Clustering Individuals Based on Similarity in Idiographic Factor Loading Patterns.

Idiographic measurement models such as p-technique and dynamic factor analysis (DFA) assess latent constructs at the individual level. These person-specific methods may provide more accurate models than models obtained from aggregated data when individuals are heterogeneous in their processes. Developing clustering methods for the grouping of individuals with similar measurement models would enable researchers to identify if measurement model subtypes exist across individuals as well as assess if the different models correspond to the same latent concept or not. In this paper, methods for clustering individuals based on similarity in measurement model loadings obtained from time series data are proposed. We review literature on idiographic factor modeling and measurement invariance, as well as clustering for time series analysis. Through two studies, we explore the utility and effectiveness of these measures. In Study 1, a simulation study is conducted, demonstrating the recovery of groups generated to have differing factor loadings using the proposed clustering method. In Study 2, an extension of Study 1 to DFA is presented with a simulation study. Overall, we found good recovery of simulated clusters and provide an example demonstrating the method with empirical data.

Illegitimate work tasks: an investigation of psychometric properties of the Swedish version of the BITS instrument and its suitability in human versus 'non-human' service occupations.

BACKGROUND: Illegitimate tasks, i.e. working tasks that are perceived as unnecessary or unreasonable, are commonly measured by the Bern Illegitimate Tasks Scale (BITS). Despite a growing research attention paid to illegitimate tasks, the Swedish version of BITS needs yet to be properly evaluated. Moreover, previous multiorganizational studies in this field have taken for granted, without really testing it, that the instrument functions invariantly in different contexts; a prerequisite for meaningful comparisons. METHODS: Two occupational groups that differs hugely-966 human services workers (teachers and registered nurses) and 750 non-'human service' workers (construction and IT-workers) were targeted utilizing questionnaires data collected 2018 within the Swedish Longitudinal Occupational Survey of Health (SLOSH) study. Psychometric properties, i.e., reliability, dimensionality, and measurement invariance between the occupations were examined using confirmatory factor analyses and structural equation models. Also, the associations between the two dimensions of illegitimate tasks and job satisfaction and emotional exhaustion, respectively, were tested. RESULTS: Good reliability was supported and two- versus one-dimensionality showed better psychometric properties. Partial scalar measurement invariance was satisfactory supported with only 25% relaxed constraints of equal intercepts between groups. Examining the two subdimensions revealed different associations with emotional exhaustion, where the associations was more substantial for unreasonable tasks. Nevertheless, the findings point to potential improvements for future investigation. CONCLUSIONS: This study shows that the Swedish version of BITS is working satisfactory and allows for meaningful comparisons of occupational groups. Furthermore, construct validity of the two dimensions was corroborated.

Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults.

BACKGROUND: Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits differently based on gender alone, their validity may be compromised as they may not be measuring the same construct across genders. Measurement invariance investigations of autism measures can help assess the validity of autism constructs for different genders. The aim of this systematic review is to identify and critically appraise the psychometric properties of all self-report tools for autism in adults that meet two criteria: (a) they have been published since or included in the NICE (2014) recommendations, and (b) they have undergone gender-related measurement invariance investigations as part of their validation process. METHODS: A search of electronic databases will be conducted from 2014 until the present using MEDLINE, Embase, and PsycINFO using predefined search terms to identify eligible studies. The search for grey literature will include sources such as OpenGrey, APA PsycEXTRA, and Scopus. Two reviewers will independently screen titles, abstracts, and full texts for eligibility. The references of included studies will be searched for additional records. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, while psychometric quality of findings will be assessed based on criteria for good measurement properties and ConPsy checklist. The quality of the total body of evidence will be appraised using the approach outlined in the modified GRADE guidelines. DISCUSSION: This systematic review will be among the first to assess the psychometric properties and gender-related measurement invariance of self-reported measures for autism in adults that were published since (or included in) NICE (2014) guidelines. The review will provide recommendations for the most suitable tool to assess for autism without gender bias. If no such measure is found, it will identify existing tools with promising psychometric properties that require further testing, or suggest developing a new measure. SYSTEMATIC REVIEW REGISTRATION: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023429350.

Is the Epworth Sleepiness scale a valid outcome measure to evaluate the effectiveness of positive airway pressure treatments on daytime sleepiness? Psychometric insights from measurement invariance and response shifts.

