Rick H. Hoyle

The Handbook of Personality and Self-Regulation integrates scholarly research on self-regulation in the personality, developmental, and social psychology traditions for a broad audience of social and behavioral scientists interested in the processes by which people control, or fail to control, their own behavior. Examines self-regulation as it influences and is influenced by basic personality processes in normal adults Offers 21 original contributions from an internationally respected group of scholars in the fields of personality and self-regulation Explores the causes and consequences of inadequate self-regulation and the means by which self-regulation might be improved Integrates empirical findings on basic personality traits with findings inspired by emerging models of self-regulation Provides a comprehensive, up-to-date, and stimulating view of the field for students and researchers in a wide range of disciplines

Handbook of Personality and Self-Regulation

This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.

Statistical Strategies for Small Sample Research

"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--

Handbook of Structural Equation Modeling

Kevin Lanning

Psychologists, political scientists, and experts in election lawpresent a multidisciplinary perspective on voting. Personality characteristics such as motivation, values, andefficacy are considered, as are demographic variables such aseducation, age, and social class Examines the reciprocal relationship that exists in thefunctions of voting for individual and society: the interplaybetween persons and institutions gives rise to the perception thata government is or is not legitimate, and to the sense that anindividual does, or does not, belong

Democracy and Disenfranchisement

Mark R. Leary

How do individual differences interact with situational factors to shape social behavior? Are people with certain traits more likely to form lasting marriages; experience test-taking anxiety; break the law; feel optimistic about the future? This handbook provides a comprehensive, authoritative examination of the full range of personality variables associated with interpersonal judgment, behavior, and emotion. The contributors are acknowledged experts who have conducted influential research on the constructs they address. Chapters discuss how each personality attribute is conceptualized and assessed, review the strengths and limitations of available measures (including child and adolescent measures, when available), present important findings related to social behavior, and identify directions for future study.

Handbook of Individual Differences in Social Behavior

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

Rick H. Hoyle

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