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Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
Lydia Bradford – ProQuest LLC, 2024
In randomized control trials (RCT), the recent focus has shifted to how an intervention yields positive results on its intended outcome. This aligns with the recent push of implementation science in healthcare (Bauer et al., 2015) but goes beyond this. RCTs have moved to evaluating the theoretical framing of the intervention as well as differing…
Descriptors: Hierarchical Linear Modeling, Mediation Theory, Randomized Controlled Trials, Research Design
Le, Dai-Trang – ProQuest LLC, 2013
In an effort to understand how school boards in America's K-12 school system function, a research collaboration was undertaken among four agencies: the National School Boards Association, the Thomas B. Fordham Institute, the Iowa Association of School Boards, and the Wallace Foundation. These groups joined effort to conduct research on school…
Descriptors: Item Response Theory, Models, Educational Research, Factor Structure
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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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Hogarty, Kristine Y.; Hines, Constance V.; Kromrey, Jeffrey D.; Ferron, John M.; Mumford, Karen R. – Educational and Psychological Measurement, 2005
The purpose of this study was to investigate the relationship between sample size and the quality of factor solutions obtained from exploratory factor analysis. This research expanded upon the range of conditions previously examined, employing a broad selection of criteria for the evaluation of the quality of sample factor solutions. Results…
Descriptors: Sample Size, Factor Analysis, Factor Structure, Evaluation Methods