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Path Analysis and Hologeistic Research1

Michio Kitahara

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Abstract

Two methods of causal analysis have become popular: the Simon-Blalock method and path analysis. The Simon-Blalock method is a "weak" form of path analysis, whereas more information can be deduced by using path analysis. The Driver- Massey data, examined earlier by the Simon-Blalock method, were reanalyzed by path analysis. The result shows that a more complicated path analytic model gives a better fit with the data, and also yields additional information for more detailed analysis—making path analysis a powerful tool for examining causal relationships in hologeistic research.

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What this paper is about

Two methods of causal analysis have become popular: the Simon-Blalock method and path analysis. The Simon-Blalock method is a "weak" form of path analysis, whereas more information can be deduced by using path analysis. The Driver- Massey data, examined earlier by the Simon-Blalock method, were reanalyzed by path analysis. The result shows that a more complicated path analytic model gives a better fit with the data, and also yields additional information for more detailed analysis—making path analysis a powerful tool for examining causal relationships in hologeistic research.

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Available abstract

Two methods of causal analysis have become popular: the Simon-Blalock method and path analysis. The Simon-Blalock method is a "weak" form of path analysis, whereas more information can be deduced by using path analysis. The Driver- Massey data, examined earlier by the Simon-Blalock method, were reanalyzed by path analysis. The result shows that a more complicated path analytic model gives a better fit with the data, and also yields additional information for more detailed analysis—making path analysis a powerful tool for examining causal relationships in hologeistic research.

Key concepts: Path analysis (statistics), Causal analysis, Path (computing), Computer science, Mathematics, Statistics, Programming language

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