"Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the "art" of data analysis from data-gathering to multiple regression in which a dependent variable is ...
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REFERENCES ALDRICH, J., and NELSON, F. (1984) Linear Probability, Logit, and Probit Models. Sage University Paper series on Quantitative Applications in the ... BERRY, W. D., and FELDMAN, S. (1985). Multiple Regression in Practice.
Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data.
This volume reviews the most important recent advances in quantitative social science methodology.