1.

Record Nr.

UNINA9910450733203321

Autore

Bakeman Roger

Titolo

Understanding statistics in the behavioral sciences [[electronic resource] /] / by Roger Bakeman, Byron F. Robinson

Pubbl/distr/stampa

Mahwah, N.J., : Lawrence Erlbaum Associates, 2005

ISBN

1-282-32380-6

9786612323805

1-4106-1262-7

Descrizione fisica

1 online resource (380 p.)

Altri autori (Persone)

RobinsonByron F

Disciplina

150/.1/5195

Soggetti

Psychology - Statistical methods

Social sciences - Statistical methods

Psychometrics

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. 301-302) and indexes.

Nota di contenuto

Contents; 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

12 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

Sommario/riassunto

Understanding 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 f