The Chronic Time Pressure Inventory: further assessment of factorial structure and validity.

Background: Chronic time pressure represents a prevalent concern within modern society, and effective measurement is crucial for research advancement. The Chronic Time Pressure Inventory (CTPI) has thus far demonstrated adequate psychometric properties. However, only two studies have examined the measure and evidence of its validity is limited. Accordingly, the current investigation, via two independent studies, assessed the factorial composition and validity (convergent/discriminant) of the CTPI. Methods: Study 1 (N = 398) examined competing factorial models and validity in relation to the Big Five personality traits (Extraversion, Agreeableness, Conscientiousness, Neuroticism, Openness). Study 2 (N = 358) replicated the analysis of factor structure and assessed validity in comparison with five time perspectives (Past Negative, Present Fatalistic, Future, Past Positive, Present Hedonistic). Participants across both studies completed standardized self-report measures capturing the variables. Results: Comparison of confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) factor solutions indicated that an ESEM bifactor model provided the strongest data-model fit. This included a general chronic time pressure component alongside specific subfactors of Feeling Harried and Cognitive Awareness of Time Shortage. All scale items reflected the general factor; however, some items loaded weakly on the intended specific factor. The CTPI is thus a robust indicator of chronic time pressure but needs refinement as a measure of the specific factors. Convergent/discriminant validity analyses inferred that the CTPI captured chronic time pressure as a related, but distinct, construct to perceived stress, and evidenced a relationship with theoretically associated constructs (Big Five personality traits and time perspective). Overall, the CTPI is a sound measure of chronic time pressure and has the potential to further cohesive research efforts on the contribution of this construct to various life domains.

Deriving the Transdiagnostic Scales From the Personality Assessment Inventory and SPECTRA: Indices of Psychopathology: A Demonstration.

Transdiagnostic models of psychopathology address many of the shortcomings common to categorical diagnostic systems. These empirically derived models conceptualize psychopathology as a few broad interrelated and hierarchically arranged dimensions, with an overarching general psychopathology dimension, the p-factor, at the apex. While transdiagnostic models are gaining prominence in mental health research, the lack of available tools has limited their clinical translation. The present study explored the potential of creating transdiagnostic scales from the joint factor structure of the Personality Assessment Inventory, Alternative Model of Personality Disorder trait scales (AMPD), and the clinical scales of the SPECTRA: Indices of Psychopathology (SPECTRA). Exploratory factor analysis in a clinical sample (n = 212) identified five factors corresponding to the Negative Affect/Internalizing, Detachment, Antagonism/Externalizing, Disinhibition/Externalizing, and Thought Disorder transdiagnostic dimensions. Goldberg's "Bass-Ackward" method supported a hierarchical structure. Five composite transdiagnostic scales were created by summing each factor's highest loading PAI and SPECTRA scales. A global psychopathology scale was created by summing the five composite scales. All the composite scales demonstrated adequate internal consistency. Correlations between the composite scales and the NEO Five-Factor Inventory-3 provide initial validity evidence for four composite and global scales. The composite thought disorder scale had no conceptually corresponding NEO domain. Clinical implications and study limitations are discussed.

Personality assessment inventory (PAI) in forensic and correctional settings: A comprehensive review.

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.

Absolute and relative disparity mechanisms revealed by an equivalent noise analysis.

The precision of stereopsis and vergence are ultimately limited by internal binocular disparity noise. Here we propose an equivalent noise model with both global and local internal disparity noises to provide a unified explanation of both absolute and relative disparity thresholds. To test this model, we developed a psychophysical procedure to measure the equivalent internal disparity noise by adding external disparity noise to random-Gabor-patch stereograms. We used the method of constant stimuli to measure the minimum and maximum disparity thresholds (Dmin and Dmax) for both absolute and relative disparity. Consistent with previous studies, we found that Dmin thresholds are substantially worse for absolute disparity than for relative disparity. We tested three relative disparity mechanisms: (1) the difference between the monocular separations of targets projecting to the two eyes; (2) the direct measurement of relative disparity; and (3) the difference of absolute disparities of targets. Computing the difference of absolute disparities when detecting relative disparity, Mechanism 3 cancels global noise, resulting in a much lower relative Dmin threshold, and provides a reasonable fit to the experimental data. We also found that the presence of as much as 2400 arcsec of external disparity noise does not appear to affect the Dmax threshold. This observation suggests that Dmax is implicated in a mechanism that disregards the disparity variance of individual items, relying instead on the average disparity across all items, supporting the depth model proposed in our previous study (Ding & Levi, 2021), which posits distinct mechanisms governing Dmin and Dmax thresholds.

