Modeling intraindividual variability with repeated measures data :methods and applications
- 其他作者: Moskowitz, Debbie S. , Hershberger, Scott L. , American Psychological Association.
- 出版: Mahwah, N.J. : L. Erlbaum Associates ©2002.
- 稽核項: 1 online resource (xvi, 276 pages) :illustrations, charts.
- 叢書名: Multivariate applications book series
- 標題: Psychométrie , PSYCHOLOGY , Psychometrics. , Conference papers and proceedings. , Psychometrics Congresses. , PSYCHOLOGY Personality. , Psychometrics , Electronic books. , Personality. , Psychométrie Congrès.
- ISBN: 1135673217 , 9781135673215
- 試查全文@TNUA:
- 附註: Based on 2 symposia presented at the 1997 meeting of the American Psychological Association. Includes bibliographical references and indexes. Cover; Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications; Copyright; List of Contributors; Contents; Preface; Chapter 1 Traditional Methods for Estimating Multilevel Models; Chapter 2 Alternative Covariance Structures for Polynomial Models of Individual Growth and Change; Chapter 3 Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis; Chapter 4 Multilevel Modeling of Longitudinal and Functional Data; Chapter 5 Analysis of Repeated Measures Designs with Linear Mixed Models Chapter 6 Fitting Individual Growth Models Using SAS PROC MIXEDChapter 7 Multilevel Modeling of Longitudinal and Functional Data; Chapter 8 Times Series Regressions; Chapter 9 Dynamic Factor Analysis Models for Representing Process in Multivariate Time-Series; Author Index; Subject Index
- 摘要: <P>This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable.</P><P>It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a ""user-friendly"" style such that even the ""novice"" data analyst can easily apply the techniques.</P><P>Each chapter features:</P><UL><LI>a minimum discussion of mathemati.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=63967
- 系統號: 005298450
- 資料類型: 電子書
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- 引用網址: 複製連結
This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.
來源: Google Book
來源: Google Book
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