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| 현재위치 : 홈 > 도서목록 > 전체도서목록 > 통계 |
| Hierarchical Linear Models: Applications and Data Analysis Methods 2/e |
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| 지은이 |
: Raudenbush |
| 발행일 |
: 2002 년 |
| ISBN |
: 9780761919049 |
| 정행가 |
: 83,000 원 |
| 페이지 |
: 512 페이지 |
| 판행수 |
: 2판 |
| 출판사 |
: Sage Pub |
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| 저자 및 역자 소개 |
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| 차례 |
1. Introduction
2. The Logic of Hierarchical Linear Models
3. Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models 4. An Illustration
5. Applications in Organizational Research
6. Applications in the Study of Individual Change
7. Applications in Meta-Analysis and Other Cases where Level-1 Variances are Known
8. Three-Level Models
9. Assessing the Adequacy of Hierarchical Models
10. Hierarchical Generalized Linear Models
11. Hierarchical Models for Latent Variables
12. Models for Cross-Classified Random Effects
13. Bayesian Inference for Hierarchical Models
14. Estimation Theory
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