(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.

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.

Gender inequitable attitudes are associated with violence perpetration and poor sexual health. There is limited diversity in U.S. samples used to validate gender attitudes measurements. This study assessed a 13-item gender equitable attitudes scale\'s validity among a sample of predominantly Black adolescent boys (n = 866; mean age = 15.5, range = 13-19 years) and examined associations with sexual health behaviors. Exploratory and confirmatory factor analyses tested construct validity. Logistic mixed-effects models were used to explore associations between gender equitable attitudes, adolescent relationship abuse, pornography use, and condom use behaviors; linear mixed-effects models explored associations between gender equitable attitudes and condom negotiation self-efficacy. By pooling data from two other gender transformative programs, Sisterhood 2.0 (n = 246, 13-19-year-old females (mean age = 15.2), 73.6% Black/African American) and Coaching Boys into Men Middle School (n = 958, 11-14-year-old males-6th grade: 10.4%, 7th grade: 36.5%, 8th grade: 53.1-56.6% white), measurement invariance was assessed across Black (n = 400) and white (n = 298) race and male (n = 429) and female (n = 246) gender. A three-factor 11-item scale showed construct validity among a sample of Black adolescent boys, weak factorial invariance across Black and white race, and configural invariance across male and female gender. Gender equitable attitudes were associated with less adolescent relationship abuse, higher condom negotiation self-efficacy, and less pornography use. These findings demonstrate some variability in measurements of gender equitable attitudes by race and gender. Targeting harmful gender norms may help prevent adolescent relationship abuse and improve sexual health behaviors.

UNASSIGNED: In lower-and middle-income countries (LMICs), studies of interventions to reduce intimate partner violence (IPV) perpetration are expanding yet measurement equivalence of the construct has not been established. We assessed the measurement equivalence of physical and sexual IPV perpetration used in recent trials in LMICs and tested the impact of non-invariance on trial inference.
UNASSIGNED: With data from three recent intervention trials among men (sample size 505-1537 across studies), we calculated tetrachoric correlations among items and used multiple-group confirmatory factor analysis to assess invariance across arms and over time. We also assessed treatment effects adjusting for covariate imbalance and using inverse probability to treatment weights to assess concordance of invariant measures with published results, where warranted.
UNASSIGNED: The average correlation among items was high and increased over time with several items in two studies showing correlations ≥0.85 at endline. Increases in correlation for physical IPV were concentrated in the treatment arm in two of the studies. The increase in correlation in sexual IPV differed by arm across studies. Across all studies, a correlated two-factor solution was the best fitting model according to the EFAs and CFAs. One study demonstrated measurement invariance across arms and over time. In two of the studies, longitudinal measurement non-invariance was detected in the intervention arms. In post hoc testing, one study attained invariance with a one-factor model and study inference was concordant with published findings. The other study did not attain even partial invariance.
UNASSIGNED: Common measures of physical and sexual IPV perpetration cannot be used for valid effect estimation without further refinement. The study highlights the need for an expanded item set, content validity assessments, further measurement invariance testing, and then consistent use of the item sets in future intervention trials to support accurate inference on the effectiveness of IPV perpetration prevention interventions.

Previous literature showed a complex interpretation of recall tasks due to the complex relationship between Executive Functions (EF) and Long Term Memory (M). The Test of Memory Strategies (TMS) could be useful for assessing this issue, because it evaluates EF and M simultaneously. This study aims to explore the validity of the TMS structure, comparing the models proposed by Vaccaro et al. (2022) and evaluating the measurement invariance according to three countries (Italy, Spain, and Portugal) through Confirmatory Factor Analysis (CFA). Four hundred thirty-one healthy subjects (Age mean = 54.84, sd = 20.43; Education mean = 8.85, sd =4.05; M = 177, F = 259) were recruited in three countries (Italy, Spain, and Portugal). Measurement invariance across three country groups was evaluated through Structural Equation modeling. Also, convergent and divergent validity were examined through the correlation between TMS and classical neuropsychological tests. CFA outcomes suggested that the best model was the three-dimensional model, in which list 1 and list2 reflect EF, list 3 reflects a mixed factor of EF and M (EFM) and list4 and list5 reflect M. This result is in line with the theory that TMS decreases EF components progressively. TMS was metric invariant to the country, but scalar invariance was not tenable. Finally, the factor scores of TMS showed convergent validity with the classical neuropsychological tests. The overall results support cross-validation of TMS in the three countries considered.

