Book excerpt: "Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards. Reflecting the growing importance of 'Big Data' in the social and health sciences, this thoroughly revised and streamlined new edition, outlines changes in best practice in use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science. Key features of the book include: - interweaving the teaching of statistical concepts with examples from publicly-available social and health science data and literature excerpts - thoroughly integrating the teaching of statistical theory with teaching of data access, processing and analysis in Stata - recognizing debates and critiques of the origins and uses of quantitative methods"--