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Direct linkKeiko C. P. Bostwick; Emma C. Burns; Andrew J. Martin; Rebecca J. Collie; Tracy L. Durksen – Journal of Experimental Education, 2025
In the current longitudinal study, we investigated the structure of students' (N = 1,469) specific growth constructs and their broader growth orientation using a bifactor exploratory structural equation model. We also examined the extent to which each of these components was associated with gains in students' academic and nonacademic outcomes…
Descriptors: Student Motivation, Academic Achievement, Achievement Gains, Secondary School Students
Liang, Xinya; Cao, Chunhua – Journal of Experimental Education, 2023
To evaluate multidimensional factor structure, a popular method that combines features of confirmatory and exploratory factor analysis is Bayesian structural equation modeling with small-variance normal priors (BSEM-N). This simulation study evaluated BSEM-N as a variable selection and parameter estimation tool in factor analysis with sparse…
Descriptors: Factor Analysis, Bayesian Statistics, Structural Equation Models, Simulation
Finch, W. Holmes – Journal of Experimental Education, 2022
Multivariate analysis of variance (MANOVA) is widely used to test the null hypothesis of equal multivariate means across 2 or more groups. MANOVA rests upon an assumption that error terms are independent of one another, which can be violated if individuals are clustered or nested within groups, such as schools. Ignoring such nesting can result in…
Descriptors: Multivariate Analysis, Hypothesis Testing, Structural Equation Models, Hierarchical Linear Modeling
Vispoel, Walter P.; Lee, Hyeryung; Xu, Guanlan; Hong, Hyeri – Journal of Experimental Education, 2023
Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance…
Descriptors: Generalizability Theory, Structural Equation Models, Programming Languages, Scores
Jia, Yuane; Konold, Timothy – Journal of Experimental Education, 2021
Traditional observed variable multilevel models for evaluating indirect effects are limited by their inability to quantify measurement and sampling error. They are further restricted by being unable to fully separate within- and between-level effects without bias. Doubly latent models reduce these biases by decomposing the observed within-level…
Descriptors: Hierarchical Linear Modeling, Educational Environment, Aggression, Bullying
Brunsting, Nelson C.; Zachry, Corinne; Liu, Jintong; Bryant, Rhonda; Fang, Xuanyu; Wu, Siyu; Luo, Zhengda – Journal of Experimental Education, 2021
To advance understanding of international students' psychological well-being and social-emotional experiences, we tested whether specific social influences could enhance international students' belonging and well-being and attenuate loneliness. Graduate and undergraduate international students (N = 126) from two universities in the United States…
Descriptors: Social Support Groups, Student Experience, Social Experience, Emotional Experience
