This book is concerned with the sweeping changes that took place in public assistance programs at the end of the 20th century and the way in which the original and reformed versions of these programs relate to the well-being of children and their families. It is a valuable reference for practitioners and policymakers who are concerned with children and child-related issues, psychologists, sociologists, social workers, social program administrators, and students in psychology, social work, sociology, political science, and education.

For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: *interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. *thorough integration of teaching statistical theory with teaching data processing and analysis. *teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

This book is concerned with the sweeping changes that took place in public assistance programs at the end of the 20th century and the way in which the original and reformed versions of these programs relate to the well-being of children and their families. It is a valuable reference for practitioners and policymakers who are concerned with children and child-related issues, psychologists, sociologists, social workers, social program administrators, and students in psychology, social work, sociology, political science, and education.

For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them.

This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression.

Key features of the book include:

• interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature
• thorough integration of teaching statistical theory with teaching data processing and analysis
• teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

This book is for a two-semester course. For a one-semester course, see http: //www.routledge.com/9780415991544/

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: *interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. *thorough integration of teaching statistical theory with teaching data processing and analysis. *teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

Cities, counties, school districts and other local governments have suffered a long-lasting period of fiscal challenges since the beginning of the Great Recession. Metropolitan governments continue to adjust to the "new normal" of sharply lower property values, consumer sales, and personal income. Contributors to this volume include elected officials, academics, key people in city administrations, and other nationally recognized experts who discuss solutions to the urban problems created by the Great Recession. Metropolitan Resilience in a Time of Economic Turmoil looks at the capacity of local governments to mobilize resources efficiently and effectively, as well as the overall effects of the long-term economic downturn on quality of life. Introducing the reader to the fiscal effects of the Great Recession on cities, the book examines the initial fraying and subsequent mending of the social safety net, the opportunities for pursuing economic development strategies, the challenges of inter-jurisdictional cooperation, and the legacy costs of pension liabilities and infrastructure decay. Contributors are Phil Ashton, Raphael Bostic, Richard Feiock, Rachel A. Gordon, Rebecca Hendrick, Geoffrey J.D. Hewings, David Merriman, Richard Nathan, Michael A. Pagano, Breeze Richardson, Annette Steinacker, Nik Theodore, Rachel Weber, and Margaret Weir.