Learn to perform path analysis in Stata with data from the General Social Survey (2016) /
This dataset introduces readers to path analysis. Path analysis is a special case of structural equation modeling (SEM) with only observed variables that allows for models with multiple dependent variables. Many path analyses include causally linked dependent variables modeled as mediators. These mo...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2019.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | This dataset introduces readers to path analysis. Path analysis is a special case of structural equation modeling (SEM) with only observed variables that allows for models with multiple dependent variables. Many path analyses include causally linked dependent variables modeled as mediators. These models allow effects to be decomposed into direct effects and indirect effects. This example introduces readers to the basic theory and assumptions associated with path analysis, estimators and the interpretation of estimates, the associated hypothesis tests, results production, and reporting. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781529700114 1529700116 |