PURPOSE: Although the validity of the Epworth Sleepiness Scale (ESS) as an effectiveness measure for sleep apnea treatments such as continuous positive airway pressure (CPAP) has been supported by multiple studies, some researchers continue to challenge it. They suggest that in addition to its impact on relieving patients' daytime sleepiness, CPAP also alters the internal standards patients use to evaluate their sleepiness (i.e., response shift; RS), confounding the meaning of the difference in the ESS scores. We believe an issue yet to be addressed in this debate is that all existing evidence of RS has been obtained through the then-test approach, a retrospective method sensitive to various cognitive mechanisms. Thus, in the current study, we re-examined this issue using the structural equation modeling (SEM) approach, a method that can be directly applied to randomized clinical trial (RCT) data without retrospective measures. METHODS: With the ESS data from two independent RCTs, we conducted cross-sectional and longitudinal measure invariance tests in SEM to examine whether CPAP would lead to RS. RESULTS: The ESS demonstrated cross-sectional and longitudinal scalar invariance against CPAP treatments. Its factorial pattern, loadings, and thresholds were invariant between the treatment and control groups and pre- and post-treatment, supporting the comparability of the observed mean ESS scores across time and groups. CONCLUSION: Our results support the validity of the average difference scores of the ESS for quantifying the effectiveness of CPAP on group-level daytime sleepiness in RCTs with relatively large sample sizes.

Longitudinal measurement invariance and psychometric properties of the Patient Health Questionnaire-Four in China.

BACKGROUND: Depression and anxiety symptoms among medical students are often a concern. The Patient Health Questionnaire-Four (PHQ-4), an important tool for depression and anxiety screening, is commonly used and easy to administer. This study aimed to assess and update the longitudinal measurement invariance and psychometric properties of the simplified Chinese version. METHODS: A three-wave longitudinal survey was conducted among healthcare students using the PHQ-4. Structural validity was based on one-factor, two-factor, and second-order factor models, construct validity was based on the Self-Rated Health Questionnaire (SRHQ), Sleep Quality Questionnaire (SQQ), and Rosenberg Self-Esteem Scale (RSES), and longitudinal measurement invariance (LMI), internal consistency, and test-retest reliability were based on structural consistency across three time points. RESULTS: The results of the confirmatory factor analysis indicated that two-factor model was the best fit, and LMI was supported at three time points. Inter-factor, factor-total, and construct validity correlations of the PHQ-4 were acceptable. Additionally, Cronbach's alpha, McDonald's omega, and the intraclass correlation coefficient demonstrated acceptable/moderate to excellent reliability of the PHQ-4. CONCLUSIONS: This study adds new longitudinal evidence that the Chinese version of the PHQ-4 has promising LMI and psychometric properties. Such data lends confidence to the routine and the expanded use of the PHQ-4 for routine screening of depression and anxiety in Chinese healthcare students.

A longitudinal examination of the measurement properties and invariance of the Sleep Condition Indicator in Chinese healthcare students.

BACKGROUND: The Sleep Condition Indicator (SCI), an insomnia measurement tool based on the updated Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria with sound psychometric properties when applied in various populations, was evaluated here among healthcare students longitudinally, to demonstrate its measurement properties and invariance in this particularly high-risk population. METHODS: Healthcare students of a Chinese university were recruited into this two-wave longitudinal study, completing the simplified Chinese version of the SCI (SCI-SC), Chinese Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration (RU_SATED-C) scale, Chinese Patient Health Questionnaire-4 (PHQ-4-C), and sociodemographic variables questionnaire (Q-SV) between September and November 2022. Structural validity, measurement invariance (MI), convergent and discriminant validity, internal consistency, and test-retest reliability of the SCI-SC were examined. Subgroups of gender, age, home location, part-time job, physical exercise, and stress-coping strategy were surveyed twice to test cross-sectional and longitudinal MI. RESULTS: We identified 343 valid responses (62.9% female, mean age = 19.650 ± 1.414 years) with a time interval of seven days. The two-factor structure was considered satisfactory (comparative fit index = 0.953-0.989, Tucker-Lewis index = 0.931-0.984, root means square error of approximation = 0.040-0.092, standardized root mean square residual = 0.039-0.054), which mostly endorsed strict invariance except for part-time job subgroups, hence establishing longitudinal invariance. The SCI-SC presented acceptable convergent validity with the RU_SATED-C scale (r ≥ 0.500), discriminant validity with the PHQ-4-C (0.300 ≤ r < 0.500), internal consistency (Cronbach's alpha = 0.811-0.835, McDonald's omega = 0.805-0.832), and test-retest reliability (intraclass correlation coefficient = 0.829). CONCLUSION: The SCI-SC is an appropriate screening instrument available for assessing insomnia symptoms among healthcare students, and the promising measurement properties provide additional evidence about validity and reliability for detecting insomnia in healthcare students.

