — | — |
| Eyes | .004 | .000 | −.11 | .004 | — | — | — | — |
| IBT | −.12 | .014 | — | −.19* | .035* | — | — | |
| Hinting | .22** | .043** | .25*** | .050*** | .11 | .009 | .18 | .022 |
| MiniPONS | .11 | .006 | .07 | .003 | .05 | .001 | — | — |
| SAT-MC | .03 | .000 | .03 | .000 | — | — | — | — |
| TASIT | .003 | .000 | .08 | .003 | — | — | — | — |
| BLERT CR | — | — | — | — | — | −.38 | .062 | |
| BLERT RT | — | −.001 | .000 | — | — | — | — | |
| ER-40 CR | −.12 | .013 | — | — | — | — | .10 | .004 |
| ER-40 RT | — | −.19* | .024* | — | — | — | — | |
| Overall Model | ||||||||
| Adjusted R2 | .295*** | .287*** | .06* | .188** | ||||
| R2Change | .11** | .18*** | .06 | .146* | ||||
Note: SLOF-HQ indicates ratings from high-quality informants (ie, professionals with mental health experience).
*P < .05, **P < .01, ***P < .001.