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Kseniia Marcq; Johan Braeken – International Journal of Testing, 2025
The Programme for International Student Assessment (PISA) student questionnaire, despite being designed for low cognitive demand, may induce test burden due to its 306-item length, resulting in increased item nonresponse toward the questionnaire's end. Using the PISA 2018 response data from 80 countries and a cross-classified mixed effects model,…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
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
Smith, Patriann; Frazier, Paul; Lee, Jaehoon; Chang, Rong – International Journal of Testing, 2018
Previous research has primarily addressed the effects of language on the Program for International Student Assessment (PISA) mathematics and science assessments. More recent research has focused on the effects of language on PISA reading comprehension and literacy assessments on student populations in specific Organization for Economic Cooperation…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Chu, Man-Wai; Babenko, Oksana; Cui, Ying; Leighton, Jacqueline P. – International Journal of Testing, 2014
The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…
Descriptors: Hierarchical Linear Modeling, Secondary School Students, Student Attitudes, Educational Environment
Asil, Mustafa; Brown, Gavin T. L. – International Journal of Testing, 2016
The use of the Programme for International Student Assessment (PISA) across nations, cultures, and languages has been criticized. The key criticisms point to the linguistic and cultural biases potentially underlying the design of reading comprehension tests, raising doubts about the legitimacy of comparisons across economies. Our research focused…
Descriptors: Comparative Analysis, Reading Achievement, Achievement Tests, Secondary School Students
Liu, Ou Lydia; Wilson, Mark – International Journal of Testing, 2009
Differential gender performance in standardized mathematics assessment has long been a heated topic. Gender gaps of varied magnitude have been identified on large-scale assessments in the United States. To continue the investigation, this study examined male and female performance on the Programme for International Student Assessment (PISA) 2003…
Descriptors: Foreign Countries, Probability, Gender Differences, Standardized Tests
Le, Luc T. – International Journal of Testing, 2009
This study uses PISA cycle 3 field trial data to investigate the relationships between gender differential item functioning (DIF) across countries and test languages for science items and their formats and the four other dimensions defined in PISA framework: focus, context, competency, and scientific knowledge. The data used were collected from 60…
Descriptors: Test Bias, Gender Bias, Science Tests, Test Items
Liu, Ou Lydia – International Journal of Testing, 2009
Learning strategies and affective factors could have a profound impact on student standardized mathematics performance. This study investigated gender differences in affective factors, learning strategies, and preferred learning situations, and how these variables affect math achievement of 15 year olds in the United States and Hong Kong on the…
Descriptors: Asians, Self Efficacy, Mathematics Achievement, Learning Strategies