Validation of the extended e-health literacy scale: structural validity, construct validity and measurement invariance.

BACKGROUND: Given the rapid proliferation and use of online health resources, many of which may be of dubious quality, there is an increasing need to develop electronic health literacy (e-health literacy) skills among the population of internet users. E-health literacy encompasses the skills and abilities needed to access, understand, validate, evaluate, interpret, and apply online health-related information. Measuring e-health literacy has become crucial for developing targeted interventions, assessing their impact, and producing high-quality research findings that can inform health policy and clinical practice, which can lead to improved health outcomes and potentially reducing health inequalities. The scales need to be valid and reliable so that decisions are based on high-quality data. In this regard, the issue of the measurement invariance of scales across different demographic groups has been neglected. This is critical, as assessments should be valid across different sociodemographic groups to avoid bias when comparing them. The aim of this study was to validate the Extended e-health literacy scale (eHEALS-E) on general population and investigate its structural validity and internal consistency, construct validity in terms of convergent and discriminant validity, and examine its measurement invariance across gender, age, education and social status. METHODS: The data were collected as a part of a national health literacy survey conducted by the Slovenian National Institute of Public Health. For this survey the initial eHEALS-E scale was revised in order to address its limitations and applicability to general population. Based on a nationally representative sample, the final sample for the analysis comprised 1,944 individuals who at least occasionally used one of the various internet services to obtain health-related information. Multiple group confirmatory factor analysis was used to examine the measurement invariance of the scale. RESULTS: With some adjustments, the measurement model of the revised 6-dimensional eHEALS-E scale demonstrated a good fit to the data (χ2 = 2508, df = 282, RMSEA = 0.064, SRMR = 0.070, CFI = 0.90). The scale had good internal consistency (alpha = 0.89). Although evidence of the scale's convergent and discriminant validity was partially provided, the analysis revealed robust measurement invariance across sociodemographic groups. CONCLUSIONS: With a minor limitation, the scale ensures an unbiased e-health literacy assessment across different social groups, which is crucial for interventions that aim to reduce health-related social inequalities. This ensures that the interventions derived from the assessment of reality are equally valid and effective for everyone, regardless of their sociodemographic background.

Psychometric Properties of the Chinese Version of the Core Symptom Index: A Study among Chinese Parents of Children with Autistic Spectrum Disorders.

(1) Background: Parents of children with autism spectrum disorders often experience psychological distress, which can affect the quality of childcare they provide. It is crucial to screen for psychiatric symptoms among these parents. The core symptom index (CSI) is a widely recognized tool used to assess general symptoms, including depression, anxiety, and somatic issues. It has proven validity and reliability across diverse Thai populations. Given the cultural similarities between Thai and Chinese populations, the CSI has been successfully implemented within the Chinese population. Nevertheless, it is crucial to research its validity and reliability in the general Chinese population. This study aimed to investigate the psychometric properties of the Chinese version of the CSI among parents of children with autism spectrum disorders using confirmatory factor analysis (CFA). (2) Methods: A total of 794 Chinese parents raising children with autism participated in this study. All completed the CSI, along with the social inhibition subscale of the Interpersonal Problems Inventory and the Couple Satisfaction Index. Factorial validity was assessed using CFA to determine how well the bifactor three-factor model fits the data. Various structural models were compared using model fit indices. Convergent and discriminant validity were examined by exploring correlations with the social inhibition subscale and the Couple Satisfaction Index. Invariance testing of the CSI was conducted across multiple groups based on gender, age, and education using CFA. The reliability of the CSI was evaluated using McDonald's omega coefficients. (3) Results: The bifactor model emerged as the best-fitting model for the data, suggesting that the total score of the CSI adequately represents overall psychiatric symptoms. The CSI exhibited significant correlations with the social inhibition subscale (r = 0.41, p < 0.01) and smaller correlation coefficients with the Couple Satisfaction Index (r = -0.16, p < 0.05), indicating both convergent and discriminant validity. The invariant test results support scalar invariance levels based on gender and age but only partial invariance for education. The Chinese version of the CSI demonstrated high consistency, with McDonald's omega coefficients ranging between 0.86 and 0.95. (4) Conclusions: The bifactor model of the Chinese version of the CSI is validated, making it a suitable tool for measuring depression, anxiety, and somatization symptoms among parent(s) of children with autism spectrum disorders. Further research on other Chinese populations is encouraged.

