Assessment最新文献

Psychological distress often onsets during adolescence, necessitating an accurate understanding of its development. Assessing change in distress is based on the seldom examined premise of longitudinal measurement invariance (MI). Thus, we used three waves of data from Next Steps, a representative cohort of young people in the UK (N = 13,539) to examine MI of the General Health Questionnaire-12 (GHQ-12). We examined MI across time and gender from ages 15 to 25 in four competing latent models: (a) a single-factor model, (b) a three-factor correlated model, (c) a bifactor model of "general distress" and two orthogonal specific factors capturing positive and negative wording, and (d) a single-factor model including error covariances of negatively phrased items. We also tested acceptability of assumptions underlying sum score models. For all factor models, residual MI was confirmed from ages 15 to 25 years and across gender. The bifactor model had the best fit. While sum score model fit was not unequivocally acceptable, most mean differences across time and gender were equivalent across sum scores and latent difference scores. Thus, GHQ-12 sum scores may be used to assess change in psychological distress in young people. However, latent scores appear more accurate, and model fit can be improved by accounting for item wording.

Latent variable modeling as a lens for psychometric theory is a popular tool for social scientists to examine measurement of constructs. Journals, such as Assessment regularly publish articles supporting measures of latent constructs wherein a measurement model is established. Confirmatory factor analysis can be used to investigate the replicability and generalizability of the measurement model in new samples, while multigroup confirmatory factor analysis is used to examine the measurement model across groups within samples. With the rise of the replication crisis and "psychology's renaissance," interest in divergence in measurement has increased, often focused on small parameter differences within the latent model. This article presents visualizemi, an R package that provides functionality to calculate multigroup models, partial invariance, visualizations for (non)-invariance, effect sizes for models and parameters, and potential replication rates compared with random models. Readers will learn how to interpret the impact and size of the proposed non-invariance in models with a focus on potential replication and how to plan for registered reports.

In LGBTQIA+ adults, 36% are parents, but there are a limited number of parenting scales that have undergone psychometric evaluation in LGBTQIA+ parents. This study assessed the Multidimensional Assessment of Parenting Scale (MAPS) in LGBTQIA+ parents, addressing a gap in parenting scales considering both positive and negative aspects for this group. Our study includes two racially and ethnically diverse national samples of parents (n = 2,299, mean age = 37.05 years, 32.84% LGBTQIA+). We explored measurement invariance between LGBTQIA+ and non-LGBTQIA+ parents. The analysis revealed a modest fit for configural and metric invariance, indicating the MAPS structure and item loadings were consistent across groups, although scalar invariance was only partially supported. Subscales showed good internal consistency for both parent groups. Importantly, following false discovery rate corrections, interactions between LGBTQIA+ status and specific MAPS subscales (supportiveness, physical control) were significantly, but differentially, related to various child psychopathology dimensions, suggesting parenting impacts may differ for LGBTQIA+ families. These findings underscore the importance of including LGBTQIA+ perspectives in parenting research to develop tailored interventions that address their unique strengths and challenges. Acknowledging and supporting the diverse experiences of LGBTQIA+ parents can enhance targeted resources and interventions, contributing to better outcomes for all families.

With the advent of the new diagnostic model for personality disorders in the 11th revision of the International Classification of Diseases (ICD-11), researchers and practitioners in World Health Organization signatory countries are urged to implement it. This study aims to develop a brief, reliable, and valid scale for assessing maladaptive personality traits according to the ICD-11 model, using the item pool of the Dimensional Clinical Personality Inventory (IDCP-2). Quantitative and qualitative criteria for item selection were applied to a sample of 251 Brazilian adults. As a result, the 25 items (five items per factor) were selected, demonstrating promising evidence of validity based on the internal structure with a database of 1,659 Brazilian adults. In addition, we found good evidence of validity based on relationships with external variables, particularly those related to personality pathology, in a sample of 617 Brazilian adults. The implications of these findings are discussed.

The Multidimensional Jealousy Scale is the standard instrument to assess cognitive, emotional, and behavioral jealousy. We examined competing factor models and external correlations with broad and narrow traits. Across two studies, we analyzed four samples (N_total = 2,117). Confirmatory factor analysis supported the measurement model of three correlated factors in comparison to unidimensional, second-order, and bifactor models. Thus, speaking against the use of a total score. Furthermore, we found measurement invariance between romantic partners. We extended the Multidimensional Jealousy Scale (MJS)' nomological net to personality pathology and replicated prior findings of associations with broad and narrow traits. Study 2 examined longitudinal data (5- to 9-month lag) from couples. Actor-Partner Interdependence Model analyses showed that the MJS predicts facets of relationship satisfaction in actors and partners. We discuss potential avenues for revising the MJS (e.g., heteronormative item wordings).

