Rebecca M. Warner: Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition, provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, Manova, factor analysis, and binary logistic regression. Author Rebecca M. Warner uses an applied approach that does not require formal mathematics; equations are accompanied by verbal explanations, and students are asked to think about the meaning of the equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method, along with a glossary and comprehension questions to help students master each concept. SPSS examples are used throughout the book; however, the conceptual material will be helpful for users of different programs. John K. White: Do The Math!: On Growth, Greed, and Strategic Thinking How do pyramid scams work? Are reality television shows fair? Why are sports so uncompetitive? Who really broke the bank in 2009?
Our world has become more complicated, and the notion of growth at any cost has led to constant economic uncertainty, a permanently stressed-out workforce, and everyday stories of government and corporate abuse. Author John K. White argues that a better knowledge of basic systems is needed to understand the world we live in, from pyramid scams to government bailouts, from sports leagues to stock markets, from the everyday to the seemingly complex. Do the Math! is a fresh look at the numbers of daily living, providing a thought-provoking guide to better understanding the world around us and enlightening consumers about misleading practice. Numerous creative examples and illustrative figures help to explain the realities of our ever-confusing mathematical world, and modern economic and contemporary social issues link mathematical concepts to real-world examples.
Rebecca M. Warner received a B.A. from Carnegie-Mellon University in Social Relations in 1973 and a Ph.D. in Social Psychology from Harvard in 1978. She has taught statistics for more than 25 years: from Introductory and Intermediate Statistics to advanced topics seminars in Multivariate Statistics, Structural Equation Modeling, and Time Series Analysis. She is currently a Full Professor in the Department of Psychology at the University of New Hampshire. She is a Fellow in the Association for Psychological Science and a member of the American Psychological Association, the International Association for Relationships Research, the Society of Experimental Social Psychology, and the Society for Personality and Social Psychology. She has consulted on statistics and data management for the World Health Organization in Geneva and served as a visiting faculty member at Shandong Medical University in China. John K. White (Ph.D.) has a B.Sc. from the University of Waterloo, Canada, and a Ph.D. from University College, Dublin in Applied Physics. Currently, he is a lecturer and Research Fellow at University College, Dublin. However, over the past 25 years, he has also worked as Project Manager and Technical Writer for Sun Microsystems, as a Computational Analysis/Technical Writer for Berminghammer Foundation, Consultant for Interactive Image Technologies for ScotiaBank, and Programmer/Computational analyst for the Ontario Government. He has a wide range of interests and is also active in promoting science and physics in secondary schools. He has published widely in a range of areas in academic journals, has contributed chapters to edited volumes, and has authored a number of technical publications.
- ID: 9781452280202
2nd Revised edition
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