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Produktbild: ANOVA and ANCOVA 2e

ANOVA and ANCOVA 2e A Glm Approach

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

25.10.2011

Abbildungen

Charts: 0 B&W, 0 Color; Drawings: 10 B&W, 0 Color; Screen captures: 6 B&W, 0 Color; Graphs: 11 B&W, 0 Color

Verlag

John Wiley & Sons

Seitenzahl

360

Maße (L/B/H)

24/16.1/2.4 cm

Gewicht

707 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-470-38555-5

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

25.10.2011

Abbildungen

Charts: 0 B&W, 0 Color; Drawings: 10 B&W, 0 Color; Screen captures: 6 B&W, 0 Color; Graphs: 11 B&W, 0 Color

Verlag

John Wiley & Sons

Seitenzahl

360

Maße (L/B/H)

24/16.1/2.4 cm

Gewicht

707 g

Auflage

2nd edition

Sprache

Englisch

ISBN

978-0-470-38555-5

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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Die Leseprobe wird geladen.
  • Produktbild: ANOVA and ANCOVA 2e
  • Acknowledgments.
     
    CHAPTER 1 AN INTRODUCTION TO GENERAL LINEAR MODELS: REGRESSION, ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE.
     
    1.1 Regression, analysis of variance and analysis of covariance.
     
    1.2 A pocket history of regression, ANOVA and ANCOVA.
     
    1.3 An outline of general linear models (GLMs).
     
    1.4 The "general" in GLM.
     
    1.5 The "linear" in GLM.
     
    1.6 Least squares estimates.
     
    1.7 Fixed, random and mixed effects analyses.
     
    1.8 The benefits of a GLM approach to ANOVA and ANCOVA.
     
    1.9 The GLM presentation.
     
    1.10 Statistical packages for computers.
     
    CHAPTER 2 TRADITIONAL AND GLM APPROACHES TO INDEPENDENT MEASURES SINGLE FACTOR DESIGNS.
     
    2.1 Independent measures designs.
     
    2.2 Balanced data designs.
     
    2.3 Factors and independent variables.
     
    2.4 An outline of traditional ANOVA for single factor designs.
     
    2.5 Variance.
     
    2.6 Traditional ANOVA calculations for single factor designs.
     
    2.7 GLM approaches to single factor ANOVA.
     
    CHAPTER 3 COMPARING EXPERIMENTAL CONDITION MEANS, MULTIPLE HYPOTHESIS TESTING, TYPE 1 ERROR AND A BASIC DATA ANALYSIS STRATEGY.
     
    3.1 Introduction.
     
    3.2 Comparisons between experimental condition means.
     
    3.3 Linear contrasts.
     
    3.4 Comparison sum of squares.
     
    3.5 Orthogonal contrasts.
     
    3.6 Testing multiple hypotheses.
     
    3.7 Planned and unplanned comparisons.
     
    3.8 A basic data analysis strategy.
     
    3.9 The Role of the Omnibus F-Test.
     
    CHAPTER 4 SIGNIFICANCE TESTING, CONFIDENCE INTERVALS, EFFECT SIZE AND POWER.
     
    4.1 Introduction.
     
    4.2 Effect size as a standardized mean difference.
     
    4.3 Effect size as strength of association (SOA).
     
    4.4 Small, medium and large effect sizes.
     
    4.5 Effect size in related measures designs.
     
    4.6 Overview of standardized mean difference and SOA measures of effect size.
     
    4.7 Power.
     
    CHAPTER 5 GLM APPROACHES TO INDEPENDENT MEASURES FACTORIAL DESIGNS.
     
    5.1 Factorial designs.
     
    5.2 Factor main effects and factor interactions.
     
    5.3 Regression GLMs for factorial ANOVA.
     
    5.4 Estimating effects with incremental analysis.
     
    5.5 Effect size estimation.
     
    5.6 Further analyses.
     
    5.7 Power.
     
    CHAPTER 6 GLM APPROACHES TO RELATED MEASURES DESIGNS.
     
    6.1 Introduction.
     
    6.2 Order effect controls.
     
    6.3 The GLM approach to single factor repeated measures designs.
     
    6.4 Estimating effects by comparing Full and Reduced repeated measures design GLMs.
     
    6.5 Regression GLMs for single factor repeated measures designs.
     
    6.6 Effect size estimation.
     
    6.7 Further analyses.
     
    6.8 Power.
     
    CHAPTER 7 GLM APPROACHES TO FACTORIAL RELATED MEASURES DESIGNS.
     
    7.1 Factorial related measures designs.
     
    7.2 Fully related factorial design.
     
    7.3 Estimating effects by comparing Full and Reduced experimental design GLMs.
     
    7.4 Regression GLMs for the fully related factorial ANOVA.
     
    7.5 Effect size estimation.
     
    7.6 Further analyses.
     
    7.7 Power.
     
    CHAPTER 8 GLM APPROACHES TO FACTORIAL MIXED MEASURES DESIGNS.
     
    8.1 Factorial mixed measures designs.
     
    8.2 Estimating effects by comparing Full and Reduced experimental design GLMs.
     
    8.3 Regression GLM for the two factor mixed measures ANOVA.
     
    8.4 Effect size estimation.
     
    8.5 Further analyses.
     
    8.6 Power.
     
    CHAPTER 9 THE GLM APPROACH TO ANCOVA.
     
    9.1 The nature of ANCOV