The NIMH Research Domain Criteria (RDoC) initiative seeks to utilize multidimensional patterns of socio-cognitive behavior to improve understanding of mental illness. We aimed to evaluate the psychometric properties of a subset of RDoC tasks. Specifically, we investigated two positive valence tasks and five cognitive tasks. Participants (N = 320) were recruited through an online research platform. We used generalizability theory to estimate reliability, and factor analysis to examine factor structure. Reliability was average to excellent with some notable exceptions. Factor analysis results raised concerns about whether the factor structure of task scores aligns with the proposed RDoC model. Effects of cognitive manipulations generally supported the construct representation of tasks. Results indicate that the majority of RDoC task scores examined have acceptable reliability or can be made reliable through modest increases in task length. Future research in diverse populations is needed to better understand the factor structure of RDoC cognitive and positive valence measures.

This study involved a psychometric evaluation of the Short Executive Function Scale (SEFS), a new 15-item self-report questionnaire measuring five constructs: Planning, Inhibition, Working Memory, Shifting, and Emotional Control. Participants included 717 U.S. undergraduate students (M = 18.9 years old, SD = 1.9; 78.8% cisgender female, 81.7% White) who completed the SEFS. A subset of 156 participants (M = 18.8 years old, SD = 0.9; 79.5% cisgender female, 83.3% White) completed the SEFS again at 2- to 3-month retest along with the Behavior Rating Inventory of Executive Function-Adult (BRIEF-A) and the Patient Health Questionnaire (PHQ-8). The five-factor model fit well (CFI = 0.941, RMSEA = 0.079) and each scale had acceptable internal consistency (ω range: .68-.81) and test-retest reliability (ICC range: .75-.89). Apart from Shifting, all SEFS scales had significantly larger convergent validity coefficients with their respective BRIEF-A scales (r range: -.25 to -.70) than discriminant validity coefficients with the PHQ-8 (r range: -.06 to -.28). These findings provide preliminary psychometric support for the SEFS.

Adults with clinical anxiety have significant symptom overlap and above average rates of attention-deficit/hyperactivity disorder (ADHD). Despite this, ADHD remains a vastly under-detected disorder among this population, indicating the need for a screener with well-understood symptom dimensions and good discriminant validity. The current study compared competing models of ADHD as well as discriminant properties of self-reported ADHD symptoms as measured by the Adult ADHD Self-Report Scale (ASRS-v1.1) in 618 adults with clinical anxiety. A three-factor correlated model of Inattention, Impulsivity, and Hyperactivity, with the movement of one item, talks excessively, to a factor of Impulsivity from Hyperactivity fit better than the one-factor, two-factor, and traditional three-factor models of ADHD. Discriminant properties of the screener were fair to good against measures of clinical anxiety and distress; however, some items within the Hyperactivity factor (e.g., difficulty relaxing; feeling driven by a motor) loaded more strongly onto factors of clinical anxiety than ADHD when measures were pooled together. These results suggest that clinicians making differential diagnoses between adult ADHD and anxiety or related disorders should look for evidence of ADHD beyond the overlapping symptoms, particularly for those within the Hyperactivity factor.

Interoception (e.g., abilities to recognize/attend to internal sensations) is robustly associated with psychopathology. One form of interoception, body trust, is relevant for the development of disordered eating and suicidal thoughts/behaviors. However, measures of body trust are narrow, despite research suggesting body trust is multifaceted. The aim of this study was to develop a comprehensive measure of body trust: The Body Trust Scale (BTS). 479 U.S. adults completed self-report surveys containing the BTS and psychopathology measures. Exploratory and confirmatory factor analyses revealed a three-factor structure: Comfort with One's Body, Physical Attractiveness, and Comfort with Internal Sensations. Factors showed strong construct, convergent, and divergent validity, as well as moderate predictive validity for suicidal thoughts/non-suicidal self-injury. Furthermore, factors showed strong internal consistency, test-retest reliability, and were invariant across the gender binary. The BTS can be used in research and clinical settings to understand how specific facets of body trust relate to psychopathology.

Noncompletion of ecological momentary assessment (EMA) surveys is a common issue and may yield bias in results if not properly handled. Using data observed at scheduled times as well as data retrieved later to fill missing responses, this study aims to investigate predictors of EMA completion, including demographic characteristics, time-related factors, and momentary experiences/behaviors. Data were from a 30-day EMA study including 145 women currently experiencing intimate partner violence (IPV) and using substances. The average rate of EMA completion was initially 51.4% at the scheduled times and increased to 72.6% after incorporating data from later-retrieved surveys. Participants who were younger, had more children, or had lower mean levels of negative affect dysregulation showed lower completion rates. At the momentary survey level, more days into the study and afternoon/evening reports (vs. morning reports) were associated with lower completion; lower levels of negative affect dysregulation, less smoking or alcohol use, and experiencing IPV were linked to lower momentary completion. Implications of the results for handling missing data in EMA are discussed and have important ramifications for future research, practice, and theory.