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.

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.

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.