Homework Goal Orientation Scale: Measurement invariance and latent mean differences across gender and grade level

The current study validated the Homework Goal Orientation Scale (HGOS) for secondary school students. Results revealed that HGOS consisted of two distinct but related subscales: mastery‐approach and performance‐approach. Given satisfactory measurement invariance, the latent mean differences were then examined across gender (males vs. females) and grade level (7th vs. 9th). Findings showed no statistically significant mean differences across gender and grade level. Finally, consistent with theoretical expectations, compared with performance‐approach, mastery‐approach was more strongly associated with homework effort, homework emotion regulation, homework completion, and math achievement.     

Ethnic, gender, and socio-economic group differences in academic performance and secondary school selection: A longitudinal analysis

This study examined gender, socio-economic (SES), and ethnic group differences in academic performance (measured at 14 and 16 years) in a sample of 517 British pupils (mean age = 16.5 years). White pupils outperformed their Black and Pakistani counterparts and high SES pupils consistently outperformed their low SES counterparts. Results from two Multiple Indicators Multiple Causes (MIMIC) models showed that controlling for IQ variance minimizes these group differences. The MIMIC models also revealed that Pakistani pupils and girls tend to underperform academically relative to White pupils and boys, respectively, at 14 years, once IQ and SES have been partialed out. These and other, more specific, findings are discussed with reference to predictive test bias, selection and streaming procedures, and implications for educational policy.     

Measurement invariance across information and communication technology development index and gender: The case of the Pearson Test of English Academic reading

The computerization of reading assessments has presented a set of new challenges to test designers. From the vantage point of measurement invariance, test designers must investigate whether the traditionally recognized causes for violating invariance are still a concern in computer-mediated assessments. In addition, it is necessary to understand the technology-related causes of measurement invariance among test-taking populations. In this study, we used the available data (n = 800) from the previous administrations of the Pearson Test of English Academic (PTE Academic) reading, an international test of English comprising 10 test items, to investigate measurement invariance across gender and the Information and Communication Technology Development index (IDI). We conducted a multi-group confirmatory factor analysis (CFA) to assess invariance at four levels: configural, metric, scalar, and structural. Overall, we were able to confirm structural invariance for the PTE Academic, which is a necessary condition for conducting fair assessments. Implications for computer-based education and the assessment of reading are discussed.     

Elementary school students' motivational profiles across Finnish language,mathematics and science: Longitudinal trajectories,gender differences and STEM aspirations

The present study employed a person-oriented approach to (1) identify elementary school students’ self-concept and intrinsic value profiles across the subjects Finnish language, mathematics and science and to examine (2) the stability and change of these motivational profiles from 2nd to 3rd grade, (3) gender differences in profile membership as well as (4) the relation to students’ STEM (Science, Technology, Engineering and Mathematics) occupational aspirations. Based on data from 383 Finnish students (56.7% girls) three profiles were identified: High motivation across all three subjects, low motivation across all subjects, and a math-motivated profile with low motivation in the other two subjects. Latent transition analyses revealed moderate stability, particularly in the high motivation profile. Girls were less likely to be and to remain in the math-motivated profile, but they were more likely than boys to remain in the high motivation profile. The math-motivated profile transition pattern was associated with students’ STEM occupational aspirations.