Applied Data Analytic Techniques for Turning Points Research

Applied Data Analytic Techniques for Turning Points Research

by Patricia Cohen
     
 

This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illustrated with real longitudinal data from a variety of fields. As such, the book will appeal to a variety of researchers including: Developmental researchers interested

See more details below

Overview

This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illustrated with real longitudinal data from a variety of fields. As such, the book will appeal to a variety of researchers including: Developmental researchers interested in identifying factors precipitating turning points at various life stages. Medical or substance abuse researchers looking for turning points in disease or recovery. Social researchers interested in estimating the effects of life experiences on subsequent behavioral changes. Interpersonal behavior researchers looking to identify turning points in relationships. Brain researchers needing to discriminate the onset of an experimentally produced process in a participant.

The book opens with the goals and theoretical considerations in defining turning points. An overview of the methods presented in subsequent chapters is then provided. Chapter goals include discriminating "local" from long-term effects, identifying variables altering the connection between trajectories at different life stages, locating non-normative turning points, coping with practical distributional problems in trajectory analyses, and changes in the meaning and connections between variables in the transition to adulthood. From an applied perspective, the book explores such topics as antisocial/aggressive trajectories at different life stages, the impact of imprisonment on criminal behavior, family contact trajectories in the transition to adulthood, sustained effects of substance abuse, alternative models of bereavement, and identifying brain changesassociated with the onset of a new brain process.

Ideal for advanced students and researchers interested in identifying significant change in data in a variety of fields including psychology, medicine, education, political science, criminology, and sociology.

About the Author:
Dr. Patricia Cohen is Professor of Clinical Epidemiology in Psychiatry at Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute

Read More

Product Details

ISBN-13:
9780805854527
Publisher:
Taylor & Francis
Publication date:
03/24/2008
Series:
Multivariate Applications Series
Edition description:
New Edition
Pages:
256
Product dimensions:
5.90(w) x 8.90(h) x 0.50(d)

Table of Contents

Preface     vii
The origins of this book   Patricia Cohen     1
The interrelationship of temporally distinct risk markers and the transition from childhood physical aggression to adolescent violent delinquency   Daniel S. Nagin   Ted Barker   Eric Lacourse   Richard E. Tremblay     17
Estimating time-varying causes and outcomes, with application to incarceration and crime   Christopher Wimer   Robert J. Sampson   John H. Laub     37
Turning points in family contact during emerging adulthood   David Rindskopf   Joel R. Sneed     61
Testing turning points using latest growth curve models: Competing models of substance abuse and desistance in young adulthood   Andrea M. Hussong   Patrick J. Curran   Terrie E. Moffitt   Avshalom Caspi     81
Modeling age-based turning points in longitudinal life-span growth curves of cognition   John J. McArdle   Lijuan Wang     105
Bereavement as a potential turning point: Modeling between-person variability in adjustment to conjugal loss   Christopher T. Burke   Patrick E. Shrout   Niall Bolger     129
Application of change point theory to modeling state-related activity in fMRI   Martin A. Lindquist   Tor D. Wager     149
Using an econometric model of change points to locate turning points in individual time series   Henian Chen   Patricia Cohen   Kathy Gordon     183
Developmental structural change in the maturity of role assumption   Patricia Cohen   Kathy Gordon   Stephanie Kasen   Henian Chen     195
Computer programs for change-point analysis     215
Equivalent forms of the Level 1 equation for the bereavement model in Chapter 7     219
The variance of the EWMA statistic assuming ARMA (1,1) noise     221
Maximum likelihood estimation of change point     227
EM algorithm for Gaussian mixture model     231
Estimating variance components using restricted maximum likelihood     233
Author Index     235
Subject Index     241

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >