A Bifactor-ESEM Representation of the Multidimensional Scale of Perceived Social Support.

The aim of this study is to examine the factor structure of Turkish version of the Multidimensional Scale of Perceived Social Support (MSPSS) and to analyze its psychometric properties through the bifactor-ESEM framework. Using a convenience sample of 1124 Turkish adults, seven different models were tested. The results supported the superiority of a bifactor-ESEM solution that included three specific factors (family, friends, and significant others) and a general factor. In addition, bifactor indices showed that the general factor of MSPSS is not strong enough and its multidimensional structure is supported. For the bifactor-ESEM model, strict measurement invariance was achieved according to the gender variable. Our results supported convergent validity for the general and specific factors of the MSPSS, which were found to be associated with measures of distress, loneliness, and resilience. As a result, MSPSS is a valid and reliable measurement tool with its bifactor-ESEM model.

Introducing the Basic Psychological Needs Frustration in Second Language Scale (BPNF-L2): Examining its factor structure and effect on L2 motivation and achievement.

Research on the satisfaction of the basic psychological needs for autonomy, competence, and relatedness is well-established in second language (L2) research. However, little is known about the frustration of these basic psychological needs and how they can undermine intrinsic motivation and L2 achievement. Importantly, there is no valid scale of the frustration of the basic psychological needs in the L2 context. Accordingly, the present study introduces a new scale called the Basic Psychological Needs Frustration in Second Language (BPNF-L2) and assesses its factor structure and criterion-related validity through the application of bifactor exploratory structural equation modeling (bifactor ESEM). Our results showed that scores obtained on the BPNF-L2 scale are reliable and valid. Moreover, our results support the criterion-related validity of this factor structure by showing that the general factor of BPNF-L2 negatively explains intrinsic motivation and L2 achievement while the BPNF-L2 specific factors (i.e., autonomy, competence, and relatedness frustration) explain the outcomes differently. The results indicate that feeling frustrated because basic psychological needs are not met may hinder the enjoyment and acquisition of the L2. Educational implications, methodological advancements, and directions for future research are provided.

Pediatric Symptom Checklist-17: Factor Structure and Uniform Differential Item Functioning Across Gender and Age in HIV Orphans and Vulnerable Children in Zambia.

This study aimed to investigate the psychometric properties of the Pediatric Symptom Checklist-17 (PSC-17) in a sample of children orphaned or made vulnerable (OVC) by HIV in Zambia. Caregivers of 1,076 OVC (55.1% boys; Mage = 12.91 years) completed the PSC-17. Competing models, including confirmatory factor analysis (CFA), hierarchical CFA, bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM, were tested to evaluate the optimal factor structure of the PSC-17. Results showed that the bifactor ESEM provided the best approximation of the PSC-17 data with a well-defined general psychosocial problems factor explaining 72% of the reliable variance in the total score and an internalizing factor containing 63% of reliable variance unique from the general factor. The observed overall psychosocial problems score was associated with lower academic achievement and working memory (with small effect sizes), supporting the discriminant validity of score interpretation. Results of multiple indicators multiple causes (MIMIC) analyses revealed that all items functioned equivalently across child gender and age.

The difficulties in emotion regulation scale: Dimensionality, measurement invariance, and physiological correlates in community adolescents.

OBJECTIVE: Emotion regulation is a central construct for the study of mental health in adolescence. Although the Difficulties in Emotion Regulation Scale (DERS) has been vastly used, several issues remain unanswered (e.g., factor structure/dimensionality). This study aimed to validate the 36-items DERS in a sample of 989 Portuguese community adolescent (460 boys; 529 girls; age ranged from 14 to 18). METHOD: A bifactor-ESEM model, comprising a general and six specific factors (nonacceptance; goals; impulses; strategies; clarity; awareness) was explored and considered the best fitting model. RESULTS: Gender measurement invariance was established. When compared with boys, although differences were small in magnitude, girls presented higher emotion regulation difficulties. Evidence for reliability and construct/temporal validity were found, and significant associations between the DERS and physiological measures of emotion regulation (i.e., Heart Rate and Heart Rate Variability) were established. CONCLUSION: Findings support the use of the DERS in adolescent samples.