Exploring age-related differences in metacognitive self-regulation: the influence of motivational factors in secondary school students.

Introduction: Metacognitive self-regulation is a crucial factor that promotes students' learning and achievement. However, the evidence regarding age differences in metacognitive skills is rather mixed, with some evidence pointing toward further refinement and development and other evidence suggesting declining levels. Academic motivation, an important antecedent of metacognitive self-regulation, has also been reported to decline steeply in adolescence. Hence, this raises the question whether there are any age-related differences in academic motivation and metacognitive self-regulation of adolescents and whether age differences in academic motivation drive decreases in metacognitive self-regulation. Method: A large sample size of 1,027 Greek adolescents (ages 12-16, M age = 13.95, SD = 0.78) was utilized in the present study. Multigroup measurement invariance analyses were deployed to compare the latent means of motivational factors (self-efficacy, task value, mastery, and performance goals) and metacognitive self-regulation across age groups. Cholesky decomposition was applied to test the independent contribution of motivational factors to and the indirect effects of age on metacognitive self-regulation. Results: Invariance analyses revealed scalar invariance for metacognitive self-regulation, language self-efficacy, mastery and performance goal orientations and partially scalar invariance for task value. Older adolescents scored lower on metacognitive self-regulation, mastery and performance goals, and self-efficacy. Older students scored lower on metacognitive self-regulation via indirect effects through Cholesky decomposed motivational factors. Discussion: Self-efficacy, mastery and performance goals, and task value are similarly understood across adolescents in different age groups. Decreased mastery and performance goals and task value can lead to reduced metacognitive self-regulation in adolescents. The implications of the findings underscore the key role of making students more engaged with lessons' content in order to promote greater academic motivation and prevent decreases in metacognitive self-regulation.

Psychometric properties and measurement invariance of the Chinese version of the cognitive emotion regulation questionnaire-short in patients with cancer.

OBJECTIVE: The study aimed to evaluate the psychometric properties and measurement invariance (MI) of the Chinese version of the cognitive emotion regulation questionnaire-short (CERQ-short) in cancer patients. METHODS: This cross-sectional study included 505 cancer patients from mainland China. In addition to sociodemographic and clinical characteristics, the CERQ-short and the distress thermometer were included in the study measures. RESULTS: Item analysis indicated a promising result. And the results of CFA indicated that the CERQ-short demonstrated satisfactory factorial validity in cancer patients. Cronbach's alpha coefficients were between 0.663 and 0.910, while McDonald's omega coefficients were between 0.664 and 0.910. The CERQ-short had sufficient convergent, discriminant and concurrent validity among cancer patients. Lastly, MI supported that the CERQ-short demonstrated strong measurement equivalence across gender, residence and age. CONCLUSIONS: This study shows that the Chinese version of the CERQ-short has convincing psychometric properties and MI, which supports its use in cancer patients.

Validation of the Malay version of the Patient Health Questionnaire-4 (PHQ-4) among Malaysian undergraduates.

The study's objective is to validate the Malay version of the Patient Health Questionnaire-4 (PHQ-4) among Malaysian undergraduates. A cross-sectional survey was distributed at three universities in Malaysia (N = 500; mean age = 21.66 ± 1.57). The internal consistency of the Malay PHQ-4 was acceptable (α = .78, 95 % CI [.74, .81]), while the test-retest reliability was good (ICC = .77, 95 % CI [.34, .91], p < .001). The one-factor structure showed the best fit in confirmatory factor analysis and was similar across sexes. The Malay PHQ-4 has acceptable psychometric properties and can be used for pre-clinical screening purposes among Malaysian undergraduate students.

