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Introduction: Originally published in the United States of America in 1991, the Personality Assessment Inventory (PAI) has been translated and adapted to a growing number of countries, but Portugal had yet to study its adequacy to the Portuguese population. Methods: The current study aimed to investigate the Portuguese normative data, the predictive effect of sociodemographic variables on the PAI scores, and the reliability of the Portuguese version of the PAI. Additionally, results were compared with other international versions of the PAI. The sample was comprised of 900 participants (age: M = 43.13, SD = 14.28, range = 18-75), recruited from various regions of Portugal. Results: Findings showed that the Portuguese sample scored higher than the U.S. and other international versions of the PAI in most scales. Sociodemographic variables (e.g., gender, age, and educational level) were significant predictors on PAI scores. The internal consistency of the Portuguese sample revealed lower values on the validity scales, but adequate on the clinical, treatment, and interpersonal scales. Overall, the Portuguese PAI revealed adequate psychometric properties, with normative results often superior to other international versions of the inventory. Discussion: It is a crucial step into the Portuguese adaptation and validation of this instrument, a measure with considerable potential in clinical, forensic, and research contexts. This adaptation may lead to the growth and development of the psychological assessment field in Portugal, and the opportunity to develop future cross-cultural studies with other international versions of the PAI.

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As Forensic Psychology continues to expand as an independent field, professionals regularly resort to psychological assessment tools to assess people involved within the justice system. The Personality Assessment Inventory (PAI) is a 344-item, self-report inventory that aims to provide meaningful information for diagnosis and clinical decision-making, specifically relating to psychopathology, personality, and psychosocial environment. Its applicability in forensic settings has been increasingly recognized on account of its benefits in comparison to other self-report inventories (e.g., MMPI-2, MCMI-III), since it includes scales that are relevant to forensic settings (e.g., violence risk levels, psychopathy, substance abuse), and the existence of profile distortion indicators is useful when dealing with highly defensive and/or malingering populations. The goal of this paper is to conduct a thorough review of the PAI's utility in forensic settings, by focusing on the relevant forensic constructs assessed by the PAI (e.g., personality disorders, psychosis, substance abuse, aggression, recidivism risk, and response distortion), as well as its application to offender and inmate populations, intimate partner violence contexts, family law cases, and forensic professionals. Overall, the PAI continues to gather international recognition and its relevance and usefulness in forensic settings is generally accepted and acknowledged.

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Following the development of the Cognitive Bias Scale (CBS), three other cognitive over-reporting indicators were created. This study cross-validates these new Cognitive Bias Scale of Scales (CB-SOS) measurements in a military sample and contrasts their performance to the CBS. We analyzed data from 288 active-duty soldiers who underwent neuropsychological evaluation. Groups were established based on performance validity testing (PVT) failure. Medium effects (d = .71 to .74) were observed between those passing and failing PVTs. The CB-SOS scales have high specificity (≥.90) but low sensitivity across the suggested cut scores. While all CB-SOS were able to achieve .90, lower scores were typically needed. CBS demonstrated incremental validity beyond CB-SOS-1 and CB-SOS-3; only CB-SOS-2 was incremental beyond CBS. In a military sample, the CB-SOS scales have more limited sensitivity than in its original validation, indicating an area of limited utility despite easier calculation. The CBS performs comparably, if not better, than CB-SOS scales. CB-SOS-2's differences in performance in this study and its initial validation suggest that its psychometric properties may be sample dependent. Given their ease of calculation and relatively high specificity, our study supports the interpretation of elevated CB-SOS scores indicating those who are likely to fail concurrent PVTs.

