This handbook is the first volume to provide a comprehensive look at personality development. It features a state-of-the-art examination of the field, an area that is enjoying a resurgence in popularity. Five major types of advances, all of which are represented in this volume, are the result of the recent burst in research activity in this area: 1) new theoretical perspectives, 2) higher-quality empirical studies, 3) more sophisticated research designs and analyses, 4) attention to development across the lifespan, and 5) the growing prominence of interdisciplinary approaches to personality development. The Handbook of Personality Development is comprehensive across the lifespan, in its range of personality constructs, and in its coverage of theoretical and methodological frameworks. It is the first volume to address the most important personality development theoretical frameworks in one location--the evolutionary, physiological, behavioral genetic, and socio-cultural perspectives. The book also reviews new statistical techniques that allow for the estimation of individual differences in stability and the analysis of change. The latter part of the book focuses on personality development over the lifespan, from infancy to older adulthood. The authors address personality variables such as emotion regulation, temperament, and self-concept across the lifespan. The book concludes with a compelling capstone chapter by Dan McAdams on how personality develops. The Handbook of Personality Development provides an historical account of, and summary of, the most significant and important findings in the area, along with suggestions for future research. Intended for researchers and advanced students in personality, developmental, social, clinical, and educational psychology, as well as related fields such as family studies, sociology, education, nursing, behavioral genetics, neuropsychology, and psychophysiology, the handbook also serves as a valuable resource in advanced courses that address personality development.

This handbook is the first volume to provide a comprehensive look at personality development. It features a state-of-the-art examination of the field, an area that is enjoying a resurgence in popularity. Five major types of advances, all of which are represented in this volume, are the result of the recent burst in research activity in this area: 1) new theoretical perspectives, 2) higher-quality empirical studies, 3) more sophisticated research designs and analyses, 4) attention to development across the lifespan, and 5) the growing prominence of interdisciplinary approaches to personality development. The Handbook of Personality Development is comprehensive across the lifespan, in its range of personality constructs, and in its coverage of theoretical and methodological frameworks. It is the first volume to address the most important personality development theoretical frameworks in one location--the evolutionary, physiological, behavioral genetic, and socio-cultural perspectives. The book also reviews new statistical techniques that allow for the estimation of individual differences in stability and the analysis of change. The latter part of the book focuses on personality development over the lifespan, from infancy to older adulthood. The authors address personality variables such as emotion regulation, temperament, and self-concept across the lifespan. The book concludes with a compelling capstone chapter by Dan McAdams on how personality develops. The Handbook of Personality Development provides an historical account of, and summary of, the most significant and important findings in the area, along with suggestions for future research. Intended for researchers and advanced students in personality, developmental, social, clinical, and educational psychology, as well as related fields such as family studies, sociology, education, nursing, behavioral genetics, neuropsychology, and psychophysiology, the handbook also serves as a valuable resource in advanced courses that address personality development.

This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding command files are available via the Web. The working examples are available in the four major SEM packages--LISREL, EQS, MX, and AMOS--and two Multi-level packages--HLM and MLn. All equations and figural conventions are standardized across each contribution. The material is accessible to practicing researchers and students. Users can compare and contrast various analytic approaches to longitudinal and multiple-group data including SEM, Multi-level, LTA, and standard GLM techniques. Ideal for graduate students and practicing researchers in social and behavioral sciences.

"Modeling Contextual Effects in Longitudinal Studies "reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science researchers. This accessible guide provides concrete, clear examples of how contextual factors can be included in most research studies. Each chapter can be understood independently, allowing readers to first focus on areas most relevant to their work. The opening chapter demonstrates the various ways contextual factors are represented-- as covariates, predictors, outcomes, moderators, mediators, or mediated effects. Succeeding chapters review "best practice" techniques for treating missing data, making model comparisons, and scaling across developmental age ranges. Other chapters focus on specific statistical techniques such as multilevel modeling and multiple-group and multilevel SEM, and how to incorporate tests of mediation, moderation, and moderated mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. The final chapter provides a compelling call to include contextual factors in theorizing and research."
"This book will appeal to researchers and advanced students conducting developmental, social, clinical, or educational research, as well as those in related areas such as psychology and linguistics.