Comparing RMSEA-Based Indices for Assessing Measurement Invariance in Confirmatory Factor Models.

Fit indices are descriptive measures that can help evaluate how well a confirmatory factor analysis (CFA) model fits a researcher's data. In multigroup models, before between-group comparisons are made, fit indices may be used to evaluate measurement invariance by assessing the degree to which multiple groups' data are consistent with increasingly constrained nested models. One such fit index is an adaptation of the root mean square error of approximation (RMSEA) called RMSEAD. This index embeds the chi-square and degree-of-freedom differences into a modified RMSEA formula. The present study comprehensively compared RMSEAD to ΔRMSEA, the difference between two RMSEA values associated with a comparison of nested models. The comparison consisted of both derivations as well as a population analysis using one-factor CFA models with features common to those found in practical research. The findings demonstrated that for the same model, RMSEAD will always have increased sensitivity relative to ΔRMSEA with an increasing number of indicator variables. The study also indicated that RMSEAD had increased ability to detect noninvariance relative to ΔRMSEA in one-factor models. For these reasons, when evaluating measurement invariance, RMSEAD is recommended instead of ΔRMSEA.

Measurement Invariance of the HEXACO-100 Across Gender Groups: A Three-Sample Study.

We used exploratory structural equation modeling to examine gender-based measurement invariance (MI) in the HEXACO-100 across three samples that varied in terms of age (undergraduate students in Study 1, working adults in Studies 2 and 3) and testing context (research context in Studies 1 and 2, high-stakes selection context in Study 3). Across three studies, we consistently found support for configural and metric invariance but not scalar invariance. However, the effect size measures of non-invariance were generally small. That said, in the Emotionality scale, for the same latent score, females scored higher than males due to measurement non-invariance (between 0.26 and 0.48 standard deviation units). Thus, the observed mean gender differences overestimated the true mean gender differences. The current study provides detailed evidence regarding gender-based MI of HEXACO personality scales. More generally, it provides insight regarding the effect that measurement artifacts can have on understanding psychological gender differences at the latent level.

Evaluating the factor structure and measurement invariance of the 20-item short version of the UPPS-P Impulsive Behavior Scale across multiple countries, languages, and gender identities.

The UPPS-P Impulsive Behavior Model and the various psychometric instruments developed and validated based on this model are well established in clinical and research settings. However, evidence regarding the psychometric validity, reliability, and equivalence across multiple countries of residence, languages, or gender identities, including gender-diverse individuals, is lacking to date. Using data from the International Sex Survey (N = 82,243), confirmatory factor analyses and measurement invariance analyses were performed on the preestablished five-factor structure of the 20-item short version of the UPPS-P Impulsive Behavior Scale to examine whether (a) psychometric validity and reliability and (b) psychometric equivalence hold across 34 country-of-residence-related, 22 language-related, and three gender-identity-related groups. The results of the present study extend the latter psychometric instrument's well-established relevance to 26 countries, 13 languages, and three gender identities. Most notably, psychometric validity and reliability were evidenced across nine novel translations included in the present study (i.e., Croatian, English, German, Hebrew, Korean, Macedonian, Polish, Portuguese-Portugal, and Spanish-Latin American) and psychometric equivalence was evidenced across all three gender identities included in the present study (i.e., women, men, and gender-diverse individuals).

Factorial invariance of the Wechsler Intelligence Scale for Children, Fifth Edition, across the UK, US and Australia & New Zealand.

OBJECTIVES: This study examined the factorial invariance of the factor structure of the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across the UK, US and Australia & New Zealand (A&NZ). The factorial equivalence of cognitive assessments should be demonstrated before assuming cross-culture generalizability and interpretations of score comparisons. METHODS: Data were obtained from the UK, US and A&NZ normative standardizations of the WISC-V. The samples consisted of 415 UK, 2200 US and 528 A&NZ children, aged 6-16. Confirmatory factor analysis was applied separately in each sample to establish the baseline model. Next, tests of factorial invariance were undertaken using the recommended hierarchical approach, firstly across the UK and A&NZ samples and then across the UK and US samples. RESULTS: The five-factor first-order scoring model was found to be excellent fit across all three samples independently. Strict factorial invariance of the WISC-V was demonstrated firstly across the UK and A&NZ and secondly the UK and US nationally representative standardization samples. Comparison of latent means found small but significant differences in female children across the UK and A&NZ samples. CONCLUSIONS: Consistent with previous research, these results demonstrate the generality of the WISC-V factor structure across the UK, US and A&NZ. Furthermore, as the WISC-V factor structure aligns with the Cattell-Horn-Carroll (CHC) model of cognitive abilities, the results add further support to the cross-cultural generalizability of the CHC model. Small but significant differences in latent factor scores found across samples support the development and use of local normative data.

