Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence.
With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.
Readers will learn how to:
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This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.
(Ruth Horry 2017-07-05)
This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.
(Barbra Teater 2017-07-18)
Statistics textbooks are not often known for their engaging writing style, but Douglas Bors’ work is an exception. Humorous, detailed, and clearly-written, the book guides readers through both a conceptual and procedural understanding of statistics essentials. A great resource that I look forward to using in my courses.
(Julie Alonzo 2017-07-21)
Dr. Douglas Alexander Bors is currently an Associate Professor Emeritus at the University of Toronto, the institution from which he received his Ph.D. For over three decades he has taught courses in statistics at the undergraduate and graduate levels ranging from the introductory level to multivariate statistics and structural equation modelling. He is also the Dean s Designate for Matter of Academic Integrity. He has served as a reviewer for several scholarly journals and has been a regular reviewer for Personality and Individual Differences. During his career his empirical research focused on problem solving and abstract reasoning. The short-form of the Advanced Raven s Progressive Matrices that he developed with Tonya Stokes is a widely used research instrument. Over the years he has acted as a consultant for major pharmaceutical firms as well as survey and marketing companies. Currently he is retained as a design and analysis consultant for a major marketing firm.
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