PATH ANALYSIS (2014 EDITION)
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:
The full content is now available from Statistical Associates Publishers. Click here.
Below is the unformatted table of contents.
PATH ANALYSIS Overview 6 Data used in this volume 7 Key Concepts and Terms 7 Estimation 7 Path model 8 Exogenous and endogenous variables 8 Disturbance terms 8 Causal paths 9 Path Coefficients 10 Path coefficents/weights 10 Path multiplication rule 11 Effect decomposition 12 Path analysis example in OLS regression 13 Overview 13 SPSS regression method 14 SAS regression method 16 Stata regression method 17 Path analysis example in SEM 18 SEM example data 18 SEM in SPSS Amos, SAS, and Stata 19 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 Adequate sample size 60 Frequently Asked Questions 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 How is the path multiplication rule used in computation of indirect effects? 62 Partition Model A: Simple mediation 63 Partition Model B: Anteceding effect on endogenous variables 64 Partition Model C: Anteceding effect on former exogenous and endogenous variables 66 Partition Model D: Correlated exogenous variables 67 Why might the direct effect be zero? 69 What is Simpson's paradox? 69 What is Berkson's paradox (case-control bias)? 70 How are path coefficients related to a covariance/correlation matrix for purposes of testing a model? 71 How, exactly, can I compute path coefficients in the regression method? 72 How do I compute the value of the path from an error term to an endogenous variable? 73 How can multiple group path analysis determine if the path model differs across groups in my sample? 73 Could I substitute logistic regression when doing effect decomposition? 73 Can path analysis handle hierarchical/multilevel data? 73 What is partial least squares path analysis? 74 What is the historical origin of path analysis? 74 Bibliography 76 Pagecount: 81