Experimental Social Programs and Analytic Methods: An Evaluation of the U.S. Income Maintenance Projects examines the statistical and econometric research on work disincentive effects reported by a series of social experiments that explore the economic and social consequences of a guaranteed income program. This book provides a comparative description of the several experimental designs and labor supply results, including a general discussion of methodological issues common to the social experiments. The Conlisk-Watts model for sample assignment and labor supply findings from both an econometric and statistical perspective are also elaborated. This text likewise presents an updated survey of the work response findings from the American negative income tax experiments. This publication is intended for professionals and students in econometrics, labor economics, statistics, and quantitative research, but is also valuable to policy analysts and others concerned with social welfare reform and public administration.

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

A thorough, practical reference on the social patterns behind health outcomes Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health. Covering the theory, models, and methods used to measure and analyze these phenomena, this book serves as both an introduction to the field and a practical manual for data collection and analysis. This new second edition has been updated to reflect the field's tremendous growth in recent years, including advancements in statistical modeling and study designs. New chapters delve into genetic methods, structural cofounding, selection bias, network methods, and more, including new discussion on qualitative data collection with disadvantaged populations. Social epidemiology studies the way society's innumerable social interactions, both past and present, yields different exposures and health outcomes between individuals within populations. This book provides a thorough, detailed overview of the field, with expert guidance toward the real-world methods that fuel the latest advances. Identify, measure, and track health patterns in the population Discover how poverty, race, and socioeconomic factors become risk factors for disease Learn qualitative data collection techniques and methods of statistical analysis Examine up-to-date models, theory, and frameworks in the social epidemiology sphere As the field continues to evolve, researchers continue to identify new disease-specific risk factors and learn more about how the social system promotes and maintains well-known exposure disparities. New technology in data science and genomics allows for more rigorous investigation and analysis, while the general thinking in the field has become more targeted and attentive to causal inference and core assumptions behind effect identification. It's an exciting time to be a part of the field, and Methods in Social Epidemiology provides a solid reference for any student, researcher, or faculty in public health.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models. It focuses on such areasas: * The classical principal components model and sample-populationinference * Several extensions and modifications of principal components,including Q and three-mode analysis and principal components in thecomplex domain * Maximum likelihood and weighted factor models, factoridentification, factor rotation, and the estimation of factorscores * The use of factor models in conjunction with various types ofdata including time series, spatial data, rank orders, and nominalvariable * Applications of factor models to the estimation of functionalforms and to least squares of regression estimators

An Economic Analysis of Crime and Justice: Theory, Methods, and Applications presents the applications of economic theory and econometric methods to various problems in criminology. The book is divided into three parts. Part I discusses models of criminal recidivism. The second part tackles the economic model of crime. Part III estimates cost functions for prisons. Specific chapters in the book cover topics on statistical analysis of qualitative outcomes; analysis of two measures of criminal activity: the arrest rate and the conviction rate; and long-run estimate of cost function for a group of Federal Correctional Institutions. Economists, correctional administrators, and criminal justice professionals will find the book a great source of information and insight.

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.

Seven experts, representing a variety of disciplinary perspectives, discuss specific reform efforts in a number of social welfare policy areas and identify the jurisdictional fremework of policy-making in Canada's federal system as a factor of significantly affects these efforts.

As governments struggle to adapt half-century-old income and social support programs to new needs and realities, some are calling for the introduction of a basic income guarantee for working-age Canadians. But is a basic income really the best policy response to poverty, precarious work, and unemployment? Is it the best way to build a just and inclusive society? Basic Income and a Just Society provides a comprehensive evaluation of basic income and its application as a primary social policy tool. Drawing on extensive research and analysis produced for the British Columbia Expert Panel on Basic Income, combined with pan-Canadian data and current evidence, leading scholars examine the various claims made for and against a basic income. They assess its potential to reduce poverty and improve social outcomes, as well as the costs associated with implementing such a program in Canada and how it would interact with existing social programs. In examining the key arguments advanced by proponents of a basic income, contributors take a hard look at Canada’s social safety net and its strengths and weaknesses, proposing a different path forward – one that entails a full paradigm shift in social policy and rests on providing the bases of self- and social respect to all Canadians.