Applied Data Analytic Techniques for Turning Points ResearchPatricia 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:
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 changes associated 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. |
Contents
Chapter 2 The interrelationship of temporally distinct
risk markers and the transition from childhood physical aggression to adolescent violent delinq... | 17 |
Chapter 3
Estimating timevarying causes and outcomes with application to incarceration and crime | 37 |
Chapter 4 Turning points in family contact during
emerging adulthood | 61 |
Competing models of substance abuse and desistance in young adulthood | 81 |
Chapter 6 Modeling agebased turning points in
longitudinal lifespan growth curves of cognition | 105 |
Modeling betweenperson variability in adjustment to conjugal loss | 129 |
Chapter 8 Application of change point theory to
modeling staterelated activity in fMRI | 149 |
Chapter 9 Using an econometric model of change points
to locate turning points in individual time series | 183 |
Appendix 1 Computer programs for changepoint
analysis | 215 |
Appendix 2 Equivalent forms of the Level 1 equation for
the bereavement model in Chapter 7 | 219 |
Appendix 3A The variance of the EWMA statistic assuming ARMA 11 noise | 221 |
Appendix 3B Maximum likelihood estimation of change point | 227 |
Appendix 3C EM algorithm for Gaussian mixture model | 231 |
Appendix 3D Estimating variance components using
restricted maximum likelihood | 233 |
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