Book contents
- The Cambridge Handbook of Research Methods in Clinical Psychology
- The Cambridge Handbook of Research Methods in Clinical Psychology
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Acknowledgments
- Part I Clinical Psychological Science
- Part II Observational Approaches
- Part III Experimental and Biological Approaches
- Part IV Developmental Psychopathology and Longitudinal Methods
- 15 Studying Psychopathology in Early Life
- 16 Adolescence and Puberty
- 17 Quantitative Genetic Research Strategies for Studying Gene-Environment Interplay in the Development of Child and Adolescent Psychopathology
- 18 Designing and Managing Longitudinal Studies
- 19 Measurement and Comorbidity Models for Longitudinal Data
- Part V Intervention Approaches
- Part VI Intensive Longitudinal Designs
- Part VII General Analytic Considerations
- Index
- References
19 - Measurement and Comorbidity Models for Longitudinal Data
from Part IV - Developmental Psychopathology and Longitudinal Methods
Published online by Cambridge University Press: 23 March 2020
Book contents
- The Cambridge Handbook of Research Methods in Clinical Psychology
- The Cambridge Handbook of Research Methods in Clinical Psychology
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Acknowledgments
- Part I Clinical Psychological Science
- Part II Observational Approaches
- Part III Experimental and Biological Approaches
- Part IV Developmental Psychopathology and Longitudinal Methods
- 15 Studying Psychopathology in Early Life
- 16 Adolescence and Puberty
- 17 Quantitative Genetic Research Strategies for Studying Gene-Environment Interplay in the Development of Child and Adolescent Psychopathology
- 18 Designing and Managing Longitudinal Studies
- 19 Measurement and Comorbidity Models for Longitudinal Data
- Part V Intervention Approaches
- Part VI Intensive Longitudinal Designs
- Part VII General Analytic Considerations
- Index
- References
Summary
Longitudinal comorbidity models posit some association between constructs over time. Although this association is often operationalized as cross-lagged autoregressive processes, associations between constructs are often expressed as stable interindividual associations between the constructs across measurement occasions. Although such general associations are often modeled as parallel state-trait models or as parallel (often polynomial) growth curves, such an approach risks overlooking the possibility of identification of developmentally limited traits and the implicit measurement model associated with the construct. Such models often present difficulties in terms of poor fit or improper solutions which are remedied ad hoc. In order to identify better fitting alternative, a “right-sizing” approach to development of comorbidity models is proposed wherein the dimensionality, patterning, and mean level of an observed series is first considered in order to identify the model that best represents prospective change over time. Cormorbidity of problem behaviors or psychopathology can then be expressed via covariation between the latent variables and growth models identified. The approach is illustrated with a prospective study of the cormorbidity of psychological distress and alcohol use in college students. Assumption checking procedures for the resulting model are also illustrated.
Keywords
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- Information
- Publisher: Cambridge University PressPrint publication year: 2020
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