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Applied statistics : from bivariate through multivariate techniques / Rebecca M. Warner.

By: Publication details: Thousand Oaks, Calif. : SAGE Publications, c2013.Edition: 2nd edDescription: xxxiii, 1172 p. : ill. ; 26 cmISBN:
  • 9781412991346 (cloth)
  • 141299134X (cloth)
Subject(s): DDC classification:
  • 519.5/35 23
LOC classification:
  • HA31.35 .W37 2013
Contents:
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.
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Books URBE Library General Stacks Non-fiction HA31.35 .W37 2013 Copy 2 (Browse shelf(Opens below)) 2 Available 0399
Total holds: 0

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.

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