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Rujun Xu; James Soland – International Journal of Testing, 2024
International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…
Descriptors: Surveys, Statistical Bias, Achievement Tests, Foreign Countries
Costa, Denise Reis; Chen, Chia-Wen – Large-scale Assessments in Education, 2023
Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…
Descriptors: Achievement Tests, Secondary School Students, International Assessment, Foreign Countries
Lin, Tzung-Jin; Tan, Aik Ling; Tsai, Chin-Chung – International Journal of Science Education, 2013
Due to the scarcity of cross-cultural comparative studies in exploring students' self-efficacy in science learning, this study attempted to develop a multi-dimensional science learning self-efficacy (SLSE) instrument to measure 316 Singaporean and 303 Taiwanese eighth graders' SLSE and further to examine the differences between the two student…
Descriptors: Foreign Countries, Self Efficacy, Cross Cultural Studies, Cultural Differences
Aypay, Ahmet – Turkish Online Journal of Educational Technology - TOJET, 2010
The purpose of this study is to examine the ICT usage and academic achievement of Turkish students in PISA 2006 data. The sample of the study included 4942 students from 160 schools. Frequencies, independent samples t-tests, ANOVAs, pearson correlation coefficients, exploratory factor analysis, and regression analysis were used. A high percentage…
Descriptors: Academic Achievement, Access to Computers, Factor Structure, Factor Analysis