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An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus 3rd ed

An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus 3rd ed (39회 대출)

자료유형
단행본
개인저자
Heck, Ronald H. Thomas, Scott Loring.
서명 / 저자사항
An introduction to multilevel modeling techniques : MLM and SEM approaches using Mplus / Ronald H. Heck and Scott L. Thomas.
판사항
3rd ed.
발행사항
New York, NY :   Routledge,   2015.  
형태사항
xviii, 440 p. ; 23 cm.
총서사항
Quantitative methodology series
ISBN
9781848725515 (hardback : alk. paper) 9781848725522 (pbk. : alk. paper)
서지주기
Includes bibliographical references and index.
일반주제명
Social sciences --Mathematical models. Social sciences --Research --Mathematical models.
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020 ▼a 9781848725515 (hardback : alk. paper)
020 ▼a 9781848725522 (pbk. : alk. paper)
020 ▼z 9781315746494 (ebook : alk. paper)
035 ▼a (KERIS)REF000017563329
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
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082 0 0 ▼a 001.4/22 ▼2 23
084 ▼a 001.422 ▼2 DDCK
090 ▼a 001.422 ▼b H448i3
100 1 ▼a Heck, Ronald H.
245 1 3 ▼a An introduction to multilevel modeling techniques : ▼b MLM and SEM approaches using Mplus / ▼c Ronald H. Heck and Scott L. Thomas.
250 ▼a 3rd ed.
260 ▼a New York, NY : ▼b Routledge, ▼c 2015.
300 ▼a xviii, 440 p. ; ▼c 23 cm.
490 1 ▼a Quantitative methodology series
504 ▼a Includes bibliographical references and index.
650 0 ▼a Social sciences ▼x Mathematical models.
650 0 ▼a Social sciences ▼x Research ▼x Mathematical models.
700 1 ▼a Thomas, Scott Loring.
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 H448i3 등록번호 111735493 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 중앙도서관/서고6층/ 청구기호 001.422 H448i3 등록번호 111758234 도서상태 파오손 반납예정일 예약 서비스 M

컨텐츠정보

목차

1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Defining Multilevel Latent Variables 6. Multilevel Structural Equation Models 7. Methods for Examining Individual and Organizational Change 8. Multilevel Models with Categorical Variables 9. Multilevel Mixture Models 10. Data Consideration in Examining Multilevel Models


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