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Basic Statistics in Multivariate Analysis$
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Karen A. Randolph and Laura L. Myers

Print publication date: 2013

Print ISBN-13: 9780199764044

Published to Oxford Scholarship Online: May 2013

DOI: 10.1093/acprof:oso/9780199764044.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 23 April 2021

Path Analysis

Path Analysis

(p.163) 7 Path Analysis
Basic Statistics in Multivariate Analysis

Karen A. Randolph

Laura L. Myers

Oxford University Press

Chapter 7 provides a description of path analysis statistical procedures. The discussion of multiple linear regression in Chapter 5 is expanded here to highlight the role of path analysis in causal modeling. The authors provide a detailed explanation of path analysis with an emphasis on correlation as an important basic statistic. The components of a path diagram are described, as well as rules for constructing diagrams, how to display relationships between variables, path coefficients and equations, and decomposing path models. The required assumptions for conducting path analysis are presented and an explanation of the path model estimation procedures provided. This section concludes with a description of examples from social work research that have used path analytic methods. Building on the path analysis presentation, the authors provide an overview of structural equation modeling. The final section provides step-by-step instructions for testing a path model in AMOS, using data from the National Education Longitudinal Study of 1988.

Keywords:   causal modeling, correlation, path analysis, path decomposition, path models

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