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The analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies / Bradley Huitema.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublisher: Hoboken : Wiley, [2011]Copyright date: ©2011Edition: Second editionDescription: xvi, 661 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 047174896X
  • 9780471748960
  • 1118067479
  • 9781118067475
Other title:
  • Statistical methods for experiments, quasi-experiments, and single-case studies
Subject(s): DDC classification:
  • 519.538 22
LOC classification:
  • QA279 .H83 2011
Contents:
Part I. Basic experimental design and analysis -- 1. Review of basic statistical methods -- 2. Review of simple correlated samples designs and associated analyses -- 3. ANOVA basics for one-factor randomized group, randomized block, and repeated measurement designs --Part II. Essentials of regression analysis -- 4. Simple linear regression -- 5. Essentials of multiple linear regression -- Part III. Essentials of simple and multiple ANCOVA -- 6. One-factor analysis of covariance -- 7. Analysis of covariance through linear regression -- 8. Assumptions and design considerations -- 9. Multiple comparison tests and confidence intervals -- 10. Multiple covariance analysis -- Part IV. Alternatives for assumption departures -- 11. Johnson-Neyman and picked-points solutions for heterogeneous regression -- 12. Nonlinear ANCOVA -- 13. Quasi-ANCOVA: when treatments affect covariates -- 14. Robust ANCOVA/robust picked points -- 15. ANCOVA for dichotomous dependent variables -- 16. Designs with ordered treatments and no covariates -- 17. ANCOVA for ordered treatments designs -- Part V. Single-case designs -- 18. Simple interrupted time-series designs -- 19. Examples of single-case AB analysis -- 20. Analysis of single-case reversal designs -- 21. Analysis of multiple-baseline designs -- Part VI. ANCOVA extensions -- 22. Power estimation -- 23. ANCOVA for randomized-block designs -- 24. Two-factor designs -- 25. Randomized pretest-posttest designs -- 26. Multiple dependent variables -- Part VII. Quasi-experiments and misconceptions -- 27. Nonrandomized studies: measurement error correction -- 28. Design and analysis of observational studies -- 29.Common ANCOVA misconceptions -- 30. Uncontrolled clinical trials -- Appendix. Statistical tables.
Summary: "A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field." --Publisher's website.
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Includes bibliographical references and index.

Part I. Basic experimental design and analysis -- 1. Review of basic statistical methods -- 2. Review of simple correlated samples designs and associated analyses -- 3. ANOVA basics for one-factor randomized group, randomized block, and repeated measurement designs --Part II. Essentials of regression analysis -- 4. Simple linear regression -- 5. Essentials of multiple linear regression -- Part III. Essentials of simple and multiple ANCOVA -- 6. One-factor analysis of covariance -- 7. Analysis of covariance through linear regression -- 8. Assumptions and design considerations -- 9. Multiple comparison tests and confidence intervals -- 10. Multiple covariance analysis -- Part IV. Alternatives for assumption departures -- 11. Johnson-Neyman and picked-points solutions for heterogeneous regression -- 12. Nonlinear ANCOVA -- 13. Quasi-ANCOVA: when treatments affect covariates -- 14. Robust ANCOVA/robust picked points -- 15. ANCOVA for dichotomous dependent variables -- 16. Designs with ordered treatments and no covariates -- 17. ANCOVA for ordered treatments designs -- Part V. Single-case designs -- 18. Simple interrupted time-series designs -- 19. Examples of single-case AB analysis -- 20. Analysis of single-case reversal designs -- 21. Analysis of multiple-baseline designs -- Part VI. ANCOVA extensions -- 22. Power estimation -- 23. ANCOVA for randomized-block designs -- 24. Two-factor designs -- 25. Randomized pretest-posttest designs -- 26. Multiple dependent variables -- Part VII. Quasi-experiments and misconceptions -- 27. Nonrandomized studies: measurement error correction -- 28. Design and analysis of observational studies -- 29.Common ANCOVA misconceptions -- 30. Uncontrolled clinical trials -- Appendix. Statistical tables.

Machine converted from AACR2 source record.

"A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field." --Publisher's website.

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