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Learning From Data
An Introduction To Statistical Reasoning
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Summary
This third edition integrates Excel for data analysis and offers downloadable resources compatible with SPSS, SAS, and Systat. Two extensive real data sets illustrate key concepts, while end-of-chapter problems and online instructor resources support learning. The book emphasises choosing appropriate procedures and includes discussions of effect size alongside power and significance.
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Learning From Data
$31800
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Ideal for undergraduate or beginning graduate students in psychology, education, and applied social and health sciences seeking a comprehensive and accessible introduction to statistical methods and data interpretation.
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This text focuses on how to interpret psychological data and statistical results. The authors' review the basics of statistical reasoning to help students better understand relevant data that affect their everyday lives.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to help students better understand relevant data that affect their 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 studentsβ 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 summarise the hypothesis testing procedures introduced.
- Emphasise 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 in-text analyses are conducted in Excel, while the bookβs downloadable resources contain files for conducting analyses in Excel, as well as text files that can be analysed 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 Instructorβs Resources include 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 real-world 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.
Book Details
INFORMATION
ISBN: 9780805849219
Publisher: Taylor & Francis Inc
Format: Hardback
Date Published: 09 August 2007
Country: United States
Imprint: Routledge
Edition: 3rd edition
Audience: Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 1156g
Pages: 580
About the Author
Arthur M. Glenberg is a Professor of Psychology and Educational Psychology at the University of WisconsinβMadison 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 WisconsinβMadison. He received his Ph.D. in 2001 from Temple University.
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