Regression analysis for categorical moderators/ (Record no. 172592)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 00414nam a2200145Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1572309695 (acid-free paper) |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.536 |
| Item number | AGU/R |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Aguinis, Herman |
| 245 #0 - TITLE STATEMENT | |
| Title | Regression analysis for categorical moderators/ |
| Statement of responsibility, etc. | Herman Aguinis |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York :: |
| Name of publisher, distributor, etc. | Guilford Press, |
| Date of publication, distribution, etc. | c2004. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi, 202 p. : |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. What Is a Moderator Variable and Why Should We Care?Why Should We Study Moderator Variables?Distinction between Moderator and Mediator VariablesImportance of A Priori Rationale in Investigating Moderating EffectsConclusions<br/>2. Moderated Multiple RegressionWhat Is MMR?Endorsement of MMR as an Appropriate TechniquePervasive Use of MMR in the Social Sciences: Literature ReviewConclusions<br/>. Performing and Interpreting Moderated Multiple Regression Analysis Using Computer ProgramsResearch ScenarioData SetConducting an MMR Analysis Using Computer Programs: Two StepsOutput InterpretationConclusions<br/>4. Homogeneity of Error Variance AssumptionWhat 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 NeededConclusions5. MMR's Low-Power Problem Statistical Inferences and Power Controversy Over Null Hypothesis Significance TestingFactors 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<br/>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<br/>7. Computing Statistical Power Usefulness of Computing Statistical Power Empirically Based Programs Theory-Based Program Relative Impact of the Factors Affecting Power Conclusions<br/>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<br/> 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 Conclusion<br/>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<br/> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 29/08/2016 | 519.536 AGU/R | P27572 | 29/08/2016 | General Books |