Kajian ini dijalankan untuk mengesan respon idaman sosial daripada respon-respon yang berbeza. Selain itu, kajian ini juga memeriksa item dan dimensi-dimensi personaliti yang mudah terjejas kepada kebolehinginan sosial. Dalam kajian eksperimental ini, 521 pelajar sekolah diuji dengan borang soal-selidik International Personality Item Pool (IPIP) sebanyak dua kali di bawah arahan menjawab secara jujur dan dengan kebolehinginan sosial. Respon-respon dari pentadbiran pertama diklasifikasikan sebagai kumpulan jujur dan respon-respon dari pentadbiran kedua dikategorikan sebagai kumpulan kebolehinginan sosial. Kepincangan skor respon dari min dan analisis keserasian digunakan untuk mengesan respon idaman sosial. Keberbezaan fungsi ujian diaplikasikan dalam mengenal pasti item-item yang cenderung untuk kebolehinginan sosial. Analisa diteruskan dengan keberbezaan fungsi ujian untuk memeriksa kesan keberbezaan fungsi item pada keseluruhan ujian dan pada dimensi-dimensi personaliti yang ditaksir.....

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Many facet Rasch measurement (MFRM) is a type of measurement application that aims to perform analysis of multiple variables that potentially influence results of a test or outcome measure. A facet is a component with a systematic contribution to the variability of the measurement error. Linacre (1989) created the technique as an extension of the Rasch model to model the consistency of judges/raters in rating performances. The purpose is to provide a step- by step guide for practitioners on how to conduct an MFRM analysis in FACETS software using real data...

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This manuscript reports results of an empirical assessment of a newly developed measure designed to assess apprentice teaching proficiency. In this study, Many Facets Rasch model software was used to evaluate the psychometric quality of the Framework for Equitable and Effective Teaching (FEET), a rater-mediated assessment. The analysis focused on examining variability in (1) supervisor severity in ratings, (2) level of item difficulty, (3) time of assessment, and (4) teacher apprentice proficiency. Added validity evidence showed moderate correlation with self-reports of apprentice teaching. The findings showed support for the FEET as yielding reliable ratings with a need for added rater training.  ..

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This study aimed to examine the influence of teacher support on student engagement in mathematics. A cross-sectional survey was employed to recruit 632 students from grades 7 to 9 in junior middle schools across China. Participants completed various scales, including a teacher support scale, an academic self-efficacy scale, and a student engagement scale. Data analysis was conducted using SPSS 20.0 and Amos 24.0. Results showed that, first, emotional support and competence support had a significant positive effect on student engagement in mathematics. The contribution from competence support was the strongest. The contribution from autonomy support was the weakest; second, academic self-efficacy mediated the relationship between autonomy support, emotional support, and competence support and student engagement in mathematics. These findings supplement and expand the understanding of the factors that affect student engagement and provide theoretical support and useful guidance for for.....

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The increasing prevalence of exploratory factor analysis (EFA) applications in scholarly literature reflects its popularity and the convenience of computer-assisted analysis. With advancements in computer hardware and software, the complexity and variations of EFA analysis have also grown. Despite the availability of sophisticated computer programming, the appropriate utilization of EFA necessitates users to make informed judgments. Additionally, users are responsible for searching and identifying suitable statistical software to accommodate their data and analysis requirements. This review aims to enhance understanding of the EFA technique and summarize the analysis options available for EFA in R packages. A total of 50 packages were examined in this study. Specifically, the review focuses on (1) diagnostic functions, (2) factor extraction, (3) factor retention, (4) factor rotation, and (5) complex data and technique features provided by these packages. The review summarizes the avail.....

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