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INTRODUCTION: The extent to which performance validity (PVT) and symptom validity (SVT) tests measure separate constructs is unclear. Prior research using the Minnesota Multiphasic Personality Inventory (MMPI-2 & RF) suggested that PVTs and SVTs are separate but related constructs. However, the relationship between Personality Assessment Inventory (PAI) SVTs and PVTs has not been explored. This study aimed to replicate previous MMPI research using the PAI, exploring the relationship between PVTs and overreporting SVTs across three subsamples, neurodevelopmental (attention deficit-hyperactivity disorder (ADHD)/learning disorder), psychiatric, and mild traumatic brain injury (mTBI). METHODS: Participants included 561 consecutive referrals who completed the Test of Memory Malingering (TOMM) and the PAI. Three subgroups were created based on referral question. The relationship between PAI SVTs and the PVT was evaluated through multiple regression analysis. RESULTS: The results demonstrated the relationship between PAI symptom overreporting SVTs, including Negative Impression Management (NIM), Malingering Index (MAL), and Cognitive Bias Scale (CBS), and PVTs varied by referral subgroup. Specifically, overreporting on CBS but not NIM and MAL significantly predicted poorer PVT performance in the full sample and the mTBI sample. In contrast, none of the overreporting SVTs significantly predicted PVT performance in the ADHD/learning disorder sample but conversely, all SVTs predicted PVT performance in the psychiatric sample. CONCLUSIONS: The results partially replicated prior research comparing SVTs and PVTs and suggested that constructs measured by SVTs and PVTs vary depending upon population. The results support the necessity of both PVTs and SVTs in clinical neuropsychological practice.

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Objective: Recent studies on Long COVID found that patients report prominent emotional distress and significant correlations between distress and cognitive performance have been identified, raising the question of how to manage or treat these issues. To understand psychological functioning in Long COVID further, this study examined personality responses on the Personality Assessment Inventory (PAI) to compare psychological functioning in a Long COVID group with a post-concussion syndrome (PCS) group, a syndrome with a significant psychological component. Participants and methods: Participants included 201 consecutive Long COVID outpatients (Mean age = 48.87 years, mean education = 14.82, 71.6% Female, 82.6% White) and a comparison group of 102 consecutively referred PCS outpatients (Mean age = 46.08, mean education = 14.17, 63.7% Female, 88.2% White). Effect sizes and t-tests were calculated using the PAI validity, clinical, interpersonal, and treatment consideration scales as well as clinical subscales. Results: The results replicated earlier findings on the PAI in Long COVID by demonstrating that both Long COVID and PCS groups had the highest mean elevations on SOM and DEP scales but no statistically significant between group differences in mean scale elevations. Results support similarities in psychological functioning between Long COVID and PCS patients emphasizing the importance of evaluating psychological functioning in neuropsychological evaluations for these populations. Further, results suggest that psychological treatment strategies for PCS patients may be helpful for Long COVID patients, but more research is needed.

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We examined discrepancies in 81 patient-therapist dyads' alliance ratings early in treatment (3rd or 4th session) in relation to Personality Assessment Inventory clinical scales, subscales and global psychopathology. Results indicated that PAI global psychopathology (mean clinical elevation) and the scales of Aggression [AGG], Somatization [SOM], and Anxiety-Related Disorders [ARD] were significantly, negatively associated with an absolute difference of patient and therapist alliance ratings at Session 3. Higher initial scores on these clinical scales at treatment onset are associated with less difference (i.e., more convergence) in patient/ therapist ratings of alliance at Session 3. Correlations between PAI clinical subscales and absolute differences of patient and therapist alliance ratings at Session 3 also demonstrated statistically significant inverse relationships for several PAI subscales of Aggression- Attitude [AGG-A], Aggression-Physical [AGG-P], Somatic- Health Concerns [SOM-H], Anxiety-Related Disorders-Traumatic Stress [ARD-T], Anxiety-Related Disorders- Obsessive Compulsive [ARD-O], Borderline Features-Affective Instability [BOR-A], Borderline- Self-Harm [BOR-S], Anxiety-Physiological [ANX-P], Depression-Physiological [DEP-P] and Antisocial-Stimulus Seeking [ANT-S]. Again, higher scores on these subscales at treatment onset are associated with less difference (i.e., more convergence) in patient/therapist ratings. We also examined group differences between patients rating alliance higher (Group 1) and therapists rating alliance higher (Group 2) and found that Group 1 had significantly lower scores on Mania-Activity Level [MAN-A]. Clinical implications of results are discussed.