Psychometric property and measurement invariance of perceived benefits and barriers of physical activity in Chinese adolescents.

Background: The perceived benefits and barriers to physical activity play crucial roles in determining daily physical activity levels. However, previous studies have employed tools lacking adequate validation, leading to inconsistent conclusions about the impact of these two factors. Therefore, this national, population-based study was conducted to assess the psychometric properties, measurement invariance, and predictive validity of the Chinese versions of the perceived benefits (C-PBEPA) and barriers to physical activity (C-PBAPA) scales. Methods: The final sample (N = 2942, 49.3 % for boys) was randomly split into two subsamples. The first subsample was used for exploratory factor analysis and the second subsample was used for confirmatory factor analysis. Measurement invariance across gender and age groups were examined. Structural equation models were developed to examine the predictive validity of the revised C-PBEPA and C-PBAPA on moderate to vigorous PA. Results: The results showed that both scales were unidimensional, had excellent model fit (e.g., X 2/df < 3, CFI >0.9, RMSEA <0.06) and demonstrated convergent validity. Findings also revealed lack of scalar invariance for C-PBAPA between preadolescents and adolescents' groups (ΔCFI >0.01) and supported the predictive validity of both scales (p < 0.001). Conclusion: The study demonstrated that the revised C-PBEPA and C-PBAPA are valid scales for measuring Chinese adolescents' perceived benefits and barriers to PA.

Psychometric properties of anxiety sensitivity Index-3 among Chinese college students and its preliminary application among this population experiencing campus lockdown.

PURPOSE: Anxiety sensitivity (AS) refers to fear of anxiety-related sensory arousal and has been revealed to be associated with increased psychological distress and mental problems. Although Anxiety Sensitivity Index-3 (ASI-3) has been confirmed to be effective in evaluating this construct, whether it is consistently applicable in college students is still elusive. The present study aimed to examine the psychometric properties and measurement invariance of Chinese version of ASI-3 (C-ASI-3) among college students experiencing campus lockdown due to novel coronavirus disease 2019 (COVID-19) pandemic. METHODS: A total of 1532 Chinese college students (397, 25.9% males) aged between 16 and 25 were included in this study. Confirmatory factor analysis (CFA) was used to verify the factor structure of C-ASI-3. Multi-group CFA was conducted for analysis of measurement invariance with regard to gender. McDonald's omega values were computed for examination of scale reliability. For criterion, convergent, and divergent validity, average variance extracted (AVE) values for C-ASI-3 subscales, difference between square root of AVE for each factor and inter-factor correlation, as well as pearson correlation and partial correlation between the C-ASI-3 and other three scales, including the Depression, Anxiety, and Stress Scale-21 (DASS-21), the State-Trait Anxiety Inventory (STAI), and the Fear of COVID-19 scale (FCV-19 S) were evaluated. RESULTS: The C-ASI-3 presented a three-factor scale structure with fit indices being as follows: χ2/df = 11.590, CFI = 0.938, RMSEA = 0.083, SRMR = 0.042. Strict measurement invariance was reached across gender. Regarding convergent validity, the C-ASI-3 had a high correlation with the DASS-21 (r = 0.597, p < 0.01) and the STAI (r = 0.504, p < 0.01). All AVE values for C-ASI-3 subscales were above 0.5. In terms of divergent validity, the C-ASI-3 had medium correlation with the FCV-19 S (r = 0.360, p < 0.01). Square of root of AVE for each factor was higher that inter-factor correlation. McDonald's omega values of the three dimensions ranged from 0.898 ~ 0.958. CONCLUSION: The C-ASI-3 has acceptable psychometric properties among college students. College students with different gender have consistent understanding on the scale construct.

The peer mental health stigmatization scale-revised (PMHSS-R): Psychometric properties and cross-cultural factorial invariance in university students in Ireland and Argentina.

