LEADER 05633nam 2200673 a 450 001 9910783508003321 005 20221216184100.0 010 $a1-282-32380-6 010 $a9786612323805 010 $a1-4106-1262-7 035 $a(CKB)1000000000244784 035 $a(EBL)227516 035 $a(OCoLC)71822362 035 $a(SSID)ssj0000264681 035 $a(PQKBManifestationID)11246798 035 $a(PQKBTitleCode)TC0000264681 035 $a(PQKBWorkID)10292123 035 $a(PQKB)10007407 035 $a(MiAaPQ)EBC227516 035 $a(MiAaPQ)EBC5292887 035 $a(Au-PeEL)EBL227516 035 $a(CaPaEBR)ebr10106609 035 $a(CaONFJC)MIL601019 035 $a(Au-PeEL)EBL5292887 035 $a(CaONFJC)MIL232380 035 $a(OCoLC)1027147420 035 $a(EXLCZ)991000000000244784 100 $a20040930d2005 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUnderstanding statistics in the behavioral sciences /$fby Roger Bakeman, Byron F. Robinson 210 $aMahwah, N.J. $cLawrence Erlbaum Associates$d2005 215 $a1 online resource (380 pages) 300 $aDescription based upon print version of record. 311 $a1-138-01284-X 311 $a0-8058-4944-0 320 $aIncludes bibliographical references (p. 301-302) and indexes. 327 $aContents; Preface; 1 Preliminaries: How to Use This Book; 2 Getting Started: The Logic of Hypothesis Testing; 3 Inferring From a Sample: The Binomial Distribution; 4 Measuring Variables: Some Basic Vocabulary; 5 Describing a Sample: Basic Descriptive Statistics; 6 Describing a Sample: Graphical Techniques; 7 Inferring From a Sample: The Normal and t Distributions; 8 Accounting for Variance: A Single Predictor; 9 Bivariate Relations: The Regression and Correlation Coefficients; 10 Inferring From a Sample: The F Distribution; 11 Accounting for Variance: Multiple Predictors 327 $a12 Single-Factor Between-Subjects Studies 13 Planned Comparisons, Post Hoc Tests, and Adjusted Means; 14 Studies With Multiple Between-Subjects Factors; 15 Single-Factor Within-Subjects Studies; 16 Two-Factor Studies With Repeated Measures; 17 Power, Pitfalls, and Practical Matters; References; Glossary of Symbols and Key Terms; Appendix A: SAS exercises; Appendix B: Answers To Selected Exercises; Appendix C: Statistical Tables; Author Index; Subject Index 330 $aUnderstanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulas are reduced. New ideas are presented in the context of a few recurring examples, which allows readers to focus more on the new statistical concepts than on the details of different studies. The authors'selection and organization of topics is slightly different from the ordinary introductory textbook. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression. With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance. This integrated approach helps to simplify topics that often cause confusion.Understanding Statistics in the Behavioral Sciences features:?Computer-based exercises, many of which rely on spreadsheets, help the reader perform statistical analyses and compare and verify the results using either SPSS or SAS. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providing a deeper understanding of the basic concepts. Key terms and symbols are boxed when first introduced and repeated in a glossary to make them easier to find at review time. Numerous tables and graphs, including spreadsheet printouts and figures, help students visualize the most critical concepts. This book is intended as a text for introductory behavioral science statistics. It will appeal to instructors who want a relatively brief text. The book's active approach to learning, works well both in the classroom and for individual self-study. 606 $aPsychology$xStatistical methods$vTextbooks 606 $aSocial sciences$xStatistical methods$vTextbooks 606 $aPsychometrics$vTextbooks 615 0$aPsychology$xStatistical methods 615 0$aSocial sciences$xStatistical methods 615 0$aPsychometrics 676 $a150/.1/5195 700 $aBakeman$b Roger$0259708 701 $aRobinson$b Byron F$01584606 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783508003321 996 $aUnderstanding statistics in the behavioral sciences$93868529 997 $aUNINA