HOME > 상세정보

상세정보

Higher-order growth curves  and mixture modeling with Mplus : a practical guide / 2nd ed

Higher-order growth curves and mixture modeling with Mplus : a practical guide / 2nd ed

자료유형
단행본
개인저자
Wickrama, K. A. S., author
서명 / 저자사항
Higher-order growth curves and mixture modeling with Mplus : a practical guide / Kandauda A. S. Wickrama ... [et al.].
판사항
2nd ed.
발행사항
New York, NY :   Routledge,   2022.  
형태사항
xviii, 326 p. : ill. ; 26 cm.
총서사항
Multivariate applications series
ISBN
9780367746209 9780367711269
요약
"This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book's datasets are available on the web. New to this edition: - Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using Mplus program. Complete with exercises, answer keys, and downloadable data files. - Updated illustrative examples using Mplus 8.0 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behaviorial sciences"--
서지주기
Includes bibliographical references and index.
일반주제명
Linear models (Statistics). Mathematical statistics.
000 00000cam u22002058a 4500
001 000046111576
005 20220503132239
008 220331s2022 nyua b 001 0 eng
010 ▼a 2021025885
020 ▼a 9780367746209 ▼q (hardback)
020 ▼a 9780367711269 ▼q (paperback)
020 ▼z 9781003158769 ▼q (ebook)
035 ▼a (KERIS)REF000019629216
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
042 ▼a pcc
050 0 0 ▼a QA279 ▼b .W533 2022
082 0 0 ▼a 519.5 ▼2 23
084 ▼a 519.5 ▼2 DDCK
090 ▼a 519.5 ▼b H638-2
100 1 ▼a Wickrama, K. A. S., ▼e author ▼0 AUTH(211009)145512.
245 1 0 ▼a Higher-order growth curves and mixture modeling with Mplus : ▼b a practical guide / ▼c Kandauda A. S. Wickrama ... [et al.].
250 ▼a 2nd ed.
260 ▼a New York, NY : ▼b Routledge, ▼c 2022.
264 1 ▼a New York, NY : ▼b Routledge, ▼c 2022.
300 ▼a xviii, 326 p. : ▼b ill. ; ▼c 26 cm.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a unmediated ▼b n ▼2 rdamedia
338 ▼a volume ▼b nc ▼2 rdacarrier
490 1 ▼a Multivariate applications series
504 ▼a Includes bibliographical references and index.
520 ▼a "This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps. The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book's datasets are available on the web. New to this edition: - Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using Mplus program. Complete with exercises, answer keys, and downloadable data files. - Updated illustrative examples using Mplus 8.0 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data. This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behaviorial sciences"-- ▼c Provided by publisher.
630 0 0 ▼a Mplus.
650 0 ▼a Linear models (Statistics).
650 0 ▼a Mathematical statistics.
830 0 ▼a Multivariate applications series.
945 ▼a ITMT

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고7층/ 청구기호 519.5 H638-2 등록번호 111861516 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

1 Introduction
2 Latent Growth Curves
3 Longitudinal Confirmatory Factor Analysis and Curve-of-Factors Growth Curve Models
4 Estimating Curve-of-Factors Growth Curve Models
5 Extending a Parallel Process Latent Growth Curve Model (PPM) to a Factor-of-Curves Model (FCM)
6 Estimating a Factor-of-Curves Model (FCM) and Adding Covariates
7 An Introduction to Growth Mixture Models (GMM)
8. Estimating a Conditional Growth Mixture Model (GMM)
9 Second-Order Growth Mixture Models (SOGMMs)
10. Growth Curve Analysis with Categorical Outcomes [NEW CHAPTER]
11. Higher-order Growth Curve Analysis with Categorical Outcomes [NEW CHAPTER]

관련분야 신착자료