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In this study, we explored the temporal stability of the Personality Assessment Inventory (PAI), which has not been comprehensively reexamined since it was first published. Our three specific aims were to determine the utility of PAI indicators of basic protocol validity (inconsistent responses [ICN] and highly unusual/unlikely responses [INF]) in identifying suspect responding; calculate the stability coefficients for each PAI scale and subscale across 3-, 6-, and 9-week spans; and explore whether profile stability across four measurements could be prospectively predicted. We administered the PAI to a sample of undergraduates (N = 579) at four separate timepoints. ICN and INF effectively identified likely attriters and inconsistent responders. All PAI full scales and subscales evidenced good test-retest reliability, with some small exceptions. Finally, all PAI clinical scales were correlated with profile instability although many of these correlations were no longer significant when controlling for mean clinical elevation of the profile. We interpreted these results as evidence for the utility of PAI validity scales, the temporal reliability of the PAI, and the role of psychopathology in response variability over time. We also discussed some preliminary evidence that this variability can be prospectively predicted, suggesting that it in part reflects substantive changes rather than random error variance.

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Attention Deficit Hyperactivity Disorder is a relatively common and often disabling disorder in adults. However, feigning ADHD symptomatology is both easy and potentially common. We explored the most effective strategies for A) identifying individuals who had been diagnosed with ADHD based on existing PAI symptom indicators, and B), discriminating between feigned and genuine ADHD symptoms using PAI negative distortion indicators. Our sample consisted of 463 college aged participants who had been diagnosed with ADHD (n = 60), were asked to feign ADHD (n = 71), and a control group (n = 333). Self-reported diagnosis and successful feigning were corroborated by the CAARS-S: E scale. We first compared two PAI-derived ADHD indicators to determine which best differentiated between our ADHD and Control groups. Next, we compared seven negative distortion indicators to determine which could best distinguish between real and feigned ADHD symptoms. Our results revealed that the PAI-ADHD scale was the most effective symptom indicator. Further, the Negative Distortion Scale (NDS) was the most effective for identifying feigners. When assessing ADHD based on the PAI, the PAI-ADHD scale appears promising as an indicator of symptomatology, while the NDS appears useful to rule-out feigning.

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INTRODUCTION: This study validated Personality Assessment Inventory (PAI) Suicidal Ideation (SUI), Suicide Potential Index (SPI), and S_Chron scales against chronic and acute suicide risk factors and symptom validity measures. METHODS: Afghanistan/Iraq-era active-duty and Veteran participants completed a prospective study on neurocognition (N = 403) that included the PAI. The Beck Depression Inventory-II (specifically item 9) administered at two time points assessed acute and chronic suicide risk; the Beck Scale for Suicide Ideation item 20 identified history of suicide attempts. Major depressive disorder (MDD), posttraumatic stress disorder (PTSD), and traumatic brain injury (TBI) were evaluated using structured interviews and questionnaires. RESULTS: All three PAI suicide scales were significantly related to independent indicators of suicidality, with the largest effect for SUI (AUC 0.837-0.849). All three suicide scales were significantly related to MDD (r = 0.36-0.51), PTSD (r = 0.27-0.60), and TBI (r = 0.11-0.30). The three scales were not related to suicide attempt history for those with invalid PAI protocols. CONCLUSIONS: Although all three suicide scales do show significant relationships to other indicators of risk, SUI showed the highest association and greatest resistance to response bias.

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Objective: The present study evaluated the function of four cognitive, symptom validity scales on the Personality Assessment Inventory (PAI), the Cognitive Bias Scale (CBS) and the Cognitive Bias Scale of Scales (CB-SOS) 1, 2, and 3 in a sample of Veterans who volunteered for a study of neurocognitive functioning. Method: 371 Veterans (88.1% male, 66.1% White) completed a battery including the Miller Forensic Assessment of Symptoms Test (M-FAST), the Word Memory Test (WMT), and the PAI. Independent samples t-tests compared mean differences on cognitive bias scales between valid and invalid groups on the M-FAST and WMT. Area under the curve (AUC), sensitivity, specificity, and hit rate across various scale point-estimates were used to evaluate classification accuracy of the CBS and CB-SOS scales. Results: Group differences were significant with moderate effect sizes for all cognitive bias scales between the WMT-classified groups (d = .52-.55), and large effect sizes between the M-FAST-classified groups (d = 1.27-1.45). AUC effect sizes were moderate across the WMT-classified groups (.650-.676) and large across M-FAST-classified groups (.816-.854). When specificity was set to .90, sensitivity was higher for M-FAST and the CBS performed the best (sensitivity = .42). Conclusion: The CBS and CB-SOS scales seem to better detect symptom invalidity than performance invalidity in Veterans using cutoff scores similar to those found in prior studies with non-Veterans.

