Truth Addict

Höfundur: John Victor Kane (Útgáfa: 0)
Truth Addict

Kaup valmöguleikar

Foreword by Charles Wheelan, author of New York Times bestseller Naked Statistics: Stripping the Dread from the DataWhat makes some evidence strong, some evidence weak, and some evidence total nonsense? Truth Addict is your guide to answers.Individuals, policymakers, and businesses across the globe want to make decisions based on evidence. But not all evidence is created equal.Truth Addict is the layperson's guide to data, truth, and the gap between them.

Whether it's collected through laboratory experiments or public surveys, market research or archival records, data has a story to tell us—but only if we can read it. Drawing on engaging examples, John V. Kane details the logic of gathering and analyzing data as a means of getting us closer to the truth, even if the truth hurts.Developing research questions. Defining variables. Choosing metrics. Testing hypotheses.

Quantifying relationships. Ruling out chance. Considering alternative explanations. Knowing not just that "correlation does not equal causation," but also how to tell the difference. These are key steps along Kane's "Road to Evidence," a journey that begins with curiosity and ends at objective knowledge. You don't have to be a math whiz to study our social world—Truth Addict provides every reader tools to uncover the reality within the numbers.

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Útgefandi
University of California Press
ISBN
9780520416604
Print ISBN
9780520416581
Format
ePub
Útgáfa
0
Höfundar
John Victor Kane
Tungumál
English
Útgefið
2026-08-04
Prent takmörkun á líftíma
100

Kaflar

  • Title
  • Copyright
  • Dedication
  • Contents
  • List of Illustrations
  • Foreword
  • Acknowledgments
  • Introduction
  • Level 1: A Problem of Motivation
  • 1. What Are We Talking About?
  • 2. Motivated to Believe (What We Want to Be True)
  • 3. Aiming for Accuracy (Even When the Truth Hurts)
  • Level 2: It All Begins With A Question
  • 4. Asking the Right Questions
  • 5. Research Questions Have Two Variables We Care About
  • 6. First Formulate, Then Fixate
  • Level 3: Learning the Lingo, Loving the Logic
  • 7. Homing In On a Hypothesis
  • 8. The Mechanism Matters
  • 9. Design Intelligently
  • 10. Out of the Sky and into the Spreadsheet
  • 11. Comparison, the Giver of Knowledge
  • Level 4: Finding Meaning in the Findings
  • 12. The Numbers We Really Care About
  • 13. Go Figures
  • 14. Wrestling with Randomness
  • 15. Sizing Up the Results
  • Level 5: Data, Data Everywhere, Now Let Us Stop to Think
  • 16. Separating the Three C’s—Coincidence, Correlation, and Causation
  • 17. Reading Results in Reverse, and the Evil Powers of Hidden Confounders
  • 18. What Should We Conclude? (Flaws, Limitations, and Implications)
  • 19. The Slow, Careful Crawl Toward Truth
  • Conclusion: The Truth Is Out There (Now Go and Find It)
  • Notes
  • References
  • Index