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Núñez-Regueiro, Fernando; Juhel, Jacques; Bressoux, Pascal; Nurra, Cécile – Journal of Educational Psychology, 2022
Part of the evidence used to corroborate school motivation theories relies on modeling methods that estimate cross-lagged effects between constructs, that is, reciprocal effects from one occasion to another. Yet, the reliability of cross-lagged models rests on the assumption that students do not differ in their trajectories of growth over time…
Descriptors: High School Students, Student Motivation, Academic Achievement, High Achievement
Lohmann, Julian F.; Zitzmann, Steffen; Voelkle, Manuel C.; Hecht, Martin – Large-scale Assessments in Education, 2022
One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that "continuous-time models" are well suited to study the continuously developing constructs of primary interest in the education…
Descriptors: Longitudinal Studies, Structural Equation Models, Time, Achievement Tests
Toker, Turker; Green, Kathy – International Journal of Assessment Tools in Education, 2021
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study -- 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA and MRM to determine if results…
Descriptors: Multivariate Analysis, Structural Equation Models, Item Response Theory, Achievement Tests
Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
Bodkin-Andrews, Gawaian; O'Rourke, Virginia; Craven, Rhonda G. – Australian Journal of Education, 2010
It is only relatively recently that empirical research has begun to emerge that has sought to further understand the factors that may contribute to the educational inequities between Indigenous Australian and non-Indigenous Australian students. Although it has been argued that research has typically employed small, unrepresentative case studies…
Descriptors: Educational Research, Self Concept, Educational Objectives, Outcomes of Education
Kim, Heeja; Rojewski, Jay W. – Journal of Vocational Education Research, 2002
This paper describes structural equation modeling (SEM) and possibilities for using SEM to address problems specific to workforce education and career development. A sample of adolescents identified as work-bound (i.e., transition directly from secondary school to work) from the National Education Longitudinal Study 1988-1996 database (NELS:…
Descriptors: Structural Equation Models, Career Education, Career Development, Technical Education