The Personality Assessment Inventory’s Cognitive Bias Scale: Validation of the Scale of Scale Formats in a Military Sample

The Cognitive Bias Scale (CBS) was recently developed for the PAI (see Gaasedelen et al., 2019). The rationale behind the CBS’s development was that the PAI lacked any over-reporting indicators which assessed cognitive performance, and other personality inventories (i.e., MMPI-2-RF and MMPI-3) had such measures (e.g., Response Bias Scale [RBS]). Using similar methodology that was utilized during the development of the RBS (items were identified based on failed PVT performance and then combined into a scale), Gaasedelen and colleagues created a new validity scale for the PAI using a mixed neuropsychological sample. Subsequently, Armistead-Jehle, Ingram, and Morris replicated the scale in a military sample. In both cases, CBS worked well for identifying those with concurrently failed PVT. Check out the link above to see the article by myself and Nicole Morris of the PATS lab.

Subsequently, Boress et al (2021) examined alternative formats to create the CBS scale using the same, mixed clinical sample of patients on which the original CBS was calculated. They created three distinct scales, called scale of scales (CBS-SOS) because of their use of scale T-scores rather than item-level responses. In their paper, the CBS-SOS each performed well and provided support for the scale level versions of the CBS (AUC ranging from .72 to .75 for CBS-SOS-1 to CBS-SOS-3, respectively).

CBS-SOS Calculation Formulas

CBS-SOS-1 = (NIM + SOM + DEP + ANX + SCZ + SUI) / 6

CBS-SOS-2 = [(NIM*.015246) + (SOM*.033504)+(ANX*.017804)+(DEP*.010947) + (SCZ*-.002386) + (SUI*-.006888)] / 6

CBS-SOS-3 = (NIM + SCZ + SOM-C + SOM-S + DEP-P + ANX-P + PAR-R) / 7

As a follow-up to their work, we once again examined these CBS derived values within a military sample and contrasted performance to the CBS scale (not done in the CBS-SOS validation paper). This work is being presented at this year’s National Academy of Neuropsychology (NAN) conference and is being written up for publication now [Click to Download the Poster]. Here is what we (Armistead, Ingram, & Morris) found:

In case you are wondering why there is not sensitivity, specificity, PPP, and NPP for CBS-sos-2, it was an intentional decision at the time of this poster draft given that its performance its not unique from the other scale of scale forms. Given the more demanding calculation, I opted not to do so. I feel guilty about excluding it so will likely calculate it for the final poster (and certainly will for the paper we are writing up this fall on this project).
  • AUC values for each of the CBS-SOS scales (and CBS) approximated large effects and offered approximately the same overall AUC classification value (~.70),
  • CBS is highly correlated with all forms of the CBS-SOS (.83 to .84)
  • Mean differences are medium in effect (Cohen, 1988) for the CBS and CBS-SOS scales, with effects all ranging from .72 to .75 in magnitude. The CBS-SOS-1 and CBS-SOS-3 had mean differences which were clinically meaningful (i.e., T-score difference of 5+ points)
  • Cut values are slightly different in a military sample than in the non-military mixed neuropsychological sample on which the CBS-SOS formats were initially validated. The sensitivity took the largest dive with values for CB-SOS1 and CB-SOS3 below .05 when specificity was set at a .90 threshold.

Published by Dr. Ingram's Psychology Research Lab

I'm an assistant professor of counseling psychology at Texas Tech University and an active researcher of psychological assessment, veterans, and treatment engagement. I am also in private practice here in Lubbock Texas.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: