Path Analysis (Statistical Associates Blue Book Series 22)

Path Analysis (Statistical Associates Blue Book Series 22)

An illustrated tutorial and introduction to path analysis using SPSS, AMOS, SAS, or Stata. Suitable for introductory graduate-level study.<br /><br />The 2014 edition is a major update to the 2012 edition. Among the new features are these:<br /><br />* Over double the page length (74 pp. rather than 35)<br /><br />* Over four times as many illustrative figures (45 rather than 11)<br /><br />* Now covers SAS and Stata as well as SPSS and AMOS<br /><br />* Covers both regression-based and SEM-based methods<br /><br />* Totally rewritten and reformatted, with new FAQs added<br /><br />* Links to download datasets used in the text. <br /><br />Below is the unformatted table of contents.<br /><br />PATH ANALYSIS<br />Overview6<br />Key Concepts and Terms7<br />Estimation7<br />Path model7<br />Exogenous and endogenous variables8<br />Disturbance terms8<br />Causal paths9<br />Path Coefficients9<br />Path coefficents/weights9<br />Path multiplication rule11<br />Effect decomposition11<br />Path analysis example in OLS regression13<br />Overview13<br />SPSS regression method13<br />SAS regression method16<br />Stata regression method17<br />Path analysis example in SEM17<br />SEM example data17<br />SEM in SPSS Amos, SAS, and Stata18<br />Path analysis in SPSS AMOS19<br />AMOS Inputs19<br />AMOS outputs: Path estimates25<br />AMOS outputs: Partition of total effects27<br />AMOS outputs: Goodness of Fit measures29<br />AMOS outputs: Correlations34<br />AMOS outputs: Modification indexes35<br />Path Analysis in SAS PROC CALIS36<br />Overview36<br />SAS inputs37<br />SAS outputs: Path estimates39<br />SAS outputs: Partition of total effects40<br />SAS outputs: Goodness of fit measures41<br />SAS outputs: Correlations45<br />SAS outputs: Modification indices46<br />Path Analysis in Stata47<br />Overview47<br />Stata inputs48<br />Stata outputs: Path estimates49<br />Stata outputs: Partition of total effects51<br />Stata outputs: Goodness of fit measures53<br />Stata outputs: Correlations55<br />Stata outputs: Modification indices55<br />Assumptions57<br />Linearity57<br />Interval level variables57<br />Uncorrelated error58<br />Proper specification59<br />Normally distributed error59<br />Low multicollinearity60<br />Identification of the model60<br />Recursivity60<br />Adequate sample size60<br />Frequently Asked Questions61<br />Does path analysis confirm causation in a model?61<br />Can path analysis be used for exploratory rather than confirmatory purposes?61<br />How does the significance of a path coefficient compare with the significance of the corresponding regression coefficient?62<br />Why might the direct effect be zero?62<br />What is Simpson's paradox?62<br />What is Berkson's paradox (case-control bias)?63<br />How are path coefficients related to a covariance/correlation matrix for purposes of testing a model?64<br />How, exactly, can I compute path coefficients in the regression method?65<br />How do I compute the value of the path from an error term to an endogenous variable?66<br />How can multiple group path analysis determine if the path model differs across groups in my sample?66<br />Could I substitute logistic regression when doing effect decomposition?67<br />Can path analysis handle hierarchical/multilevel data?67<br />What is partial least squares path analysis?67<br />What is the historical origin of path analysis?67<br />Bibliography69<br />Pagecount:74<br />