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Compared with other developed nations, the United States is unique in its high rates of both gun ownership and murder. Although widespread gun ownership does not have much effect on the overall crime rate, gun use does make criminal violence more lethal and has a unique capacity to terrorize the public. Gun crime accounts for most of the costs of gun violence in the United States, which are on the order of $100 billion per year. But that is not the whole story. Guns also provide recreational benefits and sometimes are used virtuously in fending off or forestalling criminal attacks. Given that guns may be used for both good and ill, the goal of gun policy in the United States has been to reduce the flow of guns to the highest-risk groups while preserving access for most people. There is no lack of opinions on policies to regulate gun commerce, possession, and use, and most policy proposals spark intense controversy. Whether the current system achieves the proper balance between preserving access and preventing misuse remains the subject of considerable debate. Evaluating Gun Policy provides guidance for a pragmatic approach to gun policy using good empirical research to help resolve conflicting assertions about the effects of guns, gun control, and law enforcement. The chapters in this volume do not conform neatly to the claims of any one political position. The book is divided into five parts. In the first section, contributors analyze the connections between rates of gun ownership and two outcomes of particular interest to society—suicide and burglary. Regulating ownership is the focus of the second section, where contributors investigate the consequences a large-scale combined gun ban and buy-back program in Australia, as well as the impact of state laws that prohibit gun ownership to those with histories of domestic violence. The third section focuses on efforts to restrict gun carrying and includes a critical examination of efforts in Pit
`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
TRB Special Report 254 - Managing Speed: Review of Current Practices for Setting and Enforcing Speed Limits reviews practices for setting and enforcing speed limits on all types of roads and provides guidance to state and local governments on appropriate methods of setting speed limits and related enforcement strategies. Following an executive summary, the report is presented in six chapters and five appendices.