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PRIMARY OBJECTIVE: To identify the factor structure of the Personality Assessment Inventory (PAI) clinical scales for military service members with traumatic brain injury (TBI). RESEARCH DESIGN: Retrospective analysis of existing data base. METHODS AND PROCEDURES: The sample included 210 service members with TBI who completed the PAI as part of a neuropsychological evaluation at a military TBI clinic. Statistical analysis included exploratory factor analysis of 214 items of the 11 PAI clinical scales. MAIN OUTCOMES AND RESULTS: Exploratory factor analysis indicated a four-factor solution accounting for 30.4% of the variance in scores. A review of the face validity of the items from each factor generated the following factor labels: Somatic/Psychiatric/Cognitive Distress, Social Distress, Substance Misuse, and Depression. CONCLUSIONS: The PAI appears to assess general distress (i.e., somatic/psychiatric/cognitive) and substance misuse constructs for both psychiatric and TBI populations, but it also appears to assess a "social distress" construct (i.e., difficulties socializing in both military and civilian populations) that is unique to military populations. Suggestions are offered to re-conceptualize PAI clinical scales specific to psychopathology (i.e., schizophrenia, paranoia, mania, borderline, antisocial) and personality disorders (i.e., borderline, antisocial) in terms of neurologic and military specific issues for service members with TBI.

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Limited research investigating the long-term psychological and emotional correlates of COVID-19 infection has been completed. The current study begins to address this limitation in patients experiencing Post-Acute Sequelae SARS-CoV-2 (PASC; e.g. "Long COVID").Participants were 43 consecutive neuropsychological outpatients diagnosed with PASC and who completed the Personality Assessment Inventory (PAI). The sample was predominantly female (n = 36) and white (n = 32). Effect sizes compared to the normative mean T scores and base rates of elevated (T > 69) scores were calculated.PAI scales measuring somatic preoccupation and depression had large effect sizes and the highest base rates of scale elevations, with the mean T score at approximately the normative cutoff for clinical significance (T = 70). The Schizophrenia Thought Disorder subscale (SCZ-T) also had a large effect size and high base rate of elevation, likely reflecting cognitive concerns. Scales measuring anxiety had medium effect sizes. The other PAI scales generally had small to negligible effect sizes. There were no significant differences between hospitalized and non-hospitalized participants on the PAI.Overall, PAI scales measuring psychological distress, particularly somatic preoccupation and depression, were the most frequently elevated in the participants. The specific reasons for somatic preoccupation could not be determined in this study. Potential explanations include a vulnerability to distress in Long COVID patients, premorbid somatic preoccupation perhaps motivating these patients to seek clinical attention, or socioenvironmental factors leading some COVID patients to be somatically preoccupied with minor physiological changes and attribute those changes to COVID-19.

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Objective: This study is a cross-validation of the Cognitive Bias Scale (CBS) from the Personality Assessment Inventory (PAI), a ten-item scale designed to assess symptom endorsement associated with performance validity test failure in neuropsychological samples. The study utilized a mixed neuropsychological sample of consecutively referred patients at a large academic medical center in the Midwest. Participants and Methods: Participants were 332 patients who completed embedded and free-standing performance validity tests (PVTs) and the PAI. Pass and fail groups were created based on PVT performance to evaluate classification accuracy of the CBS. Results: The results were generally consistent with the initial study for overall classification accuracy, sensitivity, and cut-off score. Consistent with the validation study, CBS had better classification accuracy than the original PAI validity scales and a comparable effect size to that obtained in the original validation publication; however, the Somatic Complaints scale (SOM) and the Conversion subscale (SOM-C) also demonstrated good classification accuracy. The CBS had incremental predictive ability compared to existing PAI scales. Conclusions: The results supported the CBS, but further research is needed on specific populations. Findings from this present study also suggest the relationship between conversion tendencies and PVT failure may be stronger in some geographic locations or population types (forensic versus clinical patients).

