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Wondimu Ahmed – Journal of Psychoeducational Assessment, 2024
This study examined the psychometric properties of the Positive and Negative Affect Schedule for Children-Short Form (PANAS-C-SF) in a diverse sample of 15-year-olds in the United States [N = 4382]. Multiple measurement models, including a one-factor model, two-factor orthogonal and oblique models, a three-factor model (PA, Fear, and Distress),…
Descriptors: Psychometrics, Affective Measures, Factor Analysis, Fear
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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
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Xin Liu; Kajsa Yang Hansen; Jan De Neve; Martin Valcke – Instructional Science: An International Journal of the Learning Sciences, 2024
The present study examines the measurement property of instructional quality in mathematics education, building on data from teachers and students, by combing TALIS 2013 and PISA 2012 linkage data from seven countries. Confirmatory factor analysis was applied to examine the dimensionality of the construct instructional quality in mathematics…
Descriptors: Teacher Attitudes, Student Attitudes, Mathematics Instruction, Educational Quality
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Meng, Lingqi; Muñoz, Marco; King Hess, Kristin; Liu, Shujie – Educational Review, 2017
This study investigated effective teaching factors and student reading strategies as predictors of student reading achievement in the United States and China. Participants were 10,348 students in the 2009 Program for International Student Assessment (PISA) study, 5115 from China and 5233 from the United States. Exploratory factor analysis (EFA)…
Descriptors: Reading Strategies, Teacher Effectiveness, Academic Achievement, Achievement Tests
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Ozel, Murat; Caglak, Serdar; Erdogan, Mehmet – Learning and Individual Differences, 2013
This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
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Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
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Li, Hongli; Fortner, C. Kevin; Lei, Xiaoxuan – School Effectiveness and School Improvement, 2015
In this study, we examined relationships between the use of test results and US students' math, reading, and science performance in the Programme for International Student Assessment (PISA) 2009. Based on a literature review, we hypothesized that the 16 items in the PISA school questionnaire, which are related to the use of test results, can be…
Descriptors: Academic Achievement, Tests, Evaluation Utilization, Mathematics Achievement
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Taht, Karin; Must, Olev – Educational Research and Evaluation, 2013
We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…
Descriptors: Academic Achievement, Factor Analysis, Factor Structure, Educational Attitudes
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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