Examining ways of reducing physical inactivity has been at the forefront of public health research. Moreover, valid and reliable scales are needed to objectively assess physical activity (PA) avoidance. Previous research has shown that experiencing weight stigma and physical appearance-related concerns are associated with physical inactivity. However, there is currently no Thai instrument that assesses physical inactivity in relation to weight stigma. Therefore, the present study examined the psychometric properties of the Thai version of the Tendency to Avoid Physical Activity and Sport Scale (TAPAS). Thai university students (N = 612) recruited via convenience sampling completed an online survey using SurveyMonkey between September 2022 and January 2023. Confirmatory factor analysis (CFA), multigroup CFA, and Pearson correlations (between TAPAS scores, age, body mass index, and time spent exercising) were used to analyze the data. The CFA showed robust psychometric properties for the Thai version of TAPAS regarding its unidimensional structure. The TAPAS was measurement invariant across sex, weight status, and daily hours of exercise. However, no significant Pearson correlations were found. In general, the results showed that the TAPAS is a good scale for assessing PA avoidance among Thai young adults across different sexes, weight status, and daily hours of exercise.

Facebook is one of the most popular social networking sites. However, Facebook intrusion or addiction is a growing concern as it involves an excessive attachment to Facebook, which disrupts daily functioning. To date, few studies have examined whether cross-cultural differences in the measurement of Facebook addiction exist. The aim of this study was to investigate the cross-cultural validity and measurement invariance of the Facebook Intrusion Questionnaire (FIQ), one of the most widely used measures of Facebook addiction, across 25 countries (N = 12,204, 62.3% female; mean age = 25 years). Multigroup confirmatory factor analyses (MGCFA) assessed cross-cultural validity as well as invariance. Additionally, individual confirmatory factor analyses evaluated the factorial structure and measurement invariance across genders in each country. The FIQ demonstrated partial metric invariance across countries and metric (13 countries), scalar (11 countries) or residual (10 countries) invariance across genders within individual countries. A one-factor model indicated a good fit in 18 countries. Cronbach\'s alpha for the entire sample was .85. Our findings suggest that the FIQ may provide an adequate assessment of Facebook addiction that is psychometrically equivalent across cultures. Moreover, the questionnaire seems to be universal and suitable for studying different social media in distinct cultural environments. Consequently, this robust tool can be used to explore behaviours related to specific media that are particularly popular in any given country.

UNASSIGNED: Chronic back pain is a frequent and disabling health problem. There is evidence that ignorance and erroneous beliefs about chronic low back pain among health professionals interfere in the treatment of people who suffer from it. The Health Care Providers\' Pain and Impairment Relationship Scale (HC-PAIRS) has been one of the most used scale to assess these misbeliefs, but no studies have been reported in Latin America. Method: We studied the factorial structure of the HC-PAIRS in health personnel and health sciences university students in two Latin American countries: Colombia (n = 930) and Chile (n = 190). Spain\'s data was taken of the original study of the Spanish version of the HC-PAIRS (171 Physiotherapy students). Additionally, the measurement invariance of this scale among Chile, Colombia and Spain was evaluated by calculating three nested models: configural, metric and scalar. We used a Confirmatory Factor Analysis (CFA) in both Latin American samples, with Maximum Likelihood Robust (MLR) estimation to estimate the parameters. For the final model in each sample, reliability was assessed with the Composite Reliability (CR) index, and to obtain the proportion of variance explained by the scale the Average Variance Extracted (AVE) was calculated.
UNASSIGNED: The one-factor solution shows an acceptable fit in both countries after deleting items 1, 6, and 14. For the resulting scale, the CR value is adequate, but the AVE is low. There is scalar invariance between Chile and Colombia, but not between these two countries and Spain.
UNASSIGNED: HC-PAIRS is useful for detecting misconceptions about the relationship between chronic low back pain that would cause health personnel to give wrong recommendations to patients. However, it has psychometric weaknesses, and it is advisable to obtain other evidence of validity.

The current study presents the development process and initial validation of the Engagement in Athletic Training Scale (EATS), which was designed to evaluate athletes\' engagement in athletic training. In study 1, item generation and initial content validity of the EATS were achieved. In study 2, the factor structure of the EATS was examined using exploratory factor analysis (EFA) and exploratory structural equation modeling (ESEM). Internal consistency reliabilities of the subscales were examined (N = 460). In study 3, factor structure, discriminant validity, internal consistency reliability, and nomological validity of the EATS were further examined in an independent sample (N = 513). Meanwhile, measurement invariance of the EATS across samples (study 2 and study 3) and genders was evaluated. Overall, results from the 3 rigorous studies provided initial psychometric evidence for the 19-item EATS and suggested that the EATS could be used as a valid and reliable measure to evaluate athletes\' engagement in athletic training.