"Modeling Contextual Effects in Longitudinal Studies "reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science researchers. This accessible guide provides concrete, clear examples of how contextual factors can be included in most research studies. Each chapter can be understood independently, allowing readers to first focus on areas most relevant to their work. The opening chapter demonstrates the various ways contextual factors are represented-- as covariates, predictors, outcomes, moderators, mediators, or mediated effects. Succeeding chapters review "best practice" techniques for treating missing data, making model comparisons, and scaling across developmental age ranges. Other chapters focus on specific statistical techniques such as multilevel modeling and multiple-group and multilevel SEM, and how to incorporate tests of mediation, moderation, and moderated mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. The final chapter provides a compelling call to include contextual factors in theorizing and research."
"This book will appeal to researchers and advanced students conducting developmental, social, clinical, or educational research, as well as those in related areas such as psychology and linguistics.

This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding command files are available via the Web. The working examples are available in the four major SEM packages--LISREL, EQS, MX, and AMOS--and two Multi-level packages--HLM and MLn. All equations and figural conventions are standardized across each contribution. The material is accessible to practicing researchers and students. Users can compare and contrast various analytic approaches to longitudinal and multiple-group data including SEM, Multi-level, LTA, and standard GLM techniques. Ideal for graduate students and practicing researchers in social and behavioral sciences.

"Aggression and Adaptation" raises thought provoking questions about interpersonal functioning within social groups. The reader may find him/herself entertaining thoughts about the nature of goodness as the chapters suggest that aggressive behavior can offer significant avenues for personal growth, goal attainment, and bolstering one's social standing. The volume brings to light alternative points of view to the prevailing orthodoxy that aggression equals pathology. Interdisciplinary in nature, the book features evolutionary, school, feminist, historical, and methodological perspectives.
Adaptation is addressed at multiple levels, the first of which is ultimate causation. Four chapters cover the aggression-adaptation link from various evolutionary perspectives. Succeeding chapters focus on: adaptation as psychological adjustment; aggression in the peer system and the contexts in which these systems occur; and the self-other dialectic in societal context, highlighting that aggressive children are often well-embedded in the social network.
Intended for researchers in developmental, evolutionary, social, personality, and educational psychology, as well as developmental psychopathologists, this book is also suitable for advanced courses on social-personality development, the psychology of violence, aggression, peer relationships, and human motivation.

This volume examines the developmental aspects of the general psychological construct of self-determination. The term refers to self- (vs. other-) caused action-to people acting volitionally-as based on their own will. Research conducted in the fields of psychology and education shows the importance of self-determination to adolescent development and positive adult outcomes. The first part of this volume presents an overview of theories and historical antecedents of the construct. It looks at the role of self-determination in major theories of human agentic behavior and of adolescent development and individuation. The second part of the volume examines the developmental origins and the trajectory of self-determination in childhood, adolescence, and adulthood, and looks as aging aspects. The next part presents studies on the evolutionary aspects, individual differences and healthy psychological development. The last part of the book covers the development of causal and agentic capability.

This volume examines the developmental aspects of the general psychological construct of self-determination. The term refers to self- (vs. other-) caused action-to people acting volitionally-as based on their own will. Research conducted in the fields of psychology and education shows the importance of self-determination to adolescent development and positive adult outcomes. The first part of this volume presents an overview of theories and historical antecedents of the construct. It looks at the role of self-determination in major theories of human agentic behavior and of adolescent development and individuation. The second part of the volume examines the developmental origins and the trajectory of self-determination in childhood, adolescence, and adulthood, and looks as aging aspects. The next part presents studies on the evolutionary aspects, individual differences and healthy psychological development. The last part of the book covers the development of causal and agentic capability.

Beloved for its engaging, conversational style, this valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects.

Parceling is pre-modeling strategy to create fewer and more reliable indicators of constructs for use with latent variable models. Parceling is particularly useful for developmental scientists because longitudinal models can become quite complex and even intractable when measurement models of items are fit. In this Element the authors provide a detailed account of the advantages of using parcels, their potential pitfalls, as well as the techniques for creating them for conducting latent variable structural equation modeling (SEM) in the context of the developmental sciences. They finish with a review of the recent use of parcels in developmental journals. Although they focus on developmental applications of parceling, parceling is also highly applicable to any discipline that uses latent variable SEM.

This is the first methods handbook specifically designed to meet the needs of today's developmental scholars. Leading developmental methodologists describe cutting-edge approaches to measurement and design, data collection, and interindividual and intraindividual longitudinal analysis. For each method or analytic tool--whether created to measure change or adapted for this purpose--chapters describe key issues, assumptions, and applications. Chapters also include research examples that demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website provides data and program syntax files for most of the examples.

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods in Psychology is the complete tool box to deliver the most valid and generalizable answers to today's complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.