The lay of the land: Associations between environmental features and personality.

OBJECTIVE: Personality traits cluster across countries, regions, cities, and neighborhoods. What drives the formation of these clusters? Ecological theory suggests that physical locations shape humans' patterns of behaviors and psychological characteristics. Based on this theory, we examined whether and how differential land-cover relates to individual personality. METHOD: We followed a preregistered three-pronged analysis approach to investigate the associations between personality (N = 2,690,878) and land-cover across the United States. We used eleven land-cover categories to classify landscapes and tested their association with personality against broad physical and socioeconomic factors. RESULTS: Urban areas were positively associated with openness to experience and negatively associated with conscientiousness. Coastal areas were positively associated with openness to experience and neuroticism but negatively associated with agreeableness and conscientiousness. Cultivated areas were negatively associated with openness. Landscapes at the periphery of human activity, such as shrubs, bare lands, or permanent snows, were not reliably associated with personality traits. CONCLUSIONS: Bivariate correlations, multilevel, and random forest models uncovered robust associations between landscapes and personality traits. These findings align with ecological theory suggesting that an individual's environment contributes to their behaviors, thoughts, and feelings.

Using the Personality Assessment Inventory to Assess the Alternative Model for Personality Disorders: Criterion Validity in a Clinical Sample.

The Personality Assessment Inventory (PAI) is a broadband measure of psychopathology that is widely used in applied settings. Researchers developed regression-based estimates that use the PAI to measure constructs of the Alternative Model for Personality Disorders (AMPD) - a hybrid dimensional and categorical approach to conceptualizing personality disorders. Although prior work has linked these estimates to formal measures of the AMPD, there is little work investigating the clinical correlates of this scoring approach of the PAI. The current study examines associations between these PAI-based AMPD estimates and life data in a large, archival dataset of psychiatric outpatients and inpatients. We found general support for the criterion validity of AMPD estimate scores, such that a theoretically consistent pattern of associations emerged with indicators such as prior academic achievement, antisocial behavior, psychiatric history, and substance abuse. These results provide preliminary support to this scoring approach for use in clinical samples.

A deep learning approach to personality assessment: Generalizing across items and expanding the reach of survey-based research.

Traditional methods of personality assessment, and survey-based research in general, cannot make inferences about new items that have not been surveyed previously. This limits the amount of information that can be obtained from a given survey. In this article, we tackle this problem by leveraging recent advances in statistical natural language processing. Specifically, we extract "embedding" representations of questionnaire items from deep neural networks, trained on large-scale English language data. These embeddings allow us to construct a high-dimensional space of items, in which linguistically similar items are located near each other. We combine item embeddings with machine learning algorithms to extrapolate participant ratings of personality items to completely new items that have not been rated by any participants. The accuracy of our approach is on par with incentivized human judges given an identical task, indicating that it predicts ratings of new personality items as accurately as people do. Our approach is also capable of identifying psychological constructs associated with questionnaire items and can accurately cluster items into their constructs based only on their language content. Overall, our results show how representations of linguistic personality descriptors obtained from deep language models can be used to model and predict a large variety of traits, scales, and constructs. In doing so, they showcase a new scalable and cost-effective method for psychological measurement. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evidence-Based Assessment of Personality Disorder.

The purpose of this article is to provide a description and discussion of the evidence-based assessment of personality disorder. Considered herein is the assessment of the Section II personality disorders included within the fifth edition of the American Psychiatric Association's (APA) Diagnostic and Statistical Manual of Mental Disorders (5th ed., text rev.; DSM-5-TR), within Section III of DSM-5-TR, and within the 11th edition of the World Health Organization's International Classification of Diseases (WHO). The recommendation for an evidence-based assessment is for a multimethod approach: first administer a self-report inventory to alert the clinician to maladaptive personality functioning that might not have otherwise been anticipated, followed by a semi-structured interview to verify the personality disorder's presence. The validity of this multimethod strategy can be improved further by considering the impact of other disorders on the assessment, documenting temporal stability, and establishing a compelling, empirical basis for cutoff points.

