# Path Analysis Statistical Associates Blue Book Series 22 By G. David Garson

## G. David Garson ä 3 read

An illustrated tutorial and introduction to path analysis using SPSS AMOS SAS or Stata Suitable for introductory graduate level study The 2014 edition is a major update to the 2012 edition Among the new features are these Over double the page length 74 pp rather than 35 Over four times as many illustrative figures 45 rather than 11 Now covers SAS and Stata as well as SPSS and AMOS Covers both regression based and SEM based methods Totally rewritten and reformatted with new FAs added Links to download datasets used in the text Below is the unformatted table of contents PATH ANALYSIS Overview 6 Key Concepts and Terms 7 Estimation 7 Path model 7 Exogenous and endogenous variables 8 Disturbance terms 8 Causal paths 9 Path Coefficients 9 Path coefficentsweights 9 Path multiplication rule 11 Effect decomposition 11 Path analysis example in OLS regression 13 Overview 13 SPSS regression method 13 SAS regression method 16 Stata regression method 17 Path analysis example in SEM 17 SEM example data 17 SEM in SPSS Amos SAS and Stata 18 Path analysis in SPSS AMOS 19 AMOS Inputs 19 AMOS outputs Path estimates 25 AMOS outputs Partition of total effects 27 AMOS outputs Goodness of Fit measures 29 AMOS outputs Correlations 34 AMOS outputs Modification indexes 35 Path Analysis in SAS PROC CALIS 36 Overview 36 SAS inputs 37 SAS outputs Path estimates 39 SAS outputs Partition of total effects 40 SAS outputs Goodness of fit measures 41 SAS outputs Correlations 45 SAS outputs Modification indices 46 Path Analysis in Stata 47 Overview 47 Stata inputs 48 Stata outputs Path estimates 49 Stata outputs Partition of total effects 51 Stata outputs Goodness of fit measures 53 Stata outputs Correlations 55 Stata outputs Modification indices 55 Assumptions 57 Linearity 57 Interval level variables 57 Uncorrelated error 58 Proper specification 59 Normally distributed error 59 Low multicollinearity 60 Identification of the model 60 Recursivity 60 Adeuate sample size 60 Freuently Asked uestions 61 Does path analysis confirm causation in a model? 61 Can path analysis be used for exploratory rather than confirmatory purposes? 61 How does the significance of a path coefficient compare with the significance of the corresponding regression coefficient? 62 Why might the direct effect be zero? 62 What is Simpson's paradox? 62 What is Berkson's paradox case control bias? 63 How are path coefficients related to a covariancecorrelation matrix for purposes of testing a model? 64 How exactly can I compute path coefficients in the regression method? 65 How do I compute the value of the path from an error term to an endogenous variable? 66 How can multiple group path analysis determine if the path model differs across groups in my sample? 66 Could I substitute logistic regression when doing effect decomposition? 67 Can path analysis handle hierarchicalmultilevel data? 67 What is partial least suares path analysis? 67 What is the historical origin of path analysis? 67 Bibliography 69 Pagecount 74 Path Analysis Statistical Associates Blue Book Series 22

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