Michael A. Long, Paul B. Stretesky, Kenneth J. Berry

Applying Benford's Law for Assessing the Validity of Social Science Data

• Gebundenes Buch

Produktbeschreibung

"Benford's Law is a probability distribution for the likelihood of the leading digit in a set of numbers. This book seeks to improve and systematize the use of this in the social sciences to assess the validity of self-reported data, using a new measure of conformity to the Benford distribution"--

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 224
• Erscheinungstermin: 17. Oktober 2023
• Englisch
• Abmessung: 235mm x 157mm x 17mm
• Gewicht: 482g
• ISBN-13: 9781009123075
• ISBN-10: 1009123076
• Artikelnr.: 68463146

Autorenporträt

Michael A. Long is a Professor of Sociology at Oklahoma State University, USA. He is the author or co-author of six books and over 90 journal articles and book chapters primarily in the areas of environmental sociology, green criminology, sustainability, food insecurity, public health, and quantitative methodology. He has received funding from the National Science Foundation, US Department of Agriculture, the British Academy, among others for his research.

Inhaltsangabe

1. Introduction
2. Validity and self-reported data
3. Benford's law and assessing conformity
4. Data characteristics and the workflow of Benford agreement analysis
5. Benford agreement analysis of the Sea Around Us project fish