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Rutkowski, Leslie; Rutkowski, David – Scandinavian Journal of Educational Research, 2018
Over time international large-scale assessments have grown in terms of number of studies, cycles, and participating countries, many of which are a heterogeneous mix of economies, languages, cultures, and geography. This heterogeneity has meaningful consequences for comparably measuring both achievement and non-achievement constructs, such as…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
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Cai, Li; Yang, Ji Seung; Hansen, Mark – Psychological Methods, 2011
Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group analysis and inflexible in the types of item response models supported. We propose a flexible multiple-group item bifactor analysis framework that supports a variety of…
Descriptors: Item Analysis, Item Response Theory, Factor Analysis, Maximum Likelihood Statistics
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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
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Yildirim, Huseyin Husnu; Berberoglu, Giray – International Journal of Testing, 2009
Comparisons of human characteristics across different language groups and cultures become more important in today's educational assessment practices as evidenced by the increasing interest in international comparative studies. Within this context, the fairness of the results across different language and cultural groups draws the attention of…
Descriptors: Test Bias, Cross Cultural Studies, Comparative Analysis, Factor Analysis
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Goldstein, Harvey; Bonnet, Gerard; Rocher, Thierry – Journal of Educational and Behavioral Statistics, 2007
The Programme for International Student Assessment comparative study of reading performance among 15-year-olds is reanalyzed using statistical procedures that allow the full complexity of the data structures to be explored. The article extends existing multilevel factor analysis and structural equation models and shows how this can extract richer…
Descriptors: Foreign Countries, Structural Equation Models, Markov Processes, Factor Analysis
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Thorpe, Graham – School Effectiveness and School Improvement, 2006
The UK reading literacy data from the OECD PISA 2000 study are analysed using multilevel methods. The main analyses focus on the composite reading literacy scale resulting from the study and the explanatory variables used are 16 of the scales derived from answers given to the pupil questionnaire administered as part of the survey, together with…
Descriptors: Reading Achievement, Measures (Individuals), Secondary School Students, Differences
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Marsh, Herbert W.; Hau, Kit-Tai; Artelt, Cordula; Baumert, Jurgen; Peschar, Jules L. – International Journal of Testing, 2006
Through a rigorous process of selecting educational psychology's most useful affective constructs, the Organisation for Economic Co-operation and Development (OECD) constructed the Students' Approaches to Learning (SAL) instrument, which requires only 10 min to measure 14 factors that assess self-regulated learning strategies, self-beliefs,…
Descriptors: Measurement Techniques, Educational Psychology, Psychometrics, Cross Cultural Studies
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Kunter, Mareike; Baumert, Jurgen – Learning Environments Research, 2006
In this article, we examine the construct and criteria validity of student and teacher ratings as indicators of instructional features. As parsimonious measures, student and teacher reports are frequently used to assess aspects of the learning environment. From a methodological perspective, however, both approaches have been questioned. Whereas…
Descriptors: Student Attitudes, Construct Validity, Evaluation Criteria, Teacher Attitudes