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OverviewFull Product DetailsAuthor: Rebecca M. WarnerPublisher: SAGE Publications Inc Imprint: SAGE Publications Inc Edition: 3rd Revised edition ISBN: 9781506352800ISBN 10: 1506352804 Pages: 632 Publication Date: 14 April 2020 Audience: College/higher education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsCombined, these texts provide both simplistic explanations of analyses, and also in-depth exploration of them with examples. Thus, they prove to be a useful resource to beginning statistics students all the way through the dissertation level, and even for faculty conducting research. --Karla Hamlen Mansour The book is well-written and focuses on practical applications of the concepts rather than typical 'textbook' applications. The focus on meaning rather than the mechanics of computation is also a strength. --Linda M. Bajdo This book presents statistical complexity in a friendly and uncomplicated way with friendly text and plenty of helpful diagrams and tables. --Beverley Hale Warner's textbook is ideal for graduate or advanced undergraduate students providing extensive, yet highly accessible, coverage of important issues in fundamental research design and statistical analysis and newer recommendations in how to conduct statistical analysis and report results ethically. She writes extremely well and my students find her book very readable and useful. --Paul F. Tremblay Well-written, comprehensive statistics book. A very valuable resource for advanced undergraduate and graduate students. --Dan Ispas Well-written, comprehensive statistics book. A very valuable resource for advanced undergraduate and graduate students. --Dan Ispas Warner's textbook is ideal for graduate or advanced undergraduate students providing extensive, yet highly accessible, coverage of important issues in fundamental research design and statistical analysis and newer recommendations in how to conduct statistical analysis and report results ethically. She writes extremely well and my students find her book very readable and useful. --Paul F. Tremblay This book presents statistical complexity in a friendly and uncomplicated way with friendly text and plenty of helpful diagrams and tables. --Beverley Hale The book is well-written and focuses on practical applications of the concepts rather than typical 'textbook' applications. The focus on meaning rather than the mechanics of computation is also a strength. --Linda M. Bajdo Combined, these texts provide both simplistic explanations of analyses, and also in-depth exploration of them with examples. Thus, they prove to be a useful resource to beginning statistics students all the way through the dissertation level, and even for faculty conducting research. --Karla Hamlen Mansour The book is well-written and focuses on practical applications of the concepts rather than typical 'textbook' applications. The focus on meaning rather than the mechanics of computation is also a strength. --Linda M. Bajdo Warner's textbook is ideal for graduate or advanced undergraduate students providing extensive, yet highly accessible, coverage of important issues in fundamental research design and statistical analysis and newer recommendations in how to conduct statistical analysis and report results ethically. She writes extremely well and my students find her book very readable and useful. --Paul F. Tremblay Well-written, comprehensive statistics book. A very valuable resource for advanced undergraduate and graduate students. --Dan Ispas This book presents statistical complexity in a friendly and uncomplicated way with friendly text and plenty of helpful diagrams and tables. --Beverley Hale Combined, these texts provide both simplistic explanations of analyses, and also in-depth exploration of them with examples. Thus, they prove to be a useful resource to beginning statistics students all the way through the dissertation level, and even for faculty conducting research. --Karla Hamlen Mansour Author InformationRebecca 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. Tab Content 6Author Website:Countries AvailableAll regions |