Applied statistics : from bivariate through multivariate techniques /
Rebecca M. Warner.
- 2nd ed.
- Thousand Oaks, Calif. : SAGE Publications, c2013.
- xxxiii, 1172 p. : ill. ; 26 cm.
Includes bibliographical references and index.
Review of basic concepts -- Basic statistics, sampling error, and confidence intervals -- Statistical significance testing -- Preliminary data screening -- Comparing group means using the independent samples t test -- One-way between-subjects analysis of variance -- Bivariate Pearson correlation -- Alternative correlation coefficients -- Bivariate regression -- Adding a third variable: preliminary exploratory analyses -- multiple regression with two predictor variables -- Dummy predictor variables in multiple regression -- Factorial analysis of variance -- Multiple regression with more than two predictors -- Moderation: tests for interaction in multiple regression -- Mediation -- Analysis of co-variance -- Discriminant analysis -- Multivariate analysis of variance -- Principal components and factor analysis -- Reliability, validity, and multiple-item scales -- Analysis of repeated measures -- Binary logistic regression -- Appendix A: proportions of area under a standard normal normal curve -- Appendix B: critical values for t distribution -- Appendix C: critical values for f -- Appendix D: critical values of chi-square -- Appendix E: critical values of the Pearson correlation coefficient -- Appendix F: critical values of the studentized range statistic -- Appendix G: transformation of r (Pearson correlation) to Fisher Z -- Glossary.
9781412991346 (cloth) 141299134X (cloth)
2012001382
Social sciences--Statistical methods. Psychology--Statistical methods. Multivariate analysis. STA340