Modeling intraindividual variability with repeated measures data

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Modeling intraindividual variability with repeated measures data

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Modeling intraindividual variability with repeated measures data ated Measures Data:Methods and ApplicationsMULTIVARIATE APPLICATIONS BOOK SERIESThe multivariate Applications book series was developed to encourage t

he use of rigorous methodology in the study of meaningful scientific issues, and to describe the applications in easy to understand language. The seri Modeling intraindividual variability with repeated measures data

es is sponsored by the Society of Multivariate Experimental Psychology and welcomes methodological applications from a variety of disciplines, such as

Modeling intraindividual variability with repeated measures data

psychology, public health, sociology, education, and business. The main goal is to provide descriptions of applications of complex statistical method

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Modeling intraindividual variability with repeated measures data rship (e.g., non-methodological researchers, teachers, students, government personnel, practitioners, and other professionals).Books can be single aut

hored, multiple authored, or edited volumes. The ideal book for this series would take on one of several approaches: (1) demonstrate the application o Modeling intraindividual variability with repeated measures data

f several multivariate methods to a single, major area of research; (2) describe a multivariate procedure or framework that could be applied to a numb

Modeling intraindividual variability with repeated measures data

er of research areas; or (3) present a variety of perspectives on a controversial topic of interest to applied multivariate researchers. There are cur

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Modeling intraindividual variability with repeated measures data Modeling With LỈSREL, PRELIS, and SIMPLIS: Basic Concepts. Applications, and Programming, by B. Byrne (1998).•Multivariate Applications in Substance U

se Research, co-editcd by J. Rose, L. Chassin, c. Presson, and s. Sherman (2000).•Item Response Theory for Psychologists, co-authored by s. Embretson Modeling intraindividual variability with repeated measures data

and s. Reise (2000).•Structural Equation Modeling with AMOS, by B. Byrne (2001).•Conducting Meta-Analysis Using SAS, co-authorcd by w. Arthur, Jr., w.

Modeling intraindividual variability with repeated measures data

Bennett, Jr., and A. I. Juffcutt (2001).•Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications, co-cdited by D.

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Modeling intraindividual variability with repeated measures data ing planned completion date; (4) Brief overview of focus for the book including a table of contents and a sample chapter (or more); (5) mention any co

mpeting publications in this area; (6) mention possible audiences for the proposed book. More information can be obtained from the editor, Lisa Harlow Modeling intraindividual variability with repeated measures data

, at: Department of Psychology, University of Rhode Island, 10 Chafee Rod., Suite 8, Kingston, RI 02881-0808; Phone: 401-874-4242; Fax: 401-874-5562;

Modeling intraindividual variability with repeated measures data

ore-mail: Lharlow@uri.edu. Information can also be obtained from one of the advisory board members: Leona Aiken (Arizona Slate University), Gwyneth Bo

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Modeling intraindividual variability with repeated measures data icationsEdited byD. s. MoskowitzMcGill UniversityScott L. HershbergerCalifornia State University, Long BeachIFAThe final camera copy for this work was

prepared by the editors and therefore the publisher takes no responsibility for consistency or correctness of typographical style. However, this arra Modeling intraindividual variability with repeated measures data

Modeling intraindividual variability with repeated measures data

rt of tile book may be reproduced in any form, by photostat, microform, retrieval system, or any other means, without the prior written permission of

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Modeling intraindividual variability with repeated measures data -8058-3125-8Books published by Lawrence Erlbaum Associates arc printed on acid-free paper, and their bindings are chosen for strength and durability.

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