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Coffman, Donna L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…
Descriptors: Structural Equation Models, Simulation, Regression (Statistics), Probability
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Markus, Keith A. – Multivariate Behavioral Research, 2008
One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…
Descriptors: Research Design, Structural Equation Models, Data Analysis, Causal Models
Hayduk, Leslie A.; Robinson, Hannah Pazderka; Cummings, Greta G.; Boadu, Kwame; Verbeek, Eric L.; Perks, Thomas A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Researchers using structural equation modeling (SEM) aspire to learn about the world by seeking models with causal specifications that match the causal forces extant in the world. This quest for a model matching existing worldly causal forces constitutes an ontology that orients, or perhaps reorients, thinking about measurement validity. This…
Descriptors: Validity, Structural Equation Models, Reliability, Causal Models

Rosenberg, Morris; And Others – American Sociological Review, 1989
Explores the reciprocal relationships between self-esteem and the following three problems of youth: (1) juvenile delinquency; (2) poor school performance; and (3) psychological depression. Findings include the following: (1) low self-esteem fosters delinquency, which may enhance self-esteem; (2) school performance affects self-esteem; and (3)…
Descriptors: Academic Achievement, Adolescents, Causal Models, Delinquency

Keith, Timothy Z. – Remedial and Special Education (RASE), 1993
This overview of nonexperimental causal research methods focuses on latent variable structural equation modeling using the LISREL computer program. An extended example in special education is used to present LISREL as an extension of structural equations analysis (path analysis) and as a method of reducing the effects of error in research.…
Descriptors: Causal Models, Computer Oriented Programs, Computer Software, Data Analysis