NDLI: Bayesian Structural Equation Models for Multilevel Data

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Bayesian Structural Equation Models for Multilevel Data

Content Provider	Scilit
Copyright Year	2001
Description	Multilevel structural equation models (SEM) have become increasingly popular in the psychometric literature (Goldstein & McDonald, 1988; Longford & Muthén, 1992; McDonald & Goldstein, 1989; Muthén & Sattora, 1989; Muthén, 1989,1994). The rapid growth of multilevel modeling stems from the importance of accounting for population heterogeneity to make valid inferences from data that have a nested or hierarchical structure. Such nested data structures are common in the social sciences. Here are some examples:• In the educational literature, student performance data are often collected from a cluster sample obtained by first drawing a random sample of schools and then drawing a random sample of students from within each selected school. For example, in the Second International Mathematics Study (SIMS; Crosswhite, Dossey, Swafford, McKnight, & Cooney 1985), a national probability sample of school districts was selected, a sample of schools was drawn from within district, and a sample of two classes were selected from within each school. Here students are nested within classrooms, classrooms are nested within schools, and schools are nested within districts, thus forming a four-level nesting structure. Background vari-ables are observed at all the four levels of the hierarchy, and interestcould be in understanding how district-level, school-level, class-level, and studentspecific variables influence test performance. Book Name: New Developments and Techniques in Structural Equation Modeling
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.4324/9781410601858-10&type=chapterpdf
Ending Page	178
Page Count	30
Starting Page	149
DOI	10.4324/9781410601858-10
Language	English
Publisher	Informa UK Limited
Publisher Date	2001-03-01
Access Restriction	Open
Subject Keyword	Book Name: New Developments and Techniques in Structural Equation Modeling Mathematical Social Sciences Models Structure Equation Multilevel Modeling Schools Classrooms Nested Goldstein Mcdonald Muthén
Content Type	Text
Resource Type	Chapter

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