Psychometric properties of the Opening Minds Stigma Scale for Health Care Providers in 32 European countries - A bifactor ESEM representation.

Aims: To measure the stigma of healthcare providers toward people suffering from mental illness, the Opening Minds Stigma Scale for Health Care Providers (OMS-HC) is a commonly applied instrument. However, this scale has not been thoroughly validated in many European countries, its psychometric properties are still unknown and data on practicing psychiatrists is lacking. Therefore, this multicenter study aimed to assess the psychometric characteristics of the 15-item OMS-HC in trainees and specialists in adult and child psychiatry in 32 countries across Europe. Materials and methods: The OMS-HC was conducted as an anonymous online survey and sent via Email to European adult and child psychiatrists. Parallel analysis was used to estimate the number of OMS-HC dimensions. Separate for each country, the bifactor ESEM, a bifactor exploratory structural equation modeling approach, was applied to investigate the factor structure of the scale. Cross-cultural validation was done based on multigroup confirmatory factor analyses and reliability measures. Results: A total of 4,245 practitioners were included, 2,826 (67%) female, 1,389 (33%) male. The majority (66%) of participants were specialists, with 78% working in adult psychiatry. When country data were analyzed separately, the bifactor model (higher-order factor solution with a general factor and three specific factors) showed the best model fit (for the total sample χ2/df = 9.760, RMSEA = 0.045 (0.042-0.049), CFI = 0.981; TLI = 0.960, WRMR = 1.200). The average proportion of variance explained by the general factor was high (ECV = 0.682). This suggests that the aspects of 'attitude,' 'disclosure and help-seeking,' and 'social distance' could be treated as a single dimension of stigma. Among the specific factors, the 'disclosure and help-seeking' factor explained a considerable unique proportion of variance in the observed scores. Conclusion: This international study has led to cross-cultural analysis of the OMS-HC on a large sample of practicing psychiatrists. The bifactor structure displayed the best overall model fit in each country. Rather than using the subscales, we recommend the total score to quantify the overall stigmatizing attitudes. Further studies are required to strengthen our findings in countries where the proposed model was found to be weak.

Factor structure of the de Jong Gierveld loneliness scale: an esem approach / Estructura factorial de la “Escala de soledad de de Jong Gierveld: un modelo de ecuaciones estructurales

Esta investigación pretende examinar la fiabilidad, la validez convergente y la invariancia de la medida de la “Escala de soledad de de Jong Gierveld” (DJGLS). Se evaluó especialmente el ajuste de modelo-datos de varias estructuras factoriales en una muestra de adultos jóvenes. Los resultados demuestran que el modelo bifactorial-ESEM muestra un elevado ajuste modelo-datos, según el CFI y el RMSEA. En este caso, se ha determinado que las saturaciones cruzadas, definidas por el modelo bifactorial-ESEM, tienen un efecto creciente en el ajuste modelo-datos. En este modelo bifactorial-ESEM, la DJGLS tiene un factor general altamente fiable y dos subfactores irrelevantes. Se obtuvo la invarianza de las medidas métricas en función del sexo. Las puntuaciones de la DJGLS tuvieron correlaciones moderadas y altas, estadísticamente significativas, con variables externas. En conclusión, puede decirse que la DJGLS es un instrumento de evaluación fiable, con validez convergente y de constructo, en la muestra de adultos jóvenes. Además, la DJGLS es, básicamente, una escala unidimensional y muestra el mejor ajuste modelo-datos en el modelo bifactorial-ESEM. (AU)

Investigating the Multidimensionality and Psychometric Properties of the Children's Anger Rumination Scale (CARS): A Bifactor Exploratory Structural Equation Modeling Framework.