BACKGROUND: The eHealth Literacy Scale (eHEALS) is a widely used instrument for measuring eHealth literacy (eHL). However, little is known so far about whether the instrument is valid for the assessment of eHL in persons who are affected by the post-COVID-19 condition. This is particularly important as people with the post-COVID-19 condition are frequently affected by false information from the internet.
OBJECTIVE: The objective of our study was to evaluate the validity and reliability of the German Revised eHealth Literacy Scale (GR-eHEALS) in individuals with the post-COVID-19 condition.
METHODS: A cross-sectional study was conducted from January to May 2022. The self-assessment survey consisted of the GR-eHEALS, health status- and internet use-related variables, sociodemographic data, and (post)-COVID-19-related medical data. Confirmatory factor analysis (CFA), correlational analyses, and tests of measurement invariance were deployed.
RESULTS: In total, 330 participants were included in the statistical analyses. CFA revealed that the 2-factor model reached an excellent model fit (comparative fit index=1.00, Tucker-Lewis index=0.99, root mean square error of approximation=0.036, standardized root mean square residual=0.038). Convergent validity was confirmed by significant positive correlations between eHL and knowledge of internet-based health promotion programs, experience in using these programs, and the duration of private internet use. In addition, a significantly negative relationship of eHL with internet anxiety supported convergent validity. Further, significant relationships of eHL with mental health status and internal health locus of control confirmed the criterion validity of the instrument. However, relationships of eHL with physical health status and quality of life could not be confirmed. The 2-factor model was fully measurement invariant regarding gender. Regarding age and educational level, partial measurement invariance was confirmed. The subscales as well as the overall GR-eHEALS reached good-to-excellent reliability (Cronbach α≥.86).
CONCLUSIONS: The GR-eHEALS is a reliable and largely valid instrument for assessing eHL in individuals with the post-COVID-19 condition. Measurement invariance regarding gender was fully confirmed and allows the interpretation of group differences. Regarding age and educational level, group differences should be interpreted with caution. Given the high likelihood that individuals with the post-COVID-19 condition will be confronted with misinformation on the Internet, eHL is a core competency that is highly relevant in this context, in both research and clinical practice. Therefore, future research should also explore alternative instruments to capture eHL to overcome shortcomings in the validity of the GR-eHEALS.

While evidence supports cognitive reserve (CR) in preserving cognitive function, longitudinal validation of CR proxies, including later-life factors, remains scarce. This study aims to validate CR\'s stability over time and its relation to cognitive function in rural Chinese older adults.
Within the project on the health status of rural older adults (HSRO), the survey included baseline assessment (2019) and follow-up assessment (2022). 792 older adults (mean age: 70.23 years) were followed up. The confirmatory factor analysis (CFA) was constructed using cognitive reserve proxies that included years of formal education, social support, hobbies, and exercise. We examined the longitudinal validity of the CR factor using confirmatory factor analyses and measurement invariance and explored the association of CR with cognition using Spearman\'s correlation and Generalized Estimating Equations (GEE).
The results showed that CR\'s CFA structure was stable over time (T0, χ2/df: 3.21/2; RMSEA: 0.02, and T1, χ2/df: 7.47/2; RMSEA: 0.05) and that it accepted both configural and metric invariance (Δχ2/df = 2.28/3, P = 0.52). In addition, it was found that CR had a stable positive relationship with cognitive function across time (T0, r = 0.54; T1, r = 0.49). Furthermore, longitudinal CR were associated with MMSE (β = 2.25; 95%CI = 2.01 ~ 2.49).
This study provided valuable evidence on the stability and validity of cognitive reserve proxy measures in rural Chinese older adults. Our findings suggested that cognitive reserve is associated with cognitive function over time and highlighted the importance of accumulating cognitive reserve in later life.

UNASSIGNED: This study aims to evaluate the reliability and validity of the Chinese version of the Physical Activity Social Support Scale (PASSS-C) and its measurement invariance across different gender groups in a Chinese college student sample.
UNASSIGNED: A total of 1,689 Chinese college students participated in the study. We assessed the internal consistency of PASSS-C using Cronbach\'s alpha and McDonald\'s omega. A Confirmatory Factor Analysis (CFA) was conducted to test its five-factor model. Multi-group CFA was used to examine measurement equivalence between male and female groups. Convergent and criterion-related validity were assessed using Pearson correlation coefficients.
UNASSIGNED: The overall internal consistency of PASSS-C was good with a Cronbach\'s alpha of 0.952, and the subscales showed acceptable consistency. The CFA results supported the five-factor structure of PASSS-C in the college student sample, with values of CFI = 0.932, TLI = 0.917, RMSEA = 0.048, 90% CI [0.043 0.053], SRMR = 0.047. Scalar invariance was also supported across different gender groups, with ΔCFI = -0.003, ΔTLI = 0, ΔRMSEA = 0. PASSS-C demonstrated good convergent and criterion-related validity.
UNASSIGNED: PASSS-C exhibits satisfactory psychometric properties and is a valid and reliable tool for assessing the perceived level of social support for physical activity among college students.

UNASSIGNED: This study aimed to evaluate the measurement properties of 2 emerging psychological resilience (PR) measures constructed for use in large national data sources and to test their reliability across social axes including race/ethnicity, gender, and socioeconomic status.
UNASSIGNED: Using 2006/2008 data, the Simplified Resilience Score and the Add Health Resilience Scale were tested using overall and multigroup measurement models in a structural equation modeling framework.
UNASSIGNED: Both PR measures perform well as reliable, 1-factor latent constructs capturing adaptive capacity at various life stages. Both measures showed measurement consistency across social axes, with specific differences in item measurement across some racial/ethnic groups.
UNASSIGNED: The results indicate these measures represent high quality, consistent measures of PR in nationally representative aging and health data. The availability of reliable, valid measures of PR enables consistent evaluation of resilience in health and aging processes.

The Borderline Personality Feature Scale for Children (BPFSC) is a widely used instrument and currently the only dimensional measure to investigate Borderline Personality features in children and adolescents. The present study aimed to investigate the factor structure and measurement invariance across age and sex in a community sample of 634 adolescents (mean age = 16.72, standard deviation = 1.31). To test for measurement invariance, we conducted multi-group confirmatory factor analysis (MG-CFA). Analysis showed residual invariance across age and sex. Based on the results, we conclude that BPFSC is a valid and reliable instrument to assess Borderline Personality features in adolescents. Implications for evidence-based assessment of Borderline Personality features in adolescence are discussed.