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Analysis of Variance and Functional Measurement : A Practical Guide.

By: Contributor(s): Material type: TextTextPublisher: Oxford : Oxford University Press, Incorporated, 2005Copyright date: ©2006Edition: 1st edDescription: 1 online resource (278 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780195346053
Subject(s): Genre/Form: Additional physical formats: Print version:: Analysis of Variance and Functional MeasurementDDC classification:
  • 519.5/38
LOC classification:
  • QA279.W427 2006
Online resources:
Contents:
Intro -- Contents -- 1 Introduction -- 2 One-Way ANOVA -- 3 Using the Computer -- 4 Factorial Structure -- 5 Two-Way ANOVA -- 6 Multifactor Designs -- 7 Error-Purifying Designs -- 8 Specific Comparisons -- 9 Measurement Issues -- 10 Strength of Effect -- 11 Nested Designs -- 12 Missing Data -- 13 Confounded Designs -- 14 Introduction to Functional Measurement -- Appendix A: F Table -- Appendix B: CALSTAT -- Terms from Introductory Statistics -- References -- Author Index -- A -- B -- C -- D -- E -- F -- G -- H -- J -- K -- L -- M -- O -- P -- R -- S -- T -- V -- W -- Y -- Z -- Subject Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Z.
Summary: Statistics courses, particularly those on analysis of variance, have become increasingly important in undergraduate and graduate curricula in psychology. Although professionals and students need to have facility with numbers where data analysis and statistics are concerned, many of them sometimes falter when it comes to translating results into reportable, meaningful prose. Thus, they need thoughtful, readable guides to designing experiments, performing analyses, interpreting results correctly, and reporting results statistically and in plain language. David Weiss has created such a guide from the course on statistics for psychology students that he has taught for over 30 years. Beginning with the basics, then proceeding to more advanced concepts, and including exercises and discussions of how to present the results, this volume explains ANOVA, probably the most common set of statistical techniques for analyzing the results of controlled or quasi-controlled experiments. The volume will also contain a software package, CALSTAT, designed to help students learn statistics more easily than general packages like SPSS or SAS. The volume will be an important resource for students and professionals in the social, behavioral, and neurosciences.
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Intro -- Contents -- 1 Introduction -- 2 One-Way ANOVA -- 3 Using the Computer -- 4 Factorial Structure -- 5 Two-Way ANOVA -- 6 Multifactor Designs -- 7 Error-Purifying Designs -- 8 Specific Comparisons -- 9 Measurement Issues -- 10 Strength of Effect -- 11 Nested Designs -- 12 Missing Data -- 13 Confounded Designs -- 14 Introduction to Functional Measurement -- Appendix A: F Table -- Appendix B: CALSTAT -- Terms from Introductory Statistics -- References -- Author Index -- A -- B -- C -- D -- E -- F -- G -- H -- J -- K -- L -- M -- O -- P -- R -- S -- T -- V -- W -- Y -- Z -- Subject Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Z.

Statistics courses, particularly those on analysis of variance, have become increasingly important in undergraduate and graduate curricula in psychology. Although professionals and students need to have facility with numbers where data analysis and statistics are concerned, many of them sometimes falter when it comes to translating results into reportable, meaningful prose. Thus, they need thoughtful, readable guides to designing experiments, performing analyses, interpreting results correctly, and reporting results statistically and in plain language. David Weiss has created such a guide from the course on statistics for psychology students that he has taught for over 30 years. Beginning with the basics, then proceeding to more advanced concepts, and including exercises and discussions of how to present the results, this volume explains ANOVA, probably the most common set of statistical techniques for analyzing the results of controlled or quasi-controlled experiments. The volume will also contain a software package, CALSTAT, designed to help students learn statistics more easily than general packages like SPSS or SAS. The volume will be an important resource for students and professionals in the social, behavioral, and neurosciences.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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