A cross-cultural comparison of teacher-student relationship quality in Chinese and Italian teachers and students.

Studies comparing teacher-student relationships between Eastern and Western countries are relatively rare. This study compared the affective qualities of teacher-student relationships between Eastern (i.e., China) and Western (i.e., Italy) countries to explore the measurement invariance, latent mean differences, and cultural differences in reporters' (teachers and students) agreement levels. An Italian sample of 31 teachers and 1647 students (46.9% girls; ages 9-14 years) and a Chinese sample of 28 teachers and 1474 students (44% girls; ages 9-14 years) reported on their perceptions of closeness and conflict in the teacher-student relationship. Measures of both student-perceived and teacher-perceived relationships achieved (partial) scalar invariance between the two cultures in the full sample, elementary school subsamples, and junior high school subsamples. Compared to their Chinese peers, the Italian junior high school students reported lower levels of conflict with their teachers, but there was no difference in closeness level. In addition, there was no difference in reporters' agreement across China and Italy in the full sample and in the junior high school subsample, whereas the Italian reporters' agreement on conflict was higher in the elementary school subsample.

Invarianza factorial según sexo del Cuestionario de Agresión Proactiva y Reactiva en adolescentes peruanos / Reactive Proactive Aggression Questionnaire and its factorial invariance according to sex in Peruvian adolescents

Introducción: en esta investigación se analiza la validez, confiabilidad e invarianza del Cuestionario de Agresión Reactiva/Proactiva. Método: el estudio fue de tipo instrumental. Se evaluó a 2803 adolescentes, de los cuales 48.9% fueron mujeres 51.1% varones de la ciudad de Arequipa. Se aplicó el Cuestionario de Agresión Reactiva Proactiva (RPQ). Resultados: la prueba obtuvo índices de bondad de ajuste adecuados y se confirmó la estructura bifactorial mediante el análisis factorial confirmatorio. La prueba presentó invarianza escalar y estricta en función al sexo de los estudiantes evaluados, de modo que los varones muestran una mayor agresividad reactiva y proactiva que las mujeres. Las medidas de confiabilidadfueron satisfactorias. Conclusión: el RPQ es válido con una estructura de dos factores, además es invariante en función al sexo de los evaluados.

Introduction: in this research, we analyze the validity, reliability and invariance of the Reactive/Proactive Aggression Questionnaire. Method: the study was an instrumental sort of. We assessed 2803 adolescents, 48.9% female and 51.1% male from Arequipa City. The Reactive/Proactive Aggression Questionnaire (RPQ) was applied. Results: the test obtained adequate levels of goodness of fit and the bifactorial structure was confirmed by a confirmatory factor analysis. The test presented scalar and strict invariance based on the sex of the evaluated students, so men showed greater reactive and proactive aggressiveness than women. Reliability measures were satisfactory. Conclusion: the RPQ is valid with a two-factor structure; it is also invariant depending on the sex of those evaluated.

Disordered gaming in esports: Comparing professional and non-professional gamers.

INTRODUCTION: The American Psychiatric Association (APA) proposed 'Internet Gaming Disorder' (IGD) as a tentative disorder (APA framework) in 2013 and in 2019 the World Health Organization (WHO) has fully recognized 'Gaming Disorder' (GD) as a mental health disorder (WHO framework). These two frameworks have not yet been jointly investigated in the context of esports. The present study aims to investigate the feasibility of the APA and WHO frameworks for disordered gaming among professional and non-professional gamers and to ascertain the suitability of existing psychometric tools for use in esports. METHODS: A sample of 5,734 gamers (Mage = 21.47 years, SD = 6.69 years; 6.94% female) recruited through an online survey prior to the COVID-19 pandemic that included an age and gender matched group of professional (n = 2,867) and non-professional gamers (n = 2,867) was investigated. Pairwise comparisons, measurement invariance (MI), and latent mean difference tests were conducted to distinguish the two groups of gamers. RESULTS: Overall, professional gamers showed greater time spent gaming and prevalence of disordered gaming than non-professional gamers. Additionally, MI was supported and both disordered gaming levels and latent means were significantly higher among professional gamers when compared to non-professional gamers across both APA and WHO frameworks. CONCLUSIONS: Esports is cross-sectionally associated with greater disordered gaming vulnerability through increased time spent gaming and disordered gaming prevalence rates. Furthermore, the APA and WHO frameworks are viable in the context of esports gaming with existing assessment tools being effective in the assessment of disordered gaming in esports. The results and implications are further discussed in light of the extant literature.

Multiple Group Analysis in Multilevel Data Across Within-Level Groups: A Comparison of Multilevel Factor Mixture Modeling and Multilevel Multiple-Indicators Multiple-Causes Modeling.