INTRODUCTION: The study aimed to assess the psychometric quality of the Peer Mental Health Stigmatization Scale - Revised (PMHSS-R), by examining its factorial structure among young adults in Ireland and Argentina. METHOD: A total of 429 participants aged between 18 and 25 years old were recruited (n = 187 Ireland, n = 242 Argentina). The PMHSS-R was completed by Irish participants and was translated, pilot-studied, and subsequently completed by Argentinian participants. RESULTS: A Confirmatory Factor Analysis demonstrated optimal factor loadings for an eight-item solution and acceptable internal consistency for both scale dimensions in the Argentinian sample. Satisfactory levels of partial scalar invariance were achieved between countries, indicating that the scale measures mental health stigma consistently across cultures. DISCUSSION AND CONCLUSIONS: Our findings highlight the PMHSS-R as a cross-culturally valid and reliable psychometric instrument to evaluate interventions targeting stigma. In conclusion, the PMHSS-R can be used in cross-cultural research to compare levels of mental health stigma and investigate the interplay between stigma and other psychologically relevant constructs between different countries and cultural contexts.

Gender, racial-ethnic, and socioeconomic disparities in the development of social-emotional competence among elementary school students.

Social-emotional competence (SEC) has been demonstrated to be a crucial factor for student mental health and is malleable through the high-quality implementation of effective school-based social and emotional learning (SEL) programs. SEL is now widely practiced in the United States as a Tier 1 strategy for the entire student body, yet it remains unclear whether disparities exist in the development of SEC across socio-culturally classified subgroups of students. Also, despite the field's widespread concern about teacher bias in assessing SEC within diverse student bodies, little evidence is available on the measurement invariance of the SEC assessment tools used to explore and facilitate SEC development. Based on a sociocultural view of student SEC development, this study aimed to measure and examine the extent to which gender, racial-ethnic, and socioeconomic disparities exist in SEC developmental trajectories during elementary school years. Specifically, using 3 years of SEC assessment data collected from a districtwide SEL initiative (N = 5452; Grades K-2 at baseline; nine measurement occasions), this study (a) tested the measurement invariance of a widely-used, teacher-rated SEC assessment tool (DESSA-Mini) across student gender, race and ethnicity, and socioeconomic status (SES); and (b) examined the extent to which multiyear SEC growth trajectories differed across these subgroups under a routine SEL practice condition. The invariance testing results supported strict factorial invariance of the DESSA-Mini across all the examined subgroups, thereby providing a foundation for valid cross-group comparisons of student SEC growth. The piecewise latent growth modeling results indicated that boys (vs. girls), Black students (vs. White students), Hispanic students (vs. White students), and low-income students (vs. middle-to-high-income students) started with a lower level of SEC, with these gaps being sustained or slightly widened throughout 3 elementary school years. Based on these findings, this study calls for future research that can inform practice efforts to ensure equitable SEC assessments and produce more equitable SEL outcomes, thereby promoting equity in school mental health.

Using moderated nonlinear factor models to adjust for differential item functioning in the Student-Teacher Relationship Scale from kindergarten to Grade 6.

Prior research has demonstrated that children form developmentally salient relationships with teachers and that these relationships are uniquely predictive of subsequent functioning both in and outside of school. However, prior work estimating trajectories and predictors of teacher-student relationship quality has failed to test and adjust for bias in questionnaire items. The present study used longitudinal data from the NICHD Study of Early Child Care and Youth Development (SECCYD; N = 1140) to test and adjust for measurement bias in the Student-Teacher Relationship Scale (STRS; Pianta, 2001) across grades (K-6) and sociodemographic characteristics (i.e., birth sex, race/ethnicity, family income-to-needs ratio, and maternal education) to generate less biased estimates of trajectories of teacher-student relationship quality. Results identified differential item functioning for three of seven STRS items assessing conflict and three of eight STRS items assessing closeness, with items functioning differentially across child grade, birth sex, race/ethnicity, and maternal education level. Comparisons of growth models using non-adjusted and adjusted STRS scores highlight substantive differences between scoring approaches, such that the effects of race/ethnicity, maternal education, and maternal sensitivity on teacher-student relationship quality were masked prior to adjusting for item bias. These findings demonstrate the importance of testing and correcting for item bias in questionnaire-based assessments of teacher-student relationship quality to ensure valid conclusions.