Multilevel analysis for applied research: it's just regression/ (Record no. 172589)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00409nam a2200145Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781593854294 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 001.422 |
| Item number | BIC/M |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bickel, Robert |
| 245 #0 - TITLE STATEMENT | |
| Title | Multilevel analysis for applied research: it's just regression/ |
| Statement of responsibility, etc. | Robert Bickel |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York: |
| Name of publisher, distributor, etc. | The Guilford Press, |
| Date of publication, distribution, etc. | 2007. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 355p.p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Broadening the Scope of Regression Analysis<br/>1.1.Chapter Introduction<br/>1.2. Why Use Multilevel Regression Analysis?<br/>1.3. Limitations of Available Instructional Material<br/>1.4. Multilevel Regression Analysis in Suggestive Historical Context<br/>1.5. It's Just Regression under Specific Circumstances<br/>1.6. Jumping the Gun to a Multilevel Illustration<br/>1.7. Summing Up<br/>1.8. Useful Resources<br/>2. The Meaning of Nesting<br/>2.1. Chapter Introduction<br/>2.2. Nesting Illustrated: School Achievement and Neighborhood Quality<br/>2.3. Nesting Illustrated: Comparing Public and Private Schools<br/>2.4. Cautionary Comment on Residuals in Multilevel Analysis<br/>2.5. Nesting and Correlated Residuals<br/>.6. Nesting and Effective Sample Size<br/>2.7. Summing Up<br/>.8. Useful Resources<br/>3. Contextual Variables<br/>3.1. Chapter Introduction<br/>3.2. Contextual Variables and Analytical Opportunities<br/>3.3. Contextual Variables and Independent Observations<br/>3.4. Contextual Variables and Independent Observations: A Nine-Category Dummy Variable<br/>3.5. Contextual Variables, Intraclass Correlation, and Misspecification<br/>3.6. Contextual Variables and Varying Parameter Estimates<br/>3.7. Contextual Variables and Covariance Structure<br/>3.8. Contextual Variables and Degrees of Freedom<br/>3.9. Summing Up<br/>3.10. Useful Resources<br/>4. From OLS to Random Coefficient to Multilevel Regression<br/>4.1. Chapter Introduction<br/>4.2. Simple Regression Equation<br/>4.3. Simple Regression with an Individual-Level Variable<br/>4.4. Multiple Regression: Adding a Contextual Variable<br/>4.5. Nesting (Again!) with a Contextual Variable<br/>4.6. Is There a Problem with Degrees of Freedom?<br/>4.7. Is There a Problem with Dependent Observations?<br/>4.8. Alternatives to OLS Estimators Pt; FONT-FAMILY: Arial; mso-bidi-font-weight: bold"<br/>"4.9. The Conceptual Basis of ML Estimators<br/>4.10. Desirable Properties of REML Estimators<br/>4.11. Applying REML Estimators with Random Coefficient Regression Models<br/>4.12. Fixed Components and Random Components<br/>4.13. Interpreting Random Coefficients: Developing a Cautionary Comment<br/>4.14. Subscript Conventions<br/>4.15. Percentage of Variance Explained for Random Coefficient and Multilevel Models<br/>4.16. Grand-Mean Centering<br/>.17. Grand-Mean Centering, Group-Mean Centering, and Raw Scores Compared<br/>4.18. Summing Up <br/>4.19. Useful Resources<br/>5. Developing the Multilevel Regression Model<br/>5.1. Chapter Introduction<br/>5.2. From Random Coefficient Regression to Multilevel Regression<br/>5.3. Equations for a Random Intercept and Random Slope<br/>5.4. Subscript Conventions for Two-Level Models: Gamma Coefficients<br/>5.5. The Full Equation<br/>5.6. An Implied Cross-Level Interaction Term<br/>5.7. Estimating a Multilevel Model: The Full Equation<br/>5.8. A Multilevel Model with a Random Slope and Fixed Slopes at Level One<br/>5.9. Complexity and Confusion: Too Many Random Components<br/>5.10. Interpreting Multilevel Regression Equations<br/>5.11. Comparing Interpretations of Alternative Specifications<br/>5.12. What Happened to the Error Term?<br/>5.13. Summing Up<br/>5.14. Useful Resources<br/>6. Giving OLS Regression Its Due<br/>6.1. Chapter Introduction<br/>6.2. An Extended Exercise with County-Level Data<br/>6.3. Tentative Specification of an OLS Regression Model<br/>6.4. Preliminary Regression Results<br/>6.5. Surprise Results and Possible Violation of OLS Assumptions<br/>6.6. Curvilinear Relationships: YBUSH by XBLACK, XHISPANIC, XNATIVE<br/>6.7. Quadratic Functional Form<br/>6.8. A Respecified OLS Regression Model<br/>6.9. Interpreting Quadratic Relationships<br/>6.10. Nonadditivity and Interaction Terms<br/>6.11. Further Respecification of the Regression Model<br/>6.12. Clarifying OLS Interaction Effects<br/>6.13. Results for the Respecified OLS Regression Equation for County-Level Data<br/>6.14. Summing Up<br/>6.15. Useful Resources |
| 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 | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 29/08/2016 | 001.422 BIC/M | P27569 | 13/07/2018 | 13/07/2018 | General Books |