A conceptual overview of Structural Equation Modeling (SEM) in rehabilitation research

William R. Merchant; Jian Li; Aryn C. Karpinski; Phillip D. Rumrill

doi:10.3233/WOR-131633

A conceptual overview of Structural Equation Modeling (SEM) in rehabilitation research

William R. Merchant, Jian Li, Aryn C. Karpinski, Phillip D. Rumrill

Early Childhood, Special Education, and Counselor Education

Research output: Contribution to journal › Review article › peer-review

16 Scopus citations

Abstract

Structural Equation Modeling (SEM) is a collection of statistical techniques used to determine the degree to which a proposed theoretical model is supported by data. SEM has been growing in various disciplines as well as in rehabilitation research. It is the goal of this introduction to provide a conceptual overview of SEM. This statistical technique can facilitate a better understanding of large data sets involving theoretical models that have become more frequent in this discipline.

Original language	English
Pages (from-to)	407-415
Number of pages	9
Journal	Work
Volume	45
Issue number	3
DOIs	https://doi.org/10.3233/WOR-131633
State	Published - 2013

Keywords

rehabilitation
Structural equation modeling

ASJC Scopus subject areas

Rehabilitation
Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/WOR-131633

Cite this

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abstract = "Structural Equation Modeling (SEM) is a collection of statistical techniques used to determine the degree to which a proposed theoretical model is supported by data. SEM has been growing in various disciplines as well as in rehabilitation research. It is the goal of this introduction to provide a conceptual overview of SEM. This statistical technique can facilitate a better understanding of large data sets involving theoretical models that have become more frequent in this discipline.",

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AB - Structural Equation Modeling (SEM) is a collection of statistical techniques used to determine the degree to which a proposed theoretical model is supported by data. SEM has been growing in various disciplines as well as in rehabilitation research. It is the goal of this introduction to provide a conceptual overview of SEM. This statistical technique can facilitate a better understanding of large data sets involving theoretical models that have become more frequent in this discipline.

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A conceptual overview of Structural Equation Modeling (SEM) in rehabilitation research

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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