Construction of item-level scales from the Personality Assessment Inventory to assess levels of personality functioning.

The fifth edition of the Diagnostic and Statistical Manual for Mental Disorders (DSM-5; American Psychiatric Association, 2013) introduced the clinician-rated Levels of Personality Functioning Scale (LPFS) as an indicator of general personality functioning based on four elements: Identity, Self-Direction, Empathy, and Intimacy. Construct validation strategies were employed to select and evaluate items from the Personality Assessment Inventory (PAI; Morey, 2007) to measure the four elements of the LPFS. In Study 1, conceptual ratings of PAI items produced lists of candidate items for the four elements. In Study 2, a sample of student respondents (n = 312) was used to select the final items for the PAI-Levels of Personality Functioning (PAI-LPF). In Study 3, a large sample of adults (n = 505) gathered using Amazon's Mechanical Turk was used to cross-validate the psychometric properties of the PAI-LPF element scales. Means, standard deviations, and coefficient alpha values are reported for the PAI-LPF total score and element scales using the PAI community adult and clinical patient normative samples. The PAI-LPF offers clinicians and researchers the ability to include the LPFS as part of a comprehensive assessment of personality and psychopathology offered by the PAI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examining the construct validity of the Personality Assessment Questionnaire for ICD-11 (PAQ-11) personality trait domains in a community sample.

The ICD-11 has a new diagnostic system for personality disorder, which includes five optional trait specifiers to characterize the diagnosed pathology. The current study evaluated the internal structure and construct validity of the Personality Assessment Questionnaire for ICD-11 (PAQ-11) personality trait domains in a US population-representative community sample. An exploratory factor analysis revealed the support for a four-factor model underlying the 17 PAQ-11 items, reflecting four of the five ICD-11 trait domains (Negative Affectivity, Detachment, Disinhibition and Anankastia). Moreover, correlation analyses revealed that the PAQ-11 domain scale scores were associated, as expected, with their counterparts from two other ICD-11 trait domain measures, as well as with traditional personality disorder scores. More broadly, the results raised questions about the structural integrity of the Dissociality domain scale, and the discriminant validity of the Disinhibition and Anankastia scales. The overall conclusion was nevertheless promising with respect to the PAQ-11 serving as a brief screening measure for the ICD-11 trait domains.

The Labor Market with People in It: Personality Traits and Employment Dynamics.

Issues pertaining to the organization and efficiency of the labor market and to the dynamics of employment and unemployment have always been at the forefront of the concerns of economists. Typically, such issues are approached through the analysis of the conflicting interests of a representative worker and of a representative firm, each of which intending to maximize the corresponding intertemporal objective function. Much of the research undertaken on this subject neglects the fact that each person is unique and endowed with different personality traits that influence their educational attainment, their ability to access jobs, their productivity while employed, and also their willingness to support, through social welfare mechanisms, those who become unemployed. In this research, we propose a simulation model to approach the dynamics of the labor market. The model conceives an economy populated by a large number of individuals who, over their life cycles, acquire education, search for a job, receive a wage while employed, and access an unemployment benefit while out of work. Because individuals are endowed with different personalities, they experience different degrees of professional success over their life cycles. Such reasoning leads to a labor market aggregate outcome characterized by emergent phenomena, out-of-equilibrium, path dependence, and other features that are characteristic of a complex evolving system. In the proposed setting, the personality of individuals is shaped by taking into account the big five personality traits of psychological analysis, namely openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism.

Validation of the personality assessment inventory (PAI) cognitive bias (CBS) and cognitive bias scale of scales (CB-SOS) in a post-deployment veteran sample.

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.

Mapping Chinese Personality: An Assessment of the Psychometric Properties of the NEO-PI-3 in Monolingual and Bilingual Studies.

