ORPP logo
Image from Google Jackets

Advances in Longitudinal Methods in the Social and Behavioral Sciences.

By: Contributor(s): Material type: TextTextSeries: CILVR Series on Latent Variable Methodology SeriesPublisher: Charlotte, NC : Information Age Publishing, Incorporated, 2012Copyright date: ©2012Edition: 1st edDescription: 1 online resource (354 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781617358913
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in Longitudinal Methods in the Social and Behavioral SciencesDDC classification:
  • 300.72/1
LOC classification:
  • H61 .A3937 2012
Online resources:
Contents:
Cover -- Series -- Advances in Longitudinal Methods in the Social and Behavioral Sciences -- Library of Congress Cataloging-in-Publication Data -- Contents -- Foreword -- Preface -- Acknowledgments -- Part I: Modeling Longitudinal Data: Examining Facets of Change or Variability -- CHAPTER 1: A Template for Describing Individual Differences in Longitudinal Data, with Application to the Connection Between Learning and Ability -- CHAPTER 2: On Interpretable Reparameterizations of Linear and Nonlinear Latent Growth Curve Models -- CHAPTER 3: Mood Changes Associated with Smoking in Adolescents -- CHAPTER 4: Tethering Theory to Method -- CHAPTER 5: Dynamic Systems Analysis of Affective Processes in Dyadic Interactions Using Differential Equations -- Part II: Drawing Valid Inferences: Longitudinal Design Considerations and Model Assumptions -- CHAPTER 6: Sensitivity Analysis of Mixed-Effects Models When Longitudinal Data Are Incomplete -- CHAPTER 7: Finite Mixtures of Nonlinear Mixed-Effects Models -- CHAPTER 8: Growth Mixture Modeling and Causal Inference -- Part III: The Role of Measurement in Modeling Within-Subject and Between-Subject Effects -- CHAPTER 9: Disaggregating Within-Person and Between-Person Effects in Multilevel and Structural Equation Growth Models -- CHAPTER 10: Considering Alternative Metrics of Time -- CHAPTER 11: Valid Measurement Without Factorial Invariance -- CHAPTER 12: The Discrimination-Censoring Paradox in Item Response Growth Models -- About the Contributors.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Cover -- Series -- Advances in Longitudinal Methods in the Social and Behavioral Sciences -- Library of Congress Cataloging-in-Publication Data -- Contents -- Foreword -- Preface -- Acknowledgments -- Part I: Modeling Longitudinal Data: Examining Facets of Change or Variability -- CHAPTER 1: A Template for Describing Individual Differences in Longitudinal Data, with Application to the Connection Between Learning and Ability -- CHAPTER 2: On Interpretable Reparameterizations of Linear and Nonlinear Latent Growth Curve Models -- CHAPTER 3: Mood Changes Associated with Smoking in Adolescents -- CHAPTER 4: Tethering Theory to Method -- CHAPTER 5: Dynamic Systems Analysis of Affective Processes in Dyadic Interactions Using Differential Equations -- Part II: Drawing Valid Inferences: Longitudinal Design Considerations and Model Assumptions -- CHAPTER 6: Sensitivity Analysis of Mixed-Effects Models When Longitudinal Data Are Incomplete -- CHAPTER 7: Finite Mixtures of Nonlinear Mixed-Effects Models -- CHAPTER 8: Growth Mixture Modeling and Causal Inference -- Part III: The Role of Measurement in Modeling Within-Subject and Between-Subject Effects -- CHAPTER 9: Disaggregating Within-Person and Between-Person Effects in Multilevel and Structural Equation Growth Models -- CHAPTER 10: Considering Alternative Metrics of Time -- CHAPTER 11: Valid Measurement Without Factorial Invariance -- CHAPTER 12: The Discrimination-Censoring Paradox in Item Response Growth Models -- About the Contributors.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

There are no comments on this title.

to post a comment.

© 2024 Resource Centre. All rights reserved.