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| 005 | 20250818133713 | |
| 008 | 180205s2018 nyua b 001 0 eng d | |
| 010 | ▼a 2017013032 | |
| 020 | ▼a 9781138121409 (hard back : alk. paper) | |
| 020 | ▼a 9781138121362 (paper back : alk. paper) | |
| 020 | ▼z 9781315650982 (ebook) | |
| 035 | ▼a (KERIS)REF000018402078 | |
| 040 | ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009 | |
| 050 | 0 0 | ▼a HA29 ▼b .H783 2017 |
| 082 | 0 0 | ▼a 001.4/22 ▼2 23 |
| 084 | ▼a 001.422 ▼2 DDCK | |
| 090 | ▼a 001.422 ▼b H867m3 | |
| 100 | 1 | ▼a Hox, J. J., ▼d 1949- ▼0 AUTH(211009)172378. |
| 245 | 1 0 | ▼a Multilevel analysis : ▼b techniques and applications / ▼c Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot. |
| 250 | ▼a 3rd ed. | |
| 260 | ▼a New York, NY : ▼b Routledge, ▼c 2018. | |
| 300 | ▼a xv, 347 p. : ▼b ill. ; ▼c 23 cm. | |
| 490 | 1 | ▼a Quantitative methodology series |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Social sciences ▼x Statistical methods. |
| 650 | 0 | ▼a Analysis of variance. |
| 650 | 0 | ▼a Regression analysis. |
| 700 | 1 | ▼a Moerbeek, Mirjam, ▼d 1973- ▼0 AUTH(211009)172379. |
| 700 | 1 | ▼a Schoot, Rens van de, ▼d 1979- ▼0 AUTH(211009)172380. |
| 830 | 0 | ▼a Quantitative methodology series. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.422 H867m3 | 등록번호 111785809 (8회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 중앙도서관/서고6층/ | 청구기호 001.422 H867m3 | 등록번호 111827766 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.
Applauded for its clarity, this accessible text helps readers apply multilevel techniques to their research. Hox introduces a general framework on multilevel modeling which covers both observed and latent variables in the same model. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology.
정보제공 :
목차
Introduction to multilevel analysis The basic two-level regression model Estimation and hypothesis testing in multilevel regression Some important methodological and statistical issues Analyzing longitudinal data The multilevel generalized linear model for dichotomous data and proportions The multilevel generalized linear model for categorical and count data Multilevel survival analysis Cross-classified multilevel models Multivariate multilevel regression models The multilevel approach to meta-analysis Sample sizes and power analysis in multilevel regression Advanced issues in estimation and testing Multilevel factor models Multilevel path models Latent curve models.