There is limited knowledge concerning children’s relationships with their teachers, and specifically, we lack a suitable, culturally appropriate measurement instrument for assessing the teacher-student relationship from the student’s perspective in Asia. This study used attachment theory as a theoretical framework to understand teacher-student relationships. Using a dataset from the Ministry of Education (MOE) of Singapore, the authors developed and validated a student version of the Teacher-Student Relationship Inventory (S-TSRI), with good psychometric properties for Singaporean children. The three-factor S-TSRI model comprising the factors satisfaction, instrumental help, and conflict was first established by exploratory factor analysis (EFA) and confirmed by confirmatory factor analysis (CFA). Through subsequent multigroup CFAs, we found that the factorial invariance was supported across gender, grade levels, and students of different academic levels, represented by the pass and fail groups. The structural model was tested in the total, pass, and fail groups. For the total and pass groups, the factors satisfaction and instrumental help showed significant positive relationships with a sense of school belonging, and negative or non-significant relationships with aggression. The conflict factor showed a weaker negative or non-significant relationship with a sense of school belonging, and a positive relationship with aggression. For the fail group, identical results were obtained with one exception; this was discussed in light of the fail group having a different needs profile. Findings from this study show that the 14-item S-TSRI measure has robust psychometric properties and yields scores that are reliable and valid in this large sample of primary school students from Singapore.
This study aimed to develop the Social Media Engagement Scale for Adolescents (SMES-A), and evaluate its reliability and validity. The initial items were collected via open-ended questions, a literature review, and suggestions from psychological experts. A total valid sample of 2519 adolescents participated in this study. The results of the exploratory factor analysis (EFA) indicated that this scale was composed of three factors named affective engagement, behavioral engagement, and cognitive engagement, accounting for 56.01% of the total variance. The confirmatory factor analysis (CFA) confirmed the three-factor model. The affective engagement, behavioral engagement, and cognitive engagement were positively correlated with the criterion variables of objective social media use. The mean intra-correlation coefficients of the three factors were 0.523, 0.451, and 0.512. The Cronbach’s alpha coefficients of the affective engagement, behavioral engagement, and cognitive engagement were from 0.709 to 0.804. Their McDonald’s omega were 0.805, 0.805, and 0.712, which showed high reliability of this three-factor structure. The test–retest reliability of the three factors were all above 0.68 8 weeks later. Overall, our findings suggested that the SMES-A is a reliable and valid measurement to evaluate social media engagement among Chinese adolescents.
Background: Chinese adolescents encounter a lot of stressors, such as academic burden and parental pressure. However, little is known about their perception of stress. The 10-item Perceived Stress Scale (PSS-10) is a widely used instrument to measure individuals’ appraisal of global stress in academic research and clinical practice. The current study aimed to evaluate the best-fit factor structure model of the PSS-10 and the measurement invariance across genders in Chinese adolescents.
Methods: A total of 1,574 Chinese senior high school students completed the PSS-10 (mean age = 15.26 ± 0.56 years, female = 54%). Confirmatory factor analysis (CFA) was conducted to determine the factor structure of the PSS-10. Multigroup CFA was carried out to test the measurement invariance of the PSS-10 across genders. A subsample (N = 1,060) answered additional questionnaires measuring stressful life events, anxiety, and depression to examine the convergent and concurrent validity of the PSS-10.
Results: The two-factor model was supported [i.e., χ2 (34) = 332.224, p < 0.001; non-normal fit index (NNFI) = 0.901, comparative fit index (CFI) = 0.925, root mean square error of approximation (RMSEA) = 0.075, standardized root mean square residual (SRMR) = 0.051]. Importantly, the model exhibited strong measurement invariance across female and male groups. Furthermore, the PSS-10 had adequate convergent validity for stressful life events (number: r = 0.13, p < 0.001; impact: r = 0.23, p < 0.001) and could explain incremental variance in predicting anxiety (ΔR2 = 0.13, β = 0.38, p < 0.001) and depression (ΔR2 = 0.16, β = 0.41, p < 0.001), suggesting excellent concurrent validity.
Conclusion: A two-factor model best fits the structure of PSS-10 among Chinese adolescents, with strong measurement invariance between gender groups, demonstrating its validity for assessing perceived stress among Chinese adolescents.