The NEO-PI-3 is a fourth-generation instrument that has been shown to improve the psychometrics and readability of its immediate precedent, the NEO-PI-R. We examined the psychometric properties of the Chinese versions of the NEO-PI-R and NEO-PI-3 using three datasets (Ns = 913, 299, 403) collected using both monolingual and bilingual designs. The Chinese NEO-PI-3 scales displayed a five-factor structure in which the facets had the highest loadings on their intended factors. The structure demonstrated strong invariance across both languages (English vs. Chinese) and gender groups, maintained high test-retest reliability, and attained slightly better internal consistency than the NEO-PI-R. We also examined the affective underpinnings of personality factors and well-being measures using the Chinese Circumplex Model of Affect. Consistent with past findings, Neuroticism and Extraversion were most related to affect, while Satisfaction with Life and Subjective Happiness shared the affective core of pleasant feelings and medium arousal. Based on these results, the Chinese NEO-PI-3 appears to be a sound instrument to measure personality in Chinese communities and to compare personality across cultures.

[The alternative model of personality disorders among the French population: Assessment with brief tools]. / Le modèle alternatif des troubles de la personnalité en population française : évaluation avec des outils brefs.

OBJECTIVES: The aim of this work was to study whether the French versions of the brief tools available to clinicians within the framework of the Alternative Model of Personality Disorders (AMPD) can account for the risks of personality disorders in the general population. Tools are available to accurately investigate either the Level of Personality Functioning (LPF) or the Pathological Personality Dimensions (PPD) which in turn allow the validation of the relevance of the AMPD for its criteria A and B. As these tools, such as Morey's Level of Personality Functioning Scale Self Rated (LPFS-SR) for Criteria A or the Personality Inventory for DSM-5 (PID5) by Krueger et al. for Criteria B, are lengthy, the question arises as to the use of the short tools derived from them. METHOD: Data was collected from a sample of 433 people recruited on a volunteer basis with a complete protocol. The sample was predominantly female (83% female, 16% male, 2 people who did not wish to report their gender) and rather young (67% were 18-24 years old). The short version, the LPFS- BF of Hutsbaut et al., which we used in this work allows, as confirmed by several works, to consider on the basis of 12 items the global level of personality functioning. In order to assess the pathological dimensions of personality (PPD), we chose the short version of the Personality Inventory for DSM 5 (PID 5 BF) by Krueger et al. and used its validated French translation that satisfies the factor composition of the original version: Negative Affectivity, Antagonism, Detachment, Disinhibition and Psychoticism. To assess the intensity of personality disorders we used the dedicated subscale (Items 19 and 20) that the DSM 5 proposes in its Cross-Cutting Symptoms Measures of Level 1, in its French translation. A score higher than 2 was our Gold Standard when we tested the metric capacity of the two questionnaires to evaluate the A Criteria and then the B Criteria of the AMPD. RESULTS: The overall results (Table 1) show levels that place the group in a non-clinical level. In terms of the severity of personality disorders it can be seen that 27 % are at risk of personality disorder (PDs>2). Comparing these two sub-groups (Table 1), we observed significant differences for all the factors studied, pointing towards a higher score for people at risk of PDs. A logistic regression analysis of the evaluation of persons at risk lead us to find that gender and age do not have a significant influence (p=0.225 and p=0.065 respectively) in a valid model (chi square=157, df=4, p<0.001) including the overall score on the LPFS (z=5.76, p<0.001) and the PID 5 (z=2.26, p<0.001). The Area Under the Curve (AUC=0.859) of this translation (Table 3) is consistent with the original version (AUC=0.84). It has metrological qualities (Sn=73.91%, Sp=85.33%, LR+=5.1, LR-=0.3005) that allowed us to use a threshold of 24 as a discriminant of a risk of moderate or severe personality disorder. In addition, if we followed the AMPD and considered the threshold of 24 on the LFPS-BF to be a risk score for personality disorder, we could see (Fig. 2) that the scores on the PID 5 BF fairly well reflected the expected pattern with a large AUC (0.901). According to the AMPD, the cut-points for the dimensions that would evoke the presence of criteria B in the case of the presence of criterion A (LPFS-BF>24) could be either a score greater than 2 for Negative Affectivity, a score greater than 0.8 for Detachment, Antagonism and Disinhibition, or a score greater than 1.2 for Psychoticism (Table 4). DISCUSSION: The translation of the LPFS-BF that we used in this work has sufficient qualities to assess situations at risk of personality disorders when higher than 24. Its consistency was good (=0.84), and its factor composition in two factors (Self and Interpersonal Relations) was equivalent to the original version. The use of PID5-BF could therefore be used as a complement to the screening of AMPD A criteria, with a 25 for cut-point. The evaluation of the AMPD B criteria with the PID5-BF seemed relevant in view of our results; each of the subscales seemed to be able to correctly evaluate (AUC) persons with an LPFS-BF score at risk. However, the risk thresholds need to be confirmed in further work because of the essential role that the dimensions play in the diagnosis of types of personality disorders.

