The Pennsylvania State University The Graduate School College of the Liberal Arts COMPARING METHODS TO MODEL STABILITY AND CHANGE IN PERSONALITY AND ITS PATHOLOGY A Dissertation in Psychology by Aidan Gregory Craver Wright © 2012 Aidan Gregory Craver Wright Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2012 ii The dissertation of Aidan Gregory Craver Wright was reviewed and approved* by the following: Aaron L. Pincus Professor of Psychology Dissertation Advisor Chair of Committee David E. Conroy Professor of Kinesiology and Human Development and Family Studies Kenneth N. Levy Associate Professor of Psychology D. Wayne Osgood Professor of Sociology Melvin M. Mark Professor of Psychology Head of Department of Psychology *Signatures are on file at the Graduate School. iii ABSTRACT As it stands now, the psychopathology of personality disorders (PD) is at a crossroads, and there is little agreement on the best way to conceptualize and define PD. This lack of consensus has led to problems not only in the basic definition of PD, including the accurate description of the structure, course, and risk/protective factors of the disorders, but this disagreement also threatens the advance of future science, and imperils attempts to develop appropriate assessment and effective interventions for this debilitating group of disorders. The current work builds on past cross-sectional work that has shown that PD and personality traits are consistently and significantly related, and longitudinal work that has shown that both PD and personality are plastic and change across time. Three studies using the Longitudinal Study of Personality Disorders were conducted to address questions about the long-term stability of interpersonal aspects of personality, the implications of PD symptom distribution on models relating personality and PD, and the longitudinal relationship between personality and PD. Each of these questions has important bearing on the manner in which we understand the development of personality, PD, and the relationship between the two. The results of these studies demonstrate that 1) interpersonal style is highly stable but mutable, depending in part on how change and stability are operationalized; 2) non-normal distributional assumptions provide a better fit for models of the relationship between PD and normative personality structure; and 3) individual growth in personality is associated with concurrent growth in avoidant PD symptoms. Results of the proposed study have implications for the ongoing efforts to establish the appropriate definition, diagnosis, and treatment of PD. iv TABLE OF CONTENTS PAGE List of Figures…………………………………………………………………………………..vi List of Tables.….….….….….…………………………………………………………………vii Acknowledgements ..…………………………………………………………………………viii Dedication………...……………………………………………………………….……………x Chapter 1: General Introduction…………………………………………………………..……1 Chapter 2: Interpersonal Development, Stability, and Change in Early Adulthood…………...4 Introduction…………………………………………………………………………….4 Standard Approaches to Measuring Development, Stability, and Change……..7 Circumplex Parameters: Multivariate Tests of Development, Stability, and Change………………………………………………………………………....11 Method.………………………………………………………………………………..16 Participants.…….……………………………………………………………...16 Procedure.……………………………………………………………………...17 Measures……………………………………………………………………….17 Analysis and Results…………………………………………………………………...18 Standard Analyses of Stability/Change………………………………………...18 Stability and Change of Circumplex Parameters………………………………23 Discussion……………………………………………………………………………...26 Limitations……………………………………………………………………..30 Future Directions…………………………………………………………….…31 Conclusion………………………………………………………………….…..32 Chapter 3: An Empirical Examination of Distributional Assumptions Underlying the Relationship between Personality Disorder Symptoms and Personality Traits…….…40 Introduction…………………………………………………………………………...40 Continuity and Discontinuity in Personality and its Pathology……………….40 Abnormal Personality, Non-Normal Distributions, and Alternative Models.....43 The Current Study…………………………………………………………..…46 Method……………………………………………………………………….……..…48 Participants………………………………………………………………….....48 Procedure…………………………………………………………………..