The purpose of this two-part study is to evaluate methods for multiple group analysis when the comparison group is at the within level with multilevel data, using a multilevel factor mixture model (ML FMM) and a multilevel multiple-indicators multiple-causes (ML MIMIC) model. The performance of these methods was evaluated integrally by a series of procedures testing weak and strong invariance models and the latent group mean differences testing after holding for factorial invariance. Two Monte Carlo simulation studies were conducted under the following conditions: number of clusters, cluster size, and the design type in groups. A multilevel one-factor confirmatory factor analysis (CFA) model as a research model in Study 1 was investigated to compare the results under different conditions with those of previous studies. A multilevel two-factor CFA model as a research model in Study 2 was evaluated by fitting alternative models that can be applied when the model is complicated. The results indicated that the two methods were reasonable in multilevel multiple groups analysis across within-level groups. However, pros and cons were found between the two methods. In the multilevel one-factor CFA model, ML MIMIC model was slightly better when the sample size is small. In the multilevel complex model, two alternative models of ML FMM were recommended because the weak invariance testing of ML MIMIC was considerably time-consuming. Finally, it was shown that information criteria, which are criteria for determining whether factorial invariance is established, need to be applied differently according to the sample size conditions. Guidelines for this situation are provided.

The Basic Psychological Need Satisfaction and Frustration Scale in Exercise (BPNSFS-E): Validity, Reliability, and Gender Invariance in Portuguese Exercisers.

The aim of this study was to translate and validate the Basic Psychological Need Satisfaction and Frustration Scale for Portuguese exercisers. In addition, we sought to analyze gender invariance. We collected data from two independent samples of Portuguese respondents-a calibration sample with 316 participants and a validation sample with 632 participants. Results from confirmatory factor analysis supported the original six-factor model in both the calibration sample, χ2(237) = 471.814, χ2/df = 1.99; B-S p < .001, Comparative Fit Index = .935, Tucker-Lewis Index =.924, standard mean root square residual = .047, root mean square error of approximation = .057 (90% confidence interval = [.050, .065]), and the validation sample, χ2(237) = 571.796, χ2/df = 2.41; B-S p < .001, Comparative Fit Index = .948, Tucker-Lewis Index = .940, standard mean root square residual = .038, root mean square error of approximation = .047 (90% confidence interval = [.042, .052]). Moreover, our analysis revealed acceptable internal consistency, convergent and discriminant validity of the translated version, and invariance between the two samples and between genders, as differences across latent means showed that magnitude effects were trivial between samples and between male and female exercisers. These results support the use of the adapted scale among both male and female exercisers.

Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models.

Multitrait-multimethod (MTMM) analysis is one of the most frequently employed methods to examine the validity of psychological measures. Confirmatory factor analysis (CFA) is a commonly used analytic tool for examining MTMM data through the specification of trait and method latent variables. Most contemporary CFA-MTMM models either do not allow estimating correlations between the trait and method factors or they are restricted to linear trait-method relationships. There is no theoretical reason why trait and method relationships should always be linear, and quadratic relationships are frequently proposed in the social sciences. In this article, we present two approaches for examining quadratic relations between traits and methods through extended latent difference and latent means CFA-MTMM models (Pohl et al., 2008; Pohl and Steyer, 2010). An application of the new approaches to a multi-rater study of the nine inattention symptoms of attention-deficit/hyperactivity disorder in children (N = 752) and the results of a Monte Carlo study to test the applicability of the models under a variety of data conditions are described.

School Refusal Assessment Scale-Revised: Factorial Invariance and Latent Means Differences across Gender and Age in Spanish Children.

The aim of this study was to analyze the factorial invariance and latent means differences of the Spanish version of the School Refusal Assessment Scale-Revised for Children (SRAS-R-C) in a sample of 1,078 students (50.8% boys) aged 8-11 years (M = 9.63, SD = 1.12). The results revealed that the proposed model in this study, with a structure of 18 items divided into four factors (Negative Affective, Social Aversion and/or Evaluation, To Pursue Attention and Tangible Reinforcements), was the best-fit model with a tetra-factorial structure, remaining invariant across gender and age. Analysis of latent means differences indicated that boys and 11-year-old students scored highest on the Tangible Reinforcements subscale compared with their 8- and 9-year-old peers. On the contrary, for the subscales of Social Aversion and/or Evaluation and to Pursue Attention, the differences were significant and higher in younger age groups compared to 11-year-olds. Appropriate indexes of reliability were obtained for SRAS-R-C subscales (0.70, 0.79, 0.87, and 0.72). Finally, the founded correlation coefficients of scores of the SRAS-R-C revealed a predictable pattern between school refusal and positive/negative affect and optimism/pessimism.