Anger Rumination (AR) represents a maladaptive cognitive process that contributes negatively to psychosocial functioning. The purpose of the present study was to investigate the psychometric properties (e.g., factorial structure, measurement invariance, and reliability) of the Children's Anger Rumination Scale (CARS). Factorial structure was tested by contrasting alternative model representations of the instrument (one- and four-factor independent cluster models-confirmatory factor analysis [ICM-CFA], exploratory structural equation modelling [ESEM], bifactor-CFA and bifactor-ESEM) in a convenience sample of 552 Greek students (Mage = 11.50 years; 53.6% girls). The hypothesized bifactor-ESEM solution, composed by a general anger rumination factor and four specific factors (Angry Afterthoughts, Thoughts of Revenge, Angry Memories, and Understanding of Causes) provided the best fit to the data and revealed the unitary dimensionality of the CARS. Measurement invariance across gender and age in level of the latent means indicated no significant differences in relation to AR tendency. The CARS showed internal consistency, one-month test-retest reliability as well as desirable patterns of convergent and discriminant validity. The predictive power of the instrument was also supported as participants' AR propensity was found to explain both depressive symptoms and bullying behaviors. Overall, our findings indicate that the CARS is a developmentally appropriate and psychometrically sound instrument that conceptualizes AR as an unidimensional construct among children and preadolescents.

Bifactor exploratory structural equation modeling: A meta-analytic review of model fit.

Multivariate behavioral research often focuses on latent constructs-such as motivation, self-concept, or wellbeing-that cannot be directly observed. Typically, these latent constructs are measured with items in standardized instruments. To test the factorial structure and multidimensionality of latent constructs in educational and psychological research, Morin et al. (2016a) proposed bifactor exploratory structural equation modeling (B-ESEM). This meta-analytic review (158 studies, k = 308, N = 778,624) aimed to estimate the extent to which B-ESEM model fit differs from other model representations, including confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), hierarchical CFA, hierarchical ESEM, and bifactor-CFA. The study domains included learning and instruction, motivation and emotion, self and identity, depression and wellbeing, and interpersonal relations. The meta-analyzed fit indices were the χ2 /df ratio, the comparative fit index (CFI), the Tucker-Lewis index (TLI), the root mean square error of approximation (RMSEA), and the standardized root mean squared residual (SRMR). The findings of this meta-analytic review indicate that the B-ESEM model fit is superior to the fit of reference models. Furthermore, the results suggest that model fit is sensitive to sample size, item number, and the number of specific and general factors in a model.

Validation of L2 grit among Chinese EFL high school students and its enduring effect on achievements: A bifactor model approach.

The current study seeks to validate L2 grit measure among 637 Chinese senior middle school students using a bifactor modeling approach. To do so, we first assessed and compared four alternative measurement models including CFA, bifactor CFA, ESEM, and bifactor ESEM models. Among these models, CFA exhibited the poorest fit to the data collected from the sample. ESEM showed partial fit to the data with a slightly lower factor correlation between two components of L2 grit (i.e., perseverance of effort and consistency of interest) than CFA. Two bifactor models (bifactor CFA and bifactor ESEM) demonstrated excellent fits to the data. The more parsimonious bifactor CFA model was selected as the optimal one. Based on the bifactor CFA model, we confirmed measurement invariance across gender and predictive validity of L2 grit on subsequent language achievements. Based on these findings, methodological and pedagogical implications were discussed.

Further Investigation of the Dimensionality of the Questionnaire for Eudaimonic Well-Being.

The dimensionality of the Questionnaire for Eudaimonic Well-Being (QEWB) has been a topic of debate and divergent findings in the literature up to date. This study investigated the factor structure and measurement invariance of the QEWB in four culturally diverse South African samples using confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modelling (ESEM), and bifactor ESEM. Three student samples completed the English (n = 326), Afrikaans (n = 478), or Setswana (n = 260) version of the QEWB. An adult sample (n = 262) completed the English version. The one-factor structure revealed poor fit for the student samples. Although the four-factor models generally showed slightly better fit than the three-factor models, the latter was preferred for parsimony. The bifactor ESEM model displayed good fit for the student samples, with the general factor and some specific factors attaining sufficient reliability scores, pointing to the potential use of the scale in these samples. Configural invariance between the student samples was supported, but not metric nor scalar invariance. For the adult sample, none of the models displayed good fit and the use of the QEWB in this sample is not recommended. The results point towards the existence of a global eudaimonic well-being factor and, at the same time, the interrelatedness of facets of eudaimonic well-being. It suggests that eudaimonic well-being may be represented by the same items across the three student groups. The influence of developmental phase on the manifestation and measurement of eudaimonic well-being should be explored in future.