…..48 Measures…………………………………………………………………….....49 Results………………………………………………………………………………....50 Model Fit……………………………………………………………………....51 PAGE v Substantive Comparison of Models…………………………………………...52 Discussion……………………………………………………………………………..55 Implications for Modeling…………………………………………………….55 Implications for the Relationship between Personality and PD………………56 Limitations…………………………………………………………………….60 Conclusion…………………………………………………………………….60 Chapter 4: A Parallel Process Growth Model of Avoidant Personality Disorder Symptoms and Personality Traits……………………………………………………………………...70 Introduction…………………………………………………………………………...70 The Current Study…………………………………………………………….73 Method………………………………………………………………………………..74 Participants……………………………………………………………………74 Procedure……………………………………………………………………...75 Measures………………………………………………………………………75 Data Analysis………………………………………………………………….76 Results…………………………………………………………………………………78 Discussion……………………………………………………………………………..79 Limitations…………………………………………………………………….82 Chapter 5: General Conclusion………………………………………………………………..87 References……………………………………………………………………………………..92 vi LIST OF FIGURES FIGURE PAGE 2.1 The interpersonal circumplex…………………………………………………………38 2.2 Example of structural summary parameters of a cosine curve……………………….39 3.1 Normal distribution fit to observed narcissistic personality disorder features……….66 3.2 Poisson and negative-binomial distributions fit to observed LSPD narcissistic personality disorder features………………………………………………………….67 3.3 Representation of negative-binomial hurdle model for LSPD narcissistic personality disorder symptoms……………………………………………………….68 3.4 Scatter plots of personality trait scores and NPD features…………………………...69 4.1 Conceptual diagram of the parallel process growth model…………………………..86 vii LIST OF TABLES TABLE PAGE 2.1 Descriptive statistics and rank order stability coefficients for the interpersonal scales…………………………………………………………………….33 2.2 Growth models for the interpersonal scales……………………………………………34 2.3 Descriptive statistics for ipsative and circular variables……………………………….35 2.4 Correlations of circumplex measures with flux……………………………………….36 2.5 Correlations of structural summary statistics and IPC dimensions with spin, pulse, D2, and q-correlations…………………………………………………………...37 3.1 Summary of Akaike and Bayesian information criteria for estimated models………..62 3.2 Summary of coefficients from models regressing personality disorder symptoms on personality traits………………………………………………………...64 4.1 Parameter estimates and indices of fit for the five estimated parallel process growth models…………………………………………………………………………85 viii ACKNOWLEDGEMENTS Agency without communion is no virtue; there are many who share this accomplishment with me and who deserve my thanks. The data for these papers was graciously provided by Mark F. Lenzenweger, who is remarkable for his generosity, kindness, and continues to be a phenomenal collaborator. I am also indebted to the participants of the Longitudinal Study of Personality Disorder, wherever they may find themselves. More broadly, I am grateful for the faculty, staff, and graduate students of the Pennsylvania State University Department of Psychology and Psychological Clinic, it is an idyllic environment in which to study and grow. The contributions of clients and patients deserve mentioning, their lessons are in some ways the most valuable and they permeate my thinking. I am honored and thankful to have David E. Conroy, Kenneth N. Levy, and Wayne Osgood on my dissertation committee, and for their help and advice along the way. This project would not have been possible without funding provided by the National Institute of Mental Health (F31MH087053), the help provided by the PSU Grants Office, and many others who supported that process. All of my friends have taught me much, and I appreciate all the fun we have had over the years. I appreciate the camaraderie and friendship offered by the graduate students from the Personality Laboratory, and the additional mentorship offered by Emily B. Ansell, Nicole M. Cain, and Mark R. Lukowitsky. Special thanks are due to Christopher J. Hopwood, who, as fate would have it, was not a labmate, but continues to be a cherished colleague and friend. I am indebted to my wife, Rachel L. Bachrach, for sharing her kindness, wit, humor, and sharp mind. She propels me to work hard, and I owe her more than anyone for her love and support. I look forward to our life together every day. Through some combination of genes and environment, I have acquired from my parents and grandparents a strong, but late-blooming ix work-ethic, a knack for both pragmatism and flights of fancy, an analytical mind, and a keen interest in the human condition. For these gifts, and their continued love and support, I am grateful. Most of all, I thank Aaron L. Pincus. Luckily for me, he can be coaxed in to taking gambles from time to time, and I think this one has paid off. I cannot express how grateful I am for his mentoring; he shares his compassion, wisdom, time, and effort generously, and expects relatively little in return. He has been an unparalleled teacher, collaborator, advisor, and friend. x DEDICATION To Rachel
Description: