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Direct linkMarcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences
Bainter, Sierra A.; Howard, Andrea L. – Developmental Psychology, 2016
Several multivariate models are motivated to answer similar developmental questions regarding within-person (intraindividual) effects between 2 or more constructs over time, yet the within-person effects tested by each model are distinct. In this article, the authors clarify the types of within-person inferences that can be made from each model.…
Descriptors: Multivariate Analysis, Inferences, Mothers, Parent Child Relationship
Perez, Rafael G. – ProQuest LLC, 2013
The purpose of this quantitative inferential study is to determine the level of correlation between the organizational factors of information security awareness, balanced security processes, and organizational structure with the size of the estimation gap of information security implementations mediated by the end user intentionality. The study…
Descriptors: Information Security, Information Management, Correlation, Administrative Organization
Shin, Tacksoo; Davison, Mark L.; Long, Jeffrey D. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
The purpose of this study is to investigate the effects of missing data techniques in longitudinal studies under diverse conditions. A Monte Carlo simulation examined the performance of 3 missing data methods in latent growth modeling: listwise deletion (LD), maximum likelihood estimation using the expectation and maximization algorithm with a…
Descriptors: Sample Size, Monte Carlo Methods, Structural Equation Models, Data Collection
Ravens-Sieberer, Ulrike; Freeman, John; Kokonyei, Gyongyi; Thomas, Christiane A.; Erhart, Michael – Health Education, 2009
Purpose: The purpose of this paper is to investigate whether students' perceptions of their school environment and their adjustment to school are associated with health outcomes across gender and age groups. Design/methodology/approach: Data from the cross-sectional international Health Behavior in School-aged Children Survey of the year 2002…
Descriptors: Student Attitudes, Life Satisfaction, Psychosomatic Disorders, Health Behavior
McCoach, D. Betsy; Black, Anne C.; O'Connell, Ann A. – Psychology in the Schools, 2007
Although structural equation modeling (SEM) is one of the most comprehensive and flexible approaches to data analysis currently available, it is nonetheless prone to researcher misuse and misconceptions. This article offers a brief overview of the unique capabilities of SEM and discusses common sources of user error in drawing conclusions from…
Descriptors: Misconceptions, Inferences, Data Analysis, Structural Equation Models
