Short Forms of the Cross-Cultural (Chinese) Personality Assessment Inventory: Reliability, Validity, and Measurement Invariance Across Gender

Filling out long questionnaires can be frustrating, unpleasant, and discouraging for respondents to continue. This is why shorter forms of long instruments are preferred, especially when they have comparable reliability and validity. In present study, two short forms of the Cross-cultural (Chinese) Personality Assessment Inventory (CPAI-2) were developed and validated. The items of the short forms were all selected from the 28 personality scales of the CPAI-2 based on the norm sample. Based on some priori criteria, we obtained the appropriate items and constructed the 56-item Chinese Personality Assessment Inventory (CPAI) and the 28-item CPAI. Then, we examined the factor structure of both short forms with Exploratory SEM (ESEM) and replicated the four-factor structure of the original CPAI-2, reflecting the four personality domains of Chinese people, namely, Social Potency, Dependability, Accommodation, and Interpersonal Relatedness. Further analyses with ESEM models demonstrate full measurement invariance across gender for both short forms. The results show that females score lower than males on Social Potency. In addition, these four factors of both short forms have adequate internal consistency, and the correlation patterns of the four factors, the big five personality traits, and several health-related variables are extremely similar across the two short forms, reflecting adequate and comparable criterion validity, convergent validity, and discriminant validity. Overall, the short versions of CPAI-2 are psychometrically acceptable and have practically implications for measuring Chinese personality and cross-cultural research.

A-182 Development of a PTSD-Specific Embedded Validity Measure in the Personality Assessment Inventory

Objective/Background The present study investigated the feasibility of developing a PTSD-specific malingering scale embedded within the Personality Assessment Inventory (PAI). Methods Participants consisted of 489 individuals [mean age = 20.0 (SD = 3.29); 71% female; 73.0% Caucasian, 17.6% African American, 3.5%, 9.4% Other] who completed PAI. 274 individuals were in the control group and instructed to answer normally while 215 were instructed to simulate PTSD with intent to successfully feign PTSD in the context of a legal case. The following were identified as candidate PAI subscales for logistic regression to identify feigned PTSD: ARD-T, BOR-A, SCZ-T, ANX-P, and DEP-P. Results Logistic regression analysis was performed with known group as the dependent variable and PAI subtest normed T-scores as predictor variables. The final full model of five predictor variables significantly predicted group status (χ2 = 384.9, df = 5, N = 489, p < 0.001). The model accounted for 54.5% to 73.0% of the variance (Cox and Snell R2 = 0.545; Nagelkerke R2 = 0.730) in performance classification with overall 89.4% of individuals correctly predicted to their known group. At a cut value of 0.65 the specificity was 94.9%, and the sensitivity was 82.3%. Within the model, the following variables were incrementally predictive of group membership: ARD-T (B = 0.05, p < 0.001), BOR-A (B = 0.04, p < 0.05), and ANX-P (B = 0.04, p < 0.05). Conclusions Preliminary evidence for use of an embedded PAI malingering scale within the PAI was found. Further replication is needed in clinical populations prior to use in practice.

Attentional Tendencies That Impact Emotion Regulation Success Within a Borderline Personality Disorder Framework

Emotion regulation difficulties are key to borderline personality disorder (BPD) symptomatology. Literature indicates that attentional distraction, particularly within an interpersonal context, is common in BPD. Conversely, reappraisal tactics are less prevalent. The goal of the current study was to examine whether this discrepancy is observed when individuals reporting varying levels of BPD tendencies are given the choice of a preferred emotion regulation tactic when confronted with BPD-relevant stressors. Attentional engagement patterns, affective responses, and strategy success were also examined. Participants (N = 103) reported BPD tendencies as assessed by the Personality Assessment Inventory and were instructed to choose either to “distract” or to “reappraise” in response to affective images. Results revealed more instances of failing to implement distraction among individuals with higher BPD tendencies, which was also reflected in greater fixation biases to distressing content within those images. Results are discussed in terms of the malleability of emotion regulation in BPD contexts.

Psychopathy Profiles and Personality Assessment Inventory Scores in a Sex Offender Risk Assessment Field Setting

A growing body of research suggests there are identifiable psychopathy subtypes among offenders scored on Hare’s Psychopathy Checklist–Revised (PCL-R; Hare, 2003). We used latent profile analysis to examine the generalizability of these subtype findings to PCL-R scores ( N = 615) assigned in a sex offender risk assessment field setting and to examine how offender subtypes differ on measures of comorbid psychopathology, risk, and treatment amenability from the Personality Assessment Inventory. Consistent with prior research, we identified four subtypes when using PCL-R scores from all offenders: Prototypic psychopathy ( n = 239, 38.9%), callous-conning ( n = 154, 25.0%), sociopathic ( n = 96, 15.6%), and general offenders ( n = 126, 20.5%). Prototypic and sociopathic subtypes exhibited the highest levels of comorbid psychopathology and risk for potential violence. We identified classes consistent with primary ( n = 66, 36.7%) and secondary ( n = 114, 63.3%) psychopathy among offenders with PCL-R total scores ≥ 25, and found higher levels of comorbid psychopathology and potential for violence among those in the secondary psychopathy class. Findings provide support the generalizability of existing PCL-R subtype findings to field scores and show how those with similar PCL-R total scores may differ on scores from commonly used multiscale inventories.