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9781483331454 Academic Inspection Copy

Creating and Verifying Data Sets with Excel

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The book includes plentiful screenshots, text boxes summarizing important points, examples from across the social sciences, and questions at the end of each chapter. In addition, a sample dataset will be available online for students to download and use for all the examples and exercises throughout the text.
Robert McGrath is a Professor of Psychology at Fairleigh Dickinson University. He maintains an active research program in methodology, measurement and assessment, and professional issues in psychology. He has authored over 150 publications and presentations, including the book Quantitative Models in Psychology. He has received a number of awards for his research, including the Society for Personality Assessment's Martin Mayman Award for distinguished contribution to the literature in personality assessment. Dr. McGrath is a member of the American Psychological Association Council of Representatives, and has even been a candidate for president of the APA. He lost. When not occupied otherwise, he has also helped found two community organizations in his home town of Warwick NY addressing issues of land preservation and environmental sustainability.
1. Why This Book? 2. Software Options for Entering Data 3. An Introduction to Excel 4. Data Transformations 5. Data Entry and Verification 6. Data Import and Verification 7. Exporting to Statistical Software 8. Final Thoughts
This book is an effective body of work that combines the best ideas of data sets with Excel in allowing students to maximize the value of such data sets. -- Chip Baumgardner Excel has become a standard tool in the modern workplace. This well-written and accessible book covers foundational Excel data skills that are rarely taught directly in quantitative methods classes, but that are essential for anyone who aspires to succeed in a data-driven environment. -- Kurt Taylor Gaubatz I have been messing around with data for over 40 years, and I still learned useful techniques and tricks from this book. It will be invaluable for everyone doing data analysis, from novices to experts. I highly recommend it. -- David L. Streiner
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