Learning From Data

An Introduction To Statistical Reasoning

Arthur Glenberg, Matthew Andrzejewski

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Hardback

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English

Routledge
09 August 2007

Research methods: general; Psychology; Probability & statistics

Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives.

Numerous examples based on current research and events are featured throughout.

To facilitate learning, authors Glenberg and Andrzejewski:

Devote extra attention to explaining the more difficult concepts and the logic behind them Use repetition to enhance students’ memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems Employ a six-step procedure for describing all statistical tests from the simplest to the most complex Provide end-of-chapter tables to summarize the hypothesis testing procedures introduced Emphasizes how to choose the best procedure in the examples, problems and endpapers Focus on power with a separate chapter and power analyses procedures in each chapter Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles.

The third edition has a user-friendly approach:

Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book’s downloadable resources contain files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat Two large, real data sets integrated throughout illustrate important concepts Many new end-of-chapter problems (definitions, computational, and reasoning) and many more on the companion CD Online Instructor’s Resources includes answers to all the exercises in the book and multiple-choice test questions with answers Boxed media reports illustrate key concepts and their relevance to realworld issues The inclusion of effect size in all discussions of power accurately reflects the contemporary issues of power, effect size, and significance.

Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.

By: Arthur Glenberg, Matthew Andrzejewski
Imprint: Routledge
Country of Publication: United States
Edition: 3rd edition
Dimensions: Height: 254mm, Width: 178mm, Spine: 36mm
Weight: 1.156kg
ISBN: 9780805849219
ISBN 10: 0805849211
Pages: 580
Publication Date: 09 August 2007
Audience: Professional and scholarly , Undergraduate , Further / Higher Education
Replaced By: 9780367457983
Format: Hardback
Publisher's Status: Active

Arthur M. Glenberg is a Professor of Psychology and Educational Psychology at the University of Wisconsin–Madison in the area of cognitive/perceptual sciences. He received his Ph.D. in 1974 from the University of Michigan. Matthew E. Andrzejewski is a Research Scientist in the Department of Psychiatry, studying behavioral neuroscience, and a lecturer in the Department of Psychology at the University of Wisconsin–Madison. He received his Ph.D. in 2001 from Temple University.

Reviews for Learning From Data: An Introduction To Statistical Reasoning

My teaching assistants and students, as well as other statistics instructors in my department, regard it as the best introductory statistics book available!The connection of the dialogue with the real world ! is the book's greatest strength. It keeps ! many of the students engaged in a subject where they often expect to be bored. -Daniel S. Levine, PhD, University of Texas at Arlington !it is a rigorous yet clear text with an emphasis on power that !is lacking in many other introductory texts! I love the idea of focusing on Excel!I ! have been using Glenberg for the past 4 or 5 years!.I will seriously consider its adoption (and almost certainly will adopt it). -Richard E. Zinbarg, PhD, Northwestern University Praise for the first edition: ...an unusually attractive new entry in the introductory statistics sweepstakes...Chapters are well organized...Examples seem to be clear and easy to follow, with a six part scheme used consistently to outline statistical tests. --Contemporary Psychology