CALLOUS-UNEMOTIONAL TRAITS AND PEER RELATIONSHIP CHARACTERISTICS AMONG AGGRESSIVE CHILDREN OVER THE TRANSITION TO MIDDLE SCHOOL by CHRISTOPHER THOMAS O’BRIEN KRISTINA L. MCDONALD, COMMITTEE CHAIR JOHN E. LOCHMAN JEFFREY G. PARKER RANDALL T. SALEKIN STEPHEN J. THOMA A DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Psychology in the Graduate School of The University of Alabama TUSCALOOSA, ALABAMA 2014 Copyright Christopher Thomas O’Brien 2014 ALL RIGHTS RESERVED ABSTRACT The purpose of the present study was to investigate, among an aggressive sample of youth, how CU traits are related to children’s regard from peers and peer reputations of victimization and leadership. Children between the ages of 9 and 12 (N = 231) completed a sociometric survey as well as self-reporting on delinquency. Teacher reports of CU traits were also collected. As hypothesized, higher levels of CU traits predicted membership in the low trajectory group relative to the high trajectory group for peer nominations of being liked the most. Additionally, results indicated that higher levels of CU traits predicted membership in the high trajectory group relative to the low trajectory group for peer nominations of being liked the least above and beyond aggressive behavior. No support was found for the hypothesis that CU traits predict membership in the high trajectory group for peer nominations of victimization nor for the hypothesis that it predicts membership in the high trajectory group for peer nominations of leadership. Results are discussed in terms of their contribution to characterizing youth with CU traits as well as how these youth interact with their peers. Keywords: callous-unemotional traits, aggression, peer relations, trajectories ii DEDICATION This dissertation is dedicated to everyone who participated in the project and to those who helped me, offered advice and support while creating this document. iii LIST OF ABBREVIATIONS AND SYMBOLS α Cronbach’s index of internal consistency AIC Akaike Information Criterion BIC Bayesian Information Criterion CD Conduct Disorder CP Conduct Problems CU Callous-Unemotional LCGA Latent Class Growth Analysis LMR Lo-Mendell-Rubin likelihood ratio test M Mean: the sum of a set of measurements divided by the number of measurements in the set N Sample size of group ODD Oppositional Defiant Disorder p Probability associated with the occurrence under the null hypothesis of a value as extreme as or more extreme than the observed value r Pearson product-moment correlation SABIC Sample Size Adjusted Bayesian Information Criterion SD Standard Deviation: value of variation from the mean iv t Computed value of t test ! 2 Chi-square distribution Δ!! 2 Chi-square change z Z-score < Less than > Greater than = Equal to v ACKNOWLEDGMENTS I would like to thank the many people who assisted and supported me throughout the entire process of this project. In particular, I am grateful to my committee chair, Kristina McDonald, who has never waivered in her assistance and support. Kristina is a fantastic and caring advisor. This dissertation would not have been possible without her amazing support and guidance. I am fortunate to have had a very cooperative and understanding committee, Jeffrey Parker, Randall Salekin, and Stephen Thoma; their suggestions and feedback were invaluable. I am beyond grateful for John Lochman for granting permission to access the current data. Being afforded the opportunity to work with this data has been a privilege and an honor. I would also like to thank my supportive family. Everything that I have accomplished I owe to them. They have always motivated me to push myself. I must also thank my closest supporter and friend, Caitie, who means more to me than I could ever express in words. Finally, I would like to thank my friends and classmates, for all their feedback and support. vi CONTENTS ABSTRACT ................................................................................................ ii DEDICATION ........................................................................................... iii LIST OF ABBREVIATIONS AND SYMBOLS ...................................... iv ACKNOWLEDGMENTS ......................................................................... vi LIST OF TABLES ..................................................................................... ix LIST OF FIGURES .................................................................................... x 1. INTRODUCTION ................................................................................ 1 a. Characteristics of Youth with Callous-Unemotional Traits…...3 b. Transition from Elementary to Middle School………………...6 c. CU and Peer Relationships…………………………………….8 d. Accounting for Aggression and Delinquent Behavior………...15 e. Purpose of the Present Study…………………………………..20 2. METHODOLOGY…………………………………………………….22 a. Participants……………………………………………….........22 b. Constructs……………………………………………………...23 c. Procedures……………………………………………………..25 3. RESULTS ……………………………………………………………..26 a. Correlations Between Variables at Time 1………………….....27 b. Trajectories of Peer Nominations……………………………...29 c. Links Between Covariates and Peer Nomination Trajectory Group Membership……………………………………………38 vii d. Predicting Peer Nomination Trajectory Group Membership From CU Traits………………………………………………..44 e. Predicting Peer Nomination Trajectory Group Membership Controlling for Aggression……………………………………47 f. Predicting Peer Nomination Trajectory Group Membership Controlling for Delinquency…………………………………..51 4. DISCUSSION…………………………………………………………..74 REFERENCES…………………………………………………………….86 viii LIST OF TABLES 1. Descriptive Statistics Among Study Measure at Time 1………………..27 2. Summary of Correlations Among CU Traits, Peer Nominations, and Aggression as a Function of Gender…………………………………….28 3. Summary of Correlations Among CU Traits and Peer Nominations as a Function of Aggression and Delinquency…………………………….....29 4. Model Fit for Peer Nomination Trajectories…………………...………..38 5. Group Composition of Peer Nomination Trajectory Classes……………40 6. Multinomial Logistic Regression Analysis Details ……………………..54 ix
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