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Understanding multivariate research : a primer for beginning social scientists / William D. Berry, Mitchell S. Sanders.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Berry, William Dale.
Contributor:
Sanders, Mitchell S.
Language:
English
Subjects (All):
Social sciences--Research--Methodology.
Social sciences.
Multivariate analysis.
Regression analysis.
Physical Description:
1 online resource (105 p.)
Edition:
First edition.
Place of Publication:
Boulder, Colo. : Westview Press, 2000.
Language Note:
English
Summary:
"Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work."--Provided by publisher.
Contents:
Contents; Tables and Figures; Preface for Teachers and Students; Acknowledgments; 1 Introduction; 2 The Bivariate Regression Model; 3 The Multivariate Regression Model; 4 Evaluating Regression Results; 5 Some Illustrations of Multiple Regression; 6 Advanced Topics; 7 Conclusion; Glossary; References; Index
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on metadata supplied by the publisher and other sources.
ISBN:
9786613276575
9780429982996
0429982992
9780429971914
0429971915
9781283276573
1283276577
9780813346281
0813346282
OCLC:
746747168

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