Differential Item Functioning of the Youth Psychopathic Traits Inventory Across Race/Ethnicity and Gender Among a Sample of Justice-Involved Youth: An Item Response Theory Analysis.

Research is yet to examine whether the items of the Youth Psychopathic Traits Inventory (YPI) function equally well across race/ethnicity and gender. The current study applies an item response theory analysis to detect differential item functioning (DIF) of the YPI subscale across White, Black, and Hispanic youth and males and females among a sample of justice-involved youth. Significant DIF was detected for several items between Black youth and White youth and Black youth and Hispanic youth. Few incidences of DIF emerged between White and Hispanic youth and between males and females. The findings suggest that subscales of the YPI provide more information for White and Hispanic youth compared with Black youth. They also suggest that while there was significant DIF in the difficulty of items, the direction of DIF did not substantially favor one group or another. Thus, the findings suggest that the YPI produces comparable estimates of psychopathic traits for females and males and for White and Hispanic youth. However, the results raise concerns about comparing YPI subscale scores between White and Black youth and Hispanic and Black youth. The findings have important implications for the use of the YPI subscales among diverse samples.

Personality assessment with Temperament and Character Inventory in Parkinson's disease.

INTRODUCTION: There is a growing interest in personality evaluation in Parkinson's disease (PD), following observations of specific temperaments in PD patients. Therefore, our objective was to evaluate personality dimensions from the Temperament and Character Inventory (TCI) in a cohort of fluctuating PD patients considered for deep brain stimulation. METHODS: Fluctuating PD patients from the PREDISTIM cohort were included. Description of TCI dimensions and comparison with a French normative cohort were performed. Pearson correlations between TCI dimensions and motor, behavioral and cognitive variables were investigated. Structural and internal consistency analysis of the TCI were further assessed. RESULTS: The 570 PD patients presented significant higher scores in Harm Avoidance, Reward Dependence, Persistence, Self-Directedness and Cooperativeness and significant lower scores in Self-Transcendence compared to the French normative cohort; only Novelty Seeking scores were not different. Harm Avoidance and Self-directedness scores were correlated with PDQ-39 total, HAMD, HAMA scores, and anxiolytic/antidepressant treatment. Novelty Seeking scores were correlated with impulsivity. Pearson correlations between TCI dimensions, principal component analysis of TCI sub-dimensions and Cronbach's alpha coefficients showed adequate psychometric proprieties. CONCLUSION: The TCI seems to be an adequate tool to evaluate personality dimensions in PD with good structural and internal consistencies. These fluctuating PD patients also have specific personality dimensions compared to normative French population. Moreover, Harm Avoidance and Self-Directedness scores are associated with anxio-depressive state or quality of life and, and Novelty Seeking scores with impulsivity.

Risk assessment of the work-related musculoskeletal disorders based on individual characteristics using path analysis models.

BACKGROUND: This study aimed to assess the risk of work-related musculoskeletal disorders (WMSDs) using the path analysis models. METHODS: This study was carried out on 350 office employees with good general health. All variables were collected using a questionnaire. Personality traits and mental workload of employees were evaluated using the NEO Personality Inventory and the NASA-task load index software, respectively. The individual and personality traits were used as predictor variables, and mental workload (MWL) and body posture scores as mediating variables of the musculoskeletal discomforts. The role of predictor and mediating variables on discomforts was explained based on the path analysis models. RESULTS: The impact coefficient of MWL and posture on WMSDs was significant. The coefficient of the direct effect of body mass index (BMI) and gender on musculoskeletal disorders was significant and positive and the women have reported a higher rate of discomforts. The strongest positive impact of personality traits on MWL and posture was conscientiousness, followed by neuroticism and agreeableness. In return, the strongest negative impact was extroversion, followed by openness. The strongest positive impact of individual factors on MWL and posture was BMI, followed by work experience. CONCLUSION: Gender, BMI, neuroticism, extraversion, and conscientiousness can be strong predictors for musculoskeletal discomforts which can mediate the impact of body posture and mental workload (mediating factors) on musculoskeletal discomfort. Therefore, personality and individual traits can be strong alarming and indicators for risk identification and preventing musculoskeletal disorders when choosing people for a job or task.