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Neuropsychological impairments are evaluated using subjective measures and objective tests, although their relationship remains unclear. This is likely because objective data is interpreted in terms of absolute level of functioning (e.g., high average, average, low average) while subjective complaints are interpreted in terms of relative decline from premorbid levels (e.g., mild, moderate, severe). The current study calculated objective indices of estimated degree of relative decline (i.e., difference between current cognitive ability and estimated premorbid level) to compare objective and subjective indices of relative decline for military service members with mild traumatic brain injury (mTBI). Contrary to hypotheses, more indices of absolute level of functioning were significantly correlated with subjective neuropsychological (i.e., Neurobehavioral Symptom Inventory) and psychological complaints (e.g., Personality Assessment Inventory) than relative decline scores. The results suggest stronger cognitive abilities may be associated with greater cognitive reserve or emotional resilience and, thereby, less subjective complaints for individuals with TBI, regardless of the extent of neuropsychological decline experienced.

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Objective: The present study evaluated the psychometric properties of the Personality Assessment Inventory-Short Form (PAI-SF) for use with patients with recent stroke. Method: Study participants (N = 170) were inpatients in a tertiary hospital in Western Canada admitted to a rehabilitation department who completed a neuropsychological evaluation as part of their care. All participants completed the full-form of the PAI (344 items) and both full- and short-form (160 items) versions were scored from the same protocol. Results: Internal consistency for the PAI-SF scales was assessed by Cronbach's coefficient alpha. Alpha coefficients for clinical scales fell between the range of 0.53 (ANT) to 0.88 (ANX), with three scales (ANT, ALC, and DRG) falling below satisfactory (<0.70). Alpha coefficients were unsatisfactory for validity, treatment, and interpersonal scales. Absolute differences between mean clinical scale t scores between the full and short-form PAI clinical scales ranged from 0.04 (DEP) to 1.18 (MAN). For an individual, absolute differences in scale t scores between the full- and short-forms ranged from 0 to 30 t scores. On average, an individual varied 3.75 t scores between the PAI full- and short-form across all validity, clinical, interpersonal, and treatment scales. Component structure was similar across the full- and short-forms. Conclusions: Findings are somewhat consistent with previous literature on the PAI-SF as the full- and short-forms had minimal differences and similar psychometric properties. However, caution is warranted for the clinical utility for both forms given the lower alpha coefficients and different structure. Only certain clinical scales appear to have strong psychometric properties.

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Objective: This exploratory study examined the classification accuracy of three derived scales aimed at detecting cognitive response bias in neuropsychological samples. The derived scales are composed of existing scales from the Personality Assessment Inventory (PAI). A mixed clinical sample of consecutive outpatients referred for neuropsychological assessment at a large Midwestern academic medical center was utilized. Participants and Methods: Participants included 332 patients who completed study's embedded and free-standing performance validity tests (PVTs) and the PAI. PASS and FAIL groups were created based on PVT performance to evaluate the classification accuracy of the derived scales. Three new scales, Cognitive Bias Scale of Scales 1-3, (CB-SOS1-3) were derived by combining existing scales by either summing the scales together and dividing by the total number of scales summed, or by logistically deriving a variable from the contributions of several scales. Results: All of the newly derived scales significantly differentiated between PASS and FAIL groups. All of the derived SOS scales demonstrated acceptable classification accuracy (i.e. CB-SOS1 AUC = 0.72; CB-SOS2 AUC = 0.73; CB-SOS3 AUC = 0.75). Conclusions: This exploratory study demonstrates that attending to scale-level PAI data may be a promising area of research in improving prediction of PVT failure.

