Customer Reviews

Data Analysis: An Introduction (Quantitative Applications in the Social Sciences)

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As a Phd student in sociology, I find this booklet indispensable as a quick and easy reference guide to all the basics of social science statistical analysis. After going through more complicated texts such as Lewis-Beck's "Applied Regression: an Introduction" and Berry and Feldman's "Multiple Regression in Practice", I find this small booklet extremely helpful and clear in its explanations of the logic of basic bivariate and multiple regression analysis, as well as significance testing. It is quite useful as a tool to review the basic methods of analysis, and I especially like the list of regression assumptions at the end, all of which we had to memorize and explain for qualifying exams! I would only request a separate section and more detailed explanation of the Chi-square test, complete with application examples.

This provides a good, general overview of some aspects of beginning data analysis. It lacks some of the specific applied information that would be helpful in a reference like this. Overall, a more comprehensive "Dummies" guide would be more helpful.

An excellent primer for basic data analysis. It starts at the beginning of data gathering and discusses basic application of analysis; to include univariate statistics, measures of association, significance testing, simple and multiple regression.

I need a reference source to brush the dust off of my college statistics for a project, this book fit the bill for what I required and would recommend it for others. It is not a complex text, rather a booklet which helped me recall the basics of data analysis.