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 FAQs added
* Links to download datasets used in the text.
Below is the unformatted table of contents.
PATH ANALYSIS
Overview6
Key Concepts and Terms7
Estimation7
Path model7
Exogenous and endogenous variables8
Disturbance terms8
Causal paths9
Path Coefficients9
Path coefficents/weights9
Path multiplication rule11
Effect decomposition11
Path analysis example in OLS regression13
Overview13
SPSS regression method13
SAS regression method16
Stata regression method17
Path analysis example in SEM17
SEM example data17
SEM in SPSS Amos, SAS, and Stata18
Path analysis in SPSS AMOS19
AMOS Inputs19
AMOS outputs: Path estimates25
AMOS outputs: Partition of total effects27
AMOS outputs: Goodness of Fit measures29
AMOS outputs: Correlations34
AMOS outputs: Modification indexes35
Path Analysis in SAS PROC CALIS36
Overview36
SAS inputs37
SAS outputs: Path estimates39
SAS outputs: Partition of total effects40
SAS outputs: Goodness of fit measures41
SAS outputs: Correlations45
SAS outputs: Modification indices46
Path Analysis in Stata47
Overview47
Stata inputs48
Stata outputs: Path estimates49
Stata outputs: Partition of total effects51
Stata outputs: Goodness of fit measures53
Stata outputs: Correlations55
Stata outputs: Modification indices55
Assumptions57
Linearity57
Interval level variables57
Uncorrelated error58
Proper specification59
Normally distributed error59
Low multicollinearity60
Identification of the model60
Recursivity60
Adequate sample size60
Frequently Asked Questions61
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 covariance/correlation 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 hierarchical/multilevel data?67
What is partial least squares path analysis?67
What is the historical origin of path analysis?67
Bibliography69
Pagecount:74
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 FAQs added
* Links to download datasets used in the text.
Below is the unformatted table of contents.
PATH ANALYSIS
Overview6
Key Concepts and Terms7
Estimation7
Path model7
Exogenous and endogenous variables8
Disturbance terms8
Causal paths9
Path Coefficients9
Path coefficents/weights9
Path multiplication rule11
Effect decomposition11
Path analysis example in OLS regression13
Overview13
SPSS regression method13
SAS regression method16
Stata regression method17
Path analysis example in SEM17
SEM example data17
SEM in SPSS Amos, SAS, and Stata18
Path analysis in SPSS AMOS19
AMOS Inputs19
AMOS outputs: Path estimates25
AMOS outputs: Partition of total effects27
AMOS outputs: Goodness of Fit measures29
AMOS outputs: Correlations34
AMOS outputs: Modification indexes35
Path Analysis in SAS PROC CALIS36
Overview36
SAS inputs37
SAS outputs: Path estimates39
SAS outputs: Partition of total effects40
SAS outputs: Goodness of fit measures41
SAS outputs: Correlations45
SAS outputs: Modification indices46
Path Analysis in Stata47
Overview47
Stata inputs48
Stata outputs: Path estimates49
Stata outputs: Partition of total effects51
Stata outputs: Goodness of fit measures53
Stata outputs: Correlations55
Stata outputs: Modification indices55
Assumptions57
Linearity57
Interval level variables57
Uncorrelated error58
Proper specification59
Normally distributed error59
Low multicollinearity60
Identification of the model60
Recursivity60
Adequate sample size60
Frequently Asked Questions61
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 covariance/correlation 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 hierarchical/multilevel data?67
What is partial least squares path analysis?67
What is the historical origin of path analysis?67
Bibliography69
Pagecount:74