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The Personality Assessment Inventory (PAI) Treatment Process Index (TPI) is a measure of treatment amenability based on an index of factors related to poor treatment outcomes (e.g., hostility, lack of social support, and poor impulse control). In this study, the formula used to calculate the TPI for the adult PAI was applied to PAI-Adolescent (PAI-As) protoocols completed by 372 adolescents (mean age: 16.8 years; 80% male) during a 22-week residential program for at-risk youth. The number of disciplinary infractions received during the program was used as an indicator of the participants' response to the program. Average PAI-A scale scores and TPI scores were higher than those previously reported for community samples, but lower than those found in clinical samples. TPI scores were positively associated with disciplinary infractions, particularly nonaggressive infractions, when controlling for demographic factors and other clinically relevant variables. Results suggest that the the TPI has relevance for adolescents completing the PAI-A.

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This study evaluated the Personality Assessment Inventory's (PAI) symptom validity-based over-reporting scales with concurrently administered performance validity testing in a sample of active-duty military personnel seen within a neuropsychology clinic. We utilize two measures of performance validity to identify problematic performance validity (pass all/fail any) in 468 participants. Scale means, sensitivity, specificity, predictive value, and risk ratios were contrasted across symptom validity-based over-reporting scales. Results indicate that the Negative Impression Management (NIM), Malingering Index (MAL), and Multiscale Feigning Index (MFI) scales are the best at classifying failed performance validity testing with medium to large effects (d = .61-.73). In general, these scales demonstrated high specificity and low sensitivity. Roger's Discriminant Function (RDF) had negligible group differences and poor classification. The Feigned Adult ADHD index (FAA) performed inconsistently. This study provides support for the use of several PAI over-reporting scales at detecting probable patterns of performance-based invalid responses within a military sample. Military clinicians using NIM, MAL, or MFI are confident that those who elevate these scales at recommended cut scores are likely to fail concurrent performance validity testing. Use of the Feigned Adult FAA and RDF scales is discouraged due to their poor or mixed performance.

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OBJECTIVE: This study aims to understand borderline personality disorder (BPD) features by employing the Personality Psychopathology Five (PSY-5) scales from the Minnesota Multiphasic Personality Inventory-2 (MMPI-2). METHODS: A total of 156 psychiatric patients completed PSY-5 scales of MMPI-2 and Personality Assessment Inventory-Borderline Subscale (PAI-BOR). Pearson's partial correlation analysis was conducted to control the impact of age and gender and to determine the relationship between PSY-5 scales and BOR. A hierarchical multiple regression analysis was implemented to examine whether PSY-5 scales predicted the BOR-total, and a path analysis was performed to determine whether PSY-5 scales predicted each PAI-BOR subscale. RESULTS: The BOR-total score had a significant correlation with all PSY-5 scores, even after controlling for age and gender. However, only aggressiveness (AGGR), disconstraint (DISC), negative emotionality/neuroticism (NEGE), and introversion/low positive emotionality (INTR), excluding psychoticism (PSYC), significantly predicted BOR-total. The path analysis indicates that PSYC did not predict any BOR subscale, while NEGE predicted all BOR subscales. CONCLUSION: The study findings indicate that NEGE best reflects BPD features, while PSYC is far from the core domain that describes BPD. In addition, the influence of age should be considered when understanding BPD, since age predicted the BOR-total and two BOR subscales.

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OBJECTIVE: There are growing interests on suicide risk screening in clinical settings and classifying high-risk groups of suicide with suicidal ideation is crucial for a more effective suicide preventive intervention. Previous statistical techniques were limited because they tried to predict suicide risk using a simple algorithm. Machine learning differs from the traditional statistical techniques in that it generates the most optimal algorithm from various predictors. METHODS: We aim to analyze the Personality Assessment Inventory (PAI) profiles of child and adolescent patients who received outpatient psychiatric care using machine learning techniques, such as logistic regression (LR), random forest (RF), artificial neural network (ANN), support vector machine (SVM), and extreme gradient boosting (XGB), to develop and validate a classification model for individuals with high suicide risk. RESULTS: We developed prediction models using seven relevant features calculated by Boruta algorithm and subsequently tested all models using the testing dataset. The area under the ROC curve of these models were above 0.9 and the RF model exhibited the best performance. CONCLUSION: Suicide must be assessed based on multiple aspects, and although Personality Assessment Inventory for Adolescent assess an array of domains, further research is needed for predicting high suicide risk groups.