Assessing measurement invariance and the interplay of discrimination, microaggressions, and resilience among Black women living with HIV (BWLWH) across time utilizing latent class and repeated measure analysis may provide novel insights. A total of 151 BWLWH in a southeastern U.S. city completed surveys focused on multiple forms of microaggressions and discrimination (race, gender, sexual orientation, or HIV-related) and resilience factors (social support, self-efficacy, post-traumatic growth) at baseline, 3 months, and 6 months. To capture the psychosocial domains of discrimination, microaggressions, and resilience, three latent factors were developed and measured across three time points. Latent class analysis was also conducted to identify and compare meaningful subgroups based on varying levels of discrimination, microaggressions, and resilience reported. Three latent classes were created. MI testing suggested that measurement invariance was partially met (established metric invariance and scalar invariance), and it is possible to compare factor means of discrimination, microaggressions, and resilience across time. Latent factor mean scores of microaggressions and discrimination decreased after 3 and 6 months and increased for resilience after 6 months and varied over time across the three latent classes identified. The subgroup with the lowest level of discrimination and microaggressions and the highest level of resilience reported at baseline, experienced increases in resilience after months 3 and 6. Clinical interventions, research, and policies aimed at promoting resilience and reducing structural and social barriers linked to racism, sexism, HIV stigma, and classism are needed to improve the health and well-being of BWLWH.

OBJECTIVE: Quality of life (QoL) is identified as a clinical and research priority by the autistic community. Researchers have the responsibility to ensure that instruments used to measure QoL do so reliably and accurately among autistic participants.
METHODS: Our study evaluated measurement invariance of Emotional Distress (Depression, Anxiety, Anger, Psychological Stress) and Subjective Well-Being (Life Satisfaction, Positive Affect, and Meaning & Purpose) scales of the Patient-Reported Outcomes Measurement Information System (PROMIS) among groups of autistic (N=140, n per scale=132-140) and general population (N=1,224, n per scale=406-411) teenagers (14-17 years). These scales were included in the PROMIS Autism Battery-Lifespan, which uses PROMIS scales to measure QoL domains most relevant for autistic people.
RESULTS: Multi-group confirmatory factor analyses using permutation tests demonstrated that Depression and Positive Affect scales exhibited scalar invariance between groups, indicating that scores can be meaningfully compared across autistic and general population teens. Anger and Psychological Stress scales demonstrated metric invariance between groups, indicating that these scales measure the same latent trait in both groups, but group comparisons are not supported.
CONCLUSIONS: We provide guidance as to how these scales can be used in psychometrically supported ways to capture constructs relevant for understanding QoL among autistic teens.
Quality of life is an important outcome for autistic people and their families. However, many quality of life scales have not been tested to make sure they accurately measure quality of life among autistic people. It is important to make sure that quality of life measures works similarly among the autistic population. The goal of our study is to test whether scales on a common quality of life measure – the Patient-Reported Outcomes Measurement Information System (PROMIS) – measures quality of life in the same way between autistic and general population adolescents. We found that some of the PROMIS scales worked the same way for autistic and general population adolescents and others did not. These results help researchers confidently use the PROMIS scales to measure different aspects of quality of life among autistic youth.

OBJECTIVE: The goals of this project were to improve our understanding of chronic regulatory focus constructs and to provide researchers with a measure that adequately assesses the constructs, can distinguish individual differences effectively across the range of the constructs, and is appropriate for use in diverse populations.
METHODS: Employing best practices in construct validation, we developed the International Personality Item Pool Regulatory Focus Scale (IPIP-RFS). Utilizing 14 samples (N = 4867), we established substantive (via expert ratings and regulatory focus literature), structural (via factor analysis, item response theory, and measurement invariance), and external (via convergent, discriminant, and predictive associations) validity.
RESULTS: The IPIP-RFS adequately assesses the constructs of chronic promotion focus and prevention focus, can accurately assess individuals along the continua of the constructs, and is suitable for use among populations that vary in gender, race, and age. Individual differences in promotion focus reflect self-regulation and goal pursuit related to cognitive and behavioral exploration and flexibility (i.e., plasticity), whereas individual differences in prevention focus reflect self-regulation and goal pursuit related to motivational and interpersonal steadiness (i.e., stability).
CONCLUSIONS: Promotion and prevention focus are important elements of personality with broad implications for functioning and outcomes in health and other important domains.

Research into the motivations for using social network sites has greatly increased in recent years. However, few studies have examined the psychometric validation of scales measuring these motivations. This research revised the Social Network Sites Use Motivations (SNSUM) Scale for application in a Chinese context. A total of 931 Chinese adolescents and undergraduates, aged 16-23 years, completed the adapted SNSUM scale and assessments of life satisfaction. Item analysis indicated all items in the SNSUM scale were retained for exploratory factor analysis (EFA). EFA results revealed a five-factor solution, explaining 75.37 % of the total variance, with factor loadings exceeding 0.40. This factor structure aligns with theoretical expectations and previous studies. Confirmatory factor analysis (χ2 = 415.633; df = 92, CFI = 0.934, TLI = 0.914, RMSEA = 0.080) and measurement invariance indicate robust construct validity of the scale across diverse gender and age cohorts. It also showed high internal consistency (Cronbach\'s α = 0.950) and excellent test-retest reliability (intraclass correlation coefficient = 0.952). Notably, SNSUM demonstrated a significant positive correlation with life satisfaction (r = 0.531). The findings confirm that the scale has robust psychometric properties among Chinese adolescents and undergraduates, suggesting its applicability within the context of Chinese culture.

(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.

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.