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Stat-Spotting : a Field Guide to Identifying Dubious Data.
Does a young person commit suicide every thirteen minutes in the United States? Are four million women really battered to death by their husbands or boyfriends each year? Is methamphetamine our number one drug problem today? Alarming statistics bombard our daily lives, appearing in the news, on the...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
University of California Press,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Table of Contents; Preface to the 2013 Edition; Part 1: Getting Started; A. Spotting Questionable Numbers; B. Background; B.1: Statistical Benchmarks; B.2: Severity and Frequency; Part 2: Varieties of Dubious Data; C. Blunders; C.1: The Slippery Decimal Point; C.2: Botched Translations; C.3: Misleading Graphs; C.4: Careless Calculations; D. Sources: Who Counted-And Why?; D.1: Big Round Numbers; D.2: Hyperbole; D.3: Shocking Claims; D.4: Naming the Problem; E. Definitions: What did they Count?; E.1: Broad Definitions; E.2: Expanding Definitions.
- E.3: Changing DefinitionsE. 4: The Uncounted; F. Measurements: How did they Count?; F.1: Creating Measures; F.2: Odd Units of Analysis; F.3: Loaded Questions; F.4: Raising the Bar; F.5: Technical Measures; G. Packaging: What are they Telling Us?; G.1: Impressive Formats; G.2: Misleading Samples; G.3: Convenient Time Frames; G.4: Peculiar Percentages; G.5: Selective Comparisons; G.6: Statistical Milestones; G.7: Averages; G.8: Epidemics; G.9: Correlations; G.10: Discoveries; H. Rhetoric: What do they Want Us to Think?; H.1: Using Short-Term Turnover to Measure Long-Term Problems.
- H.2: Sudden Turns for the WorseH. 3: Designating Myths; H.4: Rhetorical Flourishes; I. Debates: What if they Disagree?; I.1: Causality Debates; I.2: Equality Debates; I.3: Policy Debates; Part 3: Stat-Spotting on your Own; J. Summary: Common Signs of Dubious Data; K. Better Data: Some Characteristics; L. Afterword: If you had No Idea Things were that Bad, they Probably Aren't; M. Suggestions for those who Want to Continue Stat-Spotting; Acknowledgments; Notes; Index.