New Methods for the Analysis of Change

Pages: 442
Item #: 4318991
ISBN: 978-1-55798-754-9
List Price: $49.95
Member/Affiliate Price: $39.95
Copyright: 2001
Format: Hardcover
Availability: In Stock
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Individual chapters of this book are available to purchase online.

We inhabit a world of both invariant characteristics and continuous change. Modeling and predicting these regularities and changes captivated researchers in recent years and resulted in tremendous advances in the field of measurement. New Methods for the Analysis of Change reveals those new trends and emerging themes.

For example, as little as ten years ago, researchers were using traditional procedures emphasizing interindividual variability that often ignored change which manifests itself in the form of intraindividual variability. Nearly all the chapters in this volume strongly emphasize intraindividual variability. In addition, missing data posed a great problem to longitudinal researchers in the past. Now, missing data is recognized as a subdiscipline within statistics.

This volume presents state-of-the-art methods explored by recognized authorities on the analysis of change. Chapters highlight methods for estimating and evaluating models of growth and change over time at the level of the individual; address issues of measurement that are important in the analysis of change; point out methods for separating intraindividual growth from aspects of phenomena that are stable over time; identify larger frameworks in order to integrate knowledge; and provide methods for dealing with missing data. This rich offering of methodological advances will influence a variety of disciplines from psychology and sociology to education and economics.

Table of Contents

Individual chapters of this book are available to purchase online.





Introduction: Organization of This Book

  1. Differential Structural Equation Modeling of Intraindividual Variability
    —Steven M. Boker
    • Comment: Dynamical Models and "Differential Structural Equation Modeling of Intraindividual Variability"
      —Andrea M. Piccinin
  2. Toward a Coherent Framework for Comparing Trajectories of Individual Change
    —Stephen W. Raudenbush
  3. A Structural Equations Modeling Approach to the General Linear Mixed Model
    —Michael J. Rovine and Peter C. M. Molenaar
    • Comment (on Chapters 2 and 3): Advances in the Application of Multilevel Models to the Analysis of Change
      —D. Wayne Osgood
  4. The Best of Both Worlds: Combining Autoregressive and Latent Curve Models
    —Patrick J. Curran and Kenneth A. Bollin
  5. Latent Difference Score Structural Models for Linear Dynamic Analyses With Incomplete Longitudinal Data
    —John J. McArdle and Fumiaki Hamagami
  6. Second-Order Latent Growth Model
    —Aline G. Sayer and Patricio E. Cumsille
  7. The Role of Factorial Invariance in Modeling Growth and Change
    —William Meredith and John Horn
  8. Trait–State Models for Longitudinal Data
    —David A. Kenny and Alex Zautra
    • Comment: The Trait-State Distinction and Its Dialectic Balance
      —Adam Davey
  9. Reliability for Static and Dynamic Categorical Latent Variables: Developing Measurement Instruments Based on a Model of the Growth Process
    —Linda M. Collins
  10. Second-Generation Structural Equation Modeling With a Combination of Categorical and Continuous Latent Variables: New Opportunities for Latent Class–Latent Growth Modeling
    —Bengt Muthén
    • Comment (on Chapters 9 and 10): The Next Steps in Latent Variable Models for Change
      —David Rindskopf
  11. Planned Missing-Data Designs in Analysis of Change
    —John W. Graham, Bonnie J. Taylor, and Patricio E. Cumsille
  12. Multiple Imputation With PAN
    —Joseph L. Schafer
    • Comment (on Chapters 11 and 12): An Analysis of Incomplete Data
      —Adam Davey

Additional Research (Abstracts)

  1. Cluster Analysis of Developmental Profiles: Relations Between Trajectories of Aggression and Popularity Over Adolescence
    —Daniel J. Bauer and David B. Estell
  2. Change in the Field of Study Among Science Majors: A Multilevel Longitudinal Analysis
    —Dale J. Brickley, Joanne M. Cawley, and Maria Pennock-Roman
  3. A Latent Growth Modeling Approach to Mediation Analysis
    —JeeWon Cheong, David MacKinnon, and Siek Toon Khoo
  4. A Comparison of First- and Second-Order Latent Growth Models of Alcohol Expectancies in Adolescence
    —Patricio E. Cumsille and Aline G. Sayer
  5. A Latent Growth Curve Analysis of the Effects of Maternal Well-Being and Cocaine Use on the Home Environment and Infant Behavior From Birth to 24 Months
    —Evangeline R. Danseco and Paul R. Marques
  6. Testing Mediational Effects of Competence on Drug Use Propensity in Childhood With Structural Equation Modeling
    —Zhihong Fan, Mary Ann Pentz, James Dwyer, and Gencie Turner
  7. Modeling Transitions in Two-Stage Sequences Simultaneously
    —Brian E Flaherty and Linda M. Collins
  8. Stability and Change in Grip Strength During Adulthood: An Examination of Genetic and Environmental Influences
    —Julia D. Grant, Stig Berg, and Gerald E. McClearn
  9. Tapestry Over Time: A Way to Visualize the Dynamics of Multivariate Data
    —John C. Hanes, Jr.
  10. Multivariate Survivorship Analysis Using Two Cross-Sectional Samples
    —Mark E. Hill
  11. Gun Availability and Adolescent Substance Use: Using Multiple Imputation to Get Standard Errors
    —Stephanie L. Hyatt, Linda M. Collins, and Joseph L. Schafer
  12. Unraveling Alcohol–Tobacco Comorbidity Over Seven Years: A Latent Class Analysis
    —Kristina M. Jackson, Kenneth J. Sher, and Phillip K. Wood
  13. Longitudinal Analysis of Complex Survey Data: Math and Reading Achievement From the National Longitudinal Survey of Youth, 1986–1994
    —Chi-Ming Kam and David A. Wagstaff
  14. Latent Ordinal Markov Models of Attitude Change
    —Jee-Seon Kim and Ulf Böckenholt
  15. Estimating Cognitive Growth Curves From Environmental Risk Factors: Mediating the Role of Parenting and Child Factors
    —Ambika Krishnakumar and Maureen Black
  16. Modeling Prevention Program Effects on Growth in Substance Use
    —Bonnie Taylor, John W. Graham, and Patricio E. Cumsille
  17. Linking Children's Poverty History to Change in Behavior Problems and Self-Concept: Latent Growth Curve Versus Piecewise Models
    —Peter C. Tice and Steve Carlton-Ford
  18. Understanding Caregiver Stress: Scalar and System Models
    —Virginia Moore Tomlinson and Patrick Doreian
  19. Measuring the Zone of Proximal Development: An Application of Individual Growth Analysis
    —Zheng Yan

Author Index

Subject Index

About the Editors