The Elemental Psychopathy Assessment (EPA): Factor structure and construct validity across three German samples.

Psychopathy is deemed an important construct in forensic settings. Consequently, its theoretical basis and measurement are relevant to researchers but also to criminal justice administrators and decision-makers. The Elemental Psychopathy Assessment (EPA) is a recently developed self-report scale designed to measure psychopathic traits based on the five-factor model, one of the most comprehensive frameworks of general personality. Recent research provided initial support for the reliability and construct validity of the EPA, and exploratory factor analyses yielded a four-factor structure across different samples from the United States. Independent and confirmatory assessments of the construct validity and factor structure of the EPA are, however, pending. Across three independent, non-American samples (accumulated N = 1,803), we examined its content and factorial validity. We corroborated the proposed four-factor structure by means of both exploratory and confirmatory factor analyses (CFA). Item-based CFA further indicated that the EPA items adequately measure the scales that they were initially assigned to. Taken together, the EPA is a psychometrically sound assessment tool for psychopathy. Given its substantial overlap with basic units of personality, the EPA represents a valid instrument to investigate psychopathy from a dimensional, trait-based perspective. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Assessment of "los pequeños" Big Five: The Spanish version of the Big Five Personality Trait Short Questionnaire in adolescents.

The major advantage of the Big Five Personality Trait Short Questionnaire (BFPTSQ) over other noncommercial Five-Factor Model (FFM) personality scales is that it targets both adolescents and adults. The aim of the present study was to explore the psychometric properties of this questionnaire in a Spanish, adolescent sample. The main sample was composed of 1,082 participants (Mage = 14.16, SD = 1.56, age range = 12-17 years), 53% girls. The results showed that the expected factor structure was mostly recovered using exploratory structural equation modeling (ESEM). The ESEM presented satisfactory fit indices, as well as metric invariance and partial scalar invariance across genders. Moreover, coefficient αs and ordinal Ωs of all the scales were over .70, and test-retest indices were significant (p < .001). Regarding the associations of BFPTSQ with a junior FFM inventory, the correlations with the broad-trait scales ranged from .61 to .72, and 29 out of 30 correlations with the facet scales were significant (p < .001). Finally, most of the expected associations between the BFPTSQ scales and the criterion measures (internalizing and externalizing symptom scales, life satisfaction, and academic performance) were confirmed, widely replicating the results found in the development of the original questionnaire. This study supports the construct validity of extraversion, agreeableness, conscientiousness, and emotional stability scales in Spanish-speaking adolescents. However, openness did not emerge as a well-defined factor in the present sample. The questionnaire seems to be a useful and readable measure for research and, potentially, for other applications such as clinical use. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Using the Personality Assessment Inventory-Adolescent in Legal Settings.

The Personality Assessment Inventory-Adolescent (PAI-A; Morey et al., 2007) is a self-report measure of personality and psychopathology appropriate for use with individuals aged 12-18. It is modeled after the Personality Assessment Inventory (PAI; Morey, 1991), a measure widely used with adults in clinical and legal settings. The PAI-A assesses a variety of features that have utility in legal settings, including validity scales that assess approach to testing, clinical scales measuring common types of psychopathology, and treatment consideration scales that provide indicators of treatment motivation and other factors that may be important for predicting outcomes. The PAI-A has been included in a limited number of research studies and few of those have focused on justice-involved youths. Additionally, because juvenile court records are not typically publicly available, there is limited information about the PAI-A available in case law. This manuscript reviews the properties, strengths, and weaknesses of the PAI-A and its existing literature. Factors for mental health and legal professionals to consider in relation to the admissibility of this measure, questioning and cross-examination, and how the PAI-A may be received in court are also discussed.