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Research Methods, Statistics & Evaluation – Fall 2016

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SAGE 800.818.7243 OR 805.499.9774 6 A.M. TO 5 P.M. PT FAX: 805.375.5291 24 FOR YOUR BOOKSHELF Quantitative Applications in the Social Sciences (QASS) UNDERSTANDING REGRESSION ANALYSIS: An Introductory Guide SECOND EDITION, VOLUME 57 Larry D. Schroeder, Syracuse University • David L. Sjoquist, Georgia State University • Paula E. Stephan, Georgia State University Providing a non-technical explanation of linear regression analysis, its meaning and uses, this revised Second Edition illustrates how regression coeffi cients are estimated, how they are interpreted, and how they are used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations or specialized jargon, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coeffi cients, associated statistics, and hypothesis tests. The Second Edition has been updated throughout and features all- new examples and new references to modern software output. CONTENTS 1. Linear Regression / 2. Multiple Linear Regression / 3. Hypothesis Testing / 4. Extensions to the Multiple Regression Model / 5. Problems and Issues of Linear Regression / Appendix A: Derivation of a and b / Appendix B: Critical Values for Student's t Distribution / Appendix C: Regression Output from SAS, Stata, SPSS, R, and Excel / Appendix D: Suggested Textbooks PAPERBACK: $22.00 • ISBN: 978-1-5063-3288-8 • NOVEMBER 2016 • 128 PAGES • • online resources UPDATED EDITION OF BEST SELLER APPLIED REGRESSION: An Introduction SECOND EDITION, VOLUME 22 Colin Lewis-Beck, Iowa State University • Michael Lewis-Beck, The University of Iowa 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. After covering the basic idea of fi tting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. The authors then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fi t, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientifi c questions. CONTENTS 1. Bivariate Regression: Fitting a Straight Line / 2. Bivariate Regression: Assumptions and Inferences / 3. Multiple Regression: The Basics / 4. Multiple Regression: Special Topics PAPERBACK: $22.00 • ISBN: 978-1-4833-8147-3 • ©2016 • 120 PAGES • • online resources RANDOMIZED RESPONSE AND RELATED METHODS: Surveying Sensitive Data SECOND EDITION, VOLUME 58 James Alan Fox, Northeastern University Randomized response is a data collection strategy specifi cally designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition signifi cantly updates and expands what was, at the time, the fi rst comprehensive and practical guide to randomized response. CONTENTS 1. Surveying Sensitive Topics / 2. The Randomized Response Technique / 3. Design Considerations in Randomized Response / 4. Alternatives to Randomized Response / 5. Extensions of Randomized Response / 6. Analyzing Randomized Response Data / 7. Applications of Randomized Response Methods / 8. Epilogue PAPERBACK: $22.00 • ISBN: 978-1-4833-8103-9 • ©2016 • 144 PAGES • • T he Little Green Books, as SAGE's Quantitative Applications in the Social Sciences (QASS) series is called, are celebrating 40 years of serving countless students, instructors, and researchers in learning cutting-edge quantitative techniques! These brief volumes address specifi c quantitative topics including Regression Models, Data Analysis, Structural Equation Modeling, Experimental Design, Factor Analysis, Measurement, ANOVA, Survey Data, and more. Please visit sagepub.com/QASS for information on the complete series and current special offers. NEW! Celebrating 40 YEARS!

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