Patricia Goodson is professor of health education in the Department of Health & Kinesiology at Texas A&M University (TAMU). She obtained a bachelor’s degree in Linguistics (from Universidade Estadual de Campinas) and a master’s in Philosophy of Education (from Pontifícia Universidade Católica de Campinas) in Brazil; a master’s in General Theological Studies (from Covenant Theological Seminary) and a PhD in Health Education (from the University of Texas at Austin) in the United States. At TAMU, she has taught mostly graduate-level courses such as Health Behavior Theory, Health Research Methods, Health Program Evaluation, Health Education Ethics, and Advanced Health Behavior Theory. In 2007, while acting as associate dean for Graduate Program Development, she created and implemented a college-wide writing support service for graduate students, based on the POWER model described in this book. Currently, as director of the College of Education and Human Development’s Writing Initiative (POWER Services), she offers Basic and Advanced Writing Studios for graduate students in the college, on a regular basis, and occasionally teaches writing workshops for faculty at Texas A&M and other universities. Dr. Goodson has won several department-, college-, and university- level awards for her teaching and research. In 2012 she was awarded the title of Presidential Professor for Teaching Excellence at Texas A&M University—one of the highest teaching awards at that university. Also in 2012, she became the university’s sole nominee for the Piper Professor Award, a state-level recognition for teaching. While she considers mentoring graduate students the most fulfilling part of her career, a couple of research interests vie for her attention. Her research focuses on topics such as sexual health of adults and adolescents, the history of the HIV/AIDS epidemic, and public health genomics. She has published extensively in high-impact journals, has reviewed for several prestigious publications, and has served as book review editor for The Journal of Sex Research. One of her intellectual passions is theory, and her “other” book presents a critique of health education’s current use of theory in both research and practice.
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.
The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.
Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
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