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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 covers best practice in the 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:Rachel A. Gordon is Associate Dean for Research and Administration and Professor of Health Studies in the College of Health and Human Sciences at Northern Illinois University, USA. Professor Gordon has multidisciplinary substantive and statistical training and a keen interest in teaching and disseminating applied statistics within the health and social sciences.
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