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This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.
The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .
Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
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3 人中、3人の方が、｢このレビューが参考になった｣と投票しています。
The primary textbook I consult for regression work
2011/9/6
形式:ハードカバー
This is one of the best applied statistics books I've come across. It's particularly good in its coverage of continuous by continuous variable interactions in regression as well as considering basic issues of hypothesis testing in multivariate regression. I also appreciate its discussion of historical traditions which have lead some fields to be more dependent upon regression and some more ANOVA. I haven't seen one other text that comes even close.
It can be a little difficult to connect with contemporary statistics software (e.g. Stata) and terminology at times. For example, they refer to a technique called Fisher's Protected Least Square Difference Test, which I believe to be the same a joint significance in more common regression parlance, but it is hard to confirm. These type of problems are to be expected with different fields using different terms.
One negative reviewer complains that this book is difficult. This depends on what kind of text one is comparing it to. For the deep level of very useful information that it covers, it is the most readable text I've encountered.
It can be a little difficult to connect with contemporary statistics software (e.g. Stata) and terminology at times. For example, they refer to a technique called Fisher's Protected Least Square Difference Test, which I believe to be the same a joint significance in more common regression parlance, but it is hard to confirm. These type of problems are to be expected with different fields using different terms.
One negative reviewer complains that this book is difficult. This depends on what kind of text one is comparing it to. For the deep level of very useful information that it covers, it is the most readable text I've encountered.
1 人中、1人の方が、｢このレビューが参考になった｣と投票しています。
Excellent for practicing social scientists
2009/10/28
形式:ハードカバー|Amazonが確認した購入
This is an excellent book for social scientists that run regressions. The book's focus in practical and has good discussions on violation of regression assumptions. This edition is actually an updated combination of a book by Cohen & Cohen's and a book by Aiken & West. The latter book has been heavily cited for its discussion of moderation analysis. I would complement this book with Wooldridge's excellent Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card), which covers similar ground but with an economics focus.
classic!
2012/5/9
形式:ハードカバー|Amazonが確認した購入
Well, we all know that it is a must-have for all students learning regression. I just started to read it and found that it also included multilevel issues. Cool, how could these guys be so advanced years ago?
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