[PDF.77ou] Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)

Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)

[PDF.ot38] Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)

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 | #150053 in Books |  1993-02-25 | Original language:English | PDF # 1 |  8.70 x.23 x5.36l,.28 | File type: PDF | 104 pages

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||0 of 0 people found the following review helpful.| PhD analysis assistance|By Douglas Yurovich|Another great asset if your are using regression as a method of analyzing data for a masters thesis, doctoral dissertation or study. A very well written presentation on the assumptions that precede a regression analytical effort.|2 of 11 people found the following review helpful.| Author is an elitist snob|About the Author|Ph.D., University of Minnesota, 1980. Major research and teaching interests include public policy, budgeting, state politics and research methodology. Berry’s primary areas of interest are public policy, American state politics, and resear

Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homosc...

You can specify the type of files you want, for your gadget.Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)   |  William D. Berry. I was recommended this book by a dear friend of mine.

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