On 2008-10-15 1000Books, NY,NY wrote: I had to write a review as I could not disagree more with the other review. Causal modeling is essentially the basics of all quantitative modeling, but few find themselves in a place where they are excited to go back to the basics and actually draw out the silly little charts to show the pathways relationships between a and b. For someone who has been running random regressions and has finally come to the conclusion that there is more to life than correlations that might just be spurious, this is a book. There are other great books on this subject as well, but they are not as short as this one. I love it as an intro and would recommend it. . And summed up by saying I actually loved this book!. Currently Causal Modeling (Quantitative Applications in the Social Sciences) has an overall rating of 6 over 10.
Causal Modeling (Quantitative Applications in the Social Sciences) can also be found in the following searches:
Herbert B. Asher claimed A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on to recursive and non-recursive path estimation. Special attention is given to a number of problems in the causal analysis of data, with illustrations from studies in political socialization and voting behaviour.
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