Learning From Data: An Introduction To Statistical Reasoning [Hardcover]

Arthur Glenberg (Author), Matthew Andrzejewski (Author)

Book Description

Publication Date: August 9, 2007 | ISBN-10: 0805849211 | ISBN-13: 978-0805849219 | Edition: 3

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 CD contains 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.

Editorial Reviews

Review

"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

Product Details

• Hardcover: 440 pages
• Publisher: Routledge Academic; 3 edition (August 9, 2007)
• Language: English
• ISBN-10: 0805849211
• ISBN-13: 978-0805849219
• Product Dimensions: 9.9 x 7.1 x 1.4 inches
• Shipping Weight: 2.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #429,839 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

10 of 10 people found the following review helpful:

5.0 out of 5 stars The Best Introductory Statistics Text Ever Written, November 26, 1997

By A Customer

This review is from: Learning From Data: An Introduction To Statistical Reasoning (Hardcover)

I took Art's honors psychometric methods course at UW-Madison when I was a sophomore. Although I am a research analyst in industry and have a Master's degree in Statistics, I still use his book, both as a reference for my own research and to educate clients and co-workers. His book puts the math into plain English so that even non-mathematicians have a fighting chance to understand it. I highly recommend it every chance I get, even to people who have no experience in psychology.

4 of 4 people found the following review helpful:

5.0 out of 5 stars Excellent text, February 6, 2008

By 

Harry E. Blanchard (New Jersey, USA) - See all my reviews
(REAL NAME)   

This review is from: Learning From Data: An Introduction To Statistical Reasoning (Hardcover)

I have admired Art Glenberg's statistics text ever since receiving an early copy of the first edition. This is an excellent book and should be anyone's top choice for a course in statistics and/or experimental or research design. The book spends time explaining the often difficult and enlightening concepts of statistics rather than just dropping out forumlas. For example: the concept of variation is discusssed at length rather than throwing out a formula and assuming you'll catch it as obvious. Difficult concepts are also rehearsed and re-inforced. I also like the organization of chapters into bite-sized chunks. If you're a student, esp. one having trouble with the subject, buy this book. If you're a teacher, adopt this book.

4 of 8 people found the following review helpful:

2.0 out of 5 stars Ugh..., June 18, 2008

By 

BuckyBadger1111 "Bucky" (Madison, WI USA) - See all my reviews

This review is from: Learning From Data: An Introduction To Statistical Reasoning (Hardcover)

Not so good. As a mathematician, I found the lack of rigor in the book to be disappointing. I mean, sure, it was written for psychology students who probably have never taken a course above algebra, but come on, you can't introduce things as "AMAZING facts" and then not show where they come from. Would it kill you to write maybe a little calculus? I had Professor Glenberg for this class and I asked him a question about how one of the formulae was derived and he said he didn't know (remember, he wrote the book). It took him 2 days to figure out that all you had to do was take the derivative of a previous formula. Wow. Sorry, but it was just a bad experience.