단행본Quantitative applications in the social scieces 07-143 = A Sage university papers series
Multilevel modeling
- 발행사항
- Thousand Oaks: Sage Publications, 2003
- 형태사항
- 79p. , 22cm
- 총서명
- Quantitative applications in the social scieces ; 07-143 = A Sage university papers series
- 서지주기
- Includes bibliographical references
소장정보
| 위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
|---|---|---|---|---|
이용 가능 (1) | ||||
| 한국청소년정책연구원 | 00021762 | 대출가능 | - | |
이용 가능 (1)
- 등록번호
- 00021762
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 한국청소년정책연구원
책 소개
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
목차
CONTENTS
1. The Need for Multilevel Modeling
2. Basic Multilevel Modeling
3. Extending the Basic Multilevel Model
Appendices
Data sets adn Other Support Materials
Software
Other Resources
