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Chunhua Cao; Yan Wang; Eunsook Kim – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Nonparametric Statistics, Statistical Analysis
Strauss, Christian L. L. – ProQuest LLC, 2022
In many psychological and educational applications, it is imperative to obtain valid and reliable score estimates of multilevel processes. For example, in order to assess the quality and characteristics of high impact learning processes, one must compute accurate scores representative of student- and classroom-level constructs. Currently, there…
Descriptors: Scores, Factor Analysis, Models, True Scores
Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
Nelson, Jason M. – Annals of Dyslexia, 2015
The double-deficit hypothesis (DDH) of the developmental dyslexias (Wolf and Bowers, "Journal of Educational Psychology", 91, 415-438, 1999) was investigated with 149 adolescents and young adults (age range?=?16 to 24 years) with dyslexia. Confirmatory factor analysis indicated that a two-factor model with separate naming speed (NS) and…
Descriptors: Dyslexia, Adolescents, Young Adults, Factor Analysis
Schweig, Jonathan – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
Measures of classroom and school environments are a central component of policy efforts that assess school and teacher quality. These measures are often formed by aggregating individual survey responses to form group-level measures, and assume an invariant measurement model holds at both the individual and group level. This paper explores the…
Descriptors: Hierarchical Linear Modeling, Educational Environment, Classroom Environment, Surveys
Jung, Eunjoo – Journal of Educational Research, 2014
The author examined whether mathematics instruction provided by kindergarten teachers is related to children's mathematics learning during the kindergarten year based on the children's socioeconomic status and race. Hierarchical linear modeling was employed using a large sample of kindergarten students to estimate relationships between the…
Descriptors: Kindergarten, Young Children, Preschool Teachers, Mathematics Instruction
Xu, Jianzhong; Du, Jianxia; Fan, Xitao – Educational Technology & Society, 2015
The present study investigates empirical models of groupwork management in online collaborative learning environments, based on the data from 298 students (86 groups) in United States. Data revealed that, at the group level, groupwork management was positively associated with feedback and help seeking. Data further revealed that, at the individual…
Descriptors: Educational Environment, Online Courses, Electronic Learning, Teamwork