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Produktbild: Regression Analysis for Categorical Moderators

Regression Analysis for Categorical Moderators

61,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.12.2003

Verlag

Guilford Publications

Seitenzahl

202

Maße (L/B/H)

23,4/15,8/2 cm

Gewicht

476 g

Sprache

Englisch

ISBN

978-1-57230-969-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.12.2003

Verlag

Guilford Publications

Seitenzahl

202

Maße (L/B/H)

23,4/15,8/2 cm

Gewicht

476 g

Sprache

Englisch

ISBN

978-1-57230-969-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Regression Analysis for Categorical Moderators

  • 1. What Is a Moderator Variable and Why Should We Care?
    Why Should We Study Moderator Variables?
    Distinction between Moderator and Mediator Variables
    Importance of A Priori Rationale in Investigating Moderating Effects
    Conclusions
    2. Moderated Multiple Regression
    What Is MMR?
    Endorsement of MMR as an Appropriate Technique
    Pervasive Use of MMR in the Social Sciences: Literature Review
    Conclusions
    3. Performing and Interpreting Moderated Multiple Regression Analysis Using Computer Programs
    Research Scenario
    Data Set
    Conducting an MMR Analysis Using Computer Programs: Two Steps
    Output Interpretation
    Conclusions
    4. Homogeneity of Error Variance Assumption
    What Is the Homogeneity of Error Variance Assumption?
    Two Distinct Assumptions: Homoscedasticity and Homogeneity of Error Variance
    Is It a Big Deal to Violate the Assumption?
    Violation of the Assumption in Published Research
    How to Check If the Homogeneity Assumption Is Violated
    What to Do When the Homogeneity of Error Variance Assumption Is Violated
    ALTMMR: Computer Program to Check Assumption Compliance and Compute Alternative Statistics If Needed
    Conclusions
    5. MMR's Low-Power Problem
    Statistical Inferences and Power
    Controversy Over Null Hypothesis Significance Testing
    Factors Affecting the Power of All Inferential Tests
    Factors Affecting the Power of MMR
    Effect Sizes and Power in Published Research
    Implications of Small Observed Effect Sizes for Social Science Research
    Conclusions
    6. Light at the End of the Tunnel: How to Solve the Low-Power Problem
    How to Minimize the Impact of Factors Affecting the Power of All Inferential Tests
    How to Minimize the Impact of Factors Affecting the Power of MMR
    Conclusions
    7. Computing Statistical Power
    Usefulness of Computing Statistical Power
    Empirically Based Programs
    Theory-Based Program
    Relative Impact of the Factors Affecting Power
    Conclusions
    8. Complex MMR Models
    MMR Analyses Including a Moderator Variable with More Than Two Levels
    Linear Interactions and Non-linear Effects: Friends or Foes?
    Testing and Interpreting Three-Way and Higher-Order Interaction Effects
    Conclusions
    9. Further Issues in the Interpretation of Moderating Effects
    Is the Moderating Effect Practically Significant?
    The Signed Coefficient Rule for Interpreting Moderating Effects
    The Importance on Identifying Criterion and Predictor A Priori
    Conclusions
    10. Summary and Conclusions
    Moderators and Social Science Theory and Practice
    Use of Moderated Multiple Regression
    Homogeneity of Error Variance Assumption
    Low Statistical Power and Proposed Remedies
    Complex MMR Models
    Assessing Practical Significance
    Conclusions
    Appendix A. Computation of Bartlett's (1937) MStatistic
    Appendix B. Computation of James's (1951) J Statistic
    Appendix C. Computation of Alexander's (Alexander & Govern, 1994) A Statistic
    Appendix D. Computation of Modified f2
    Appendix E. Theory-Based Power Approximation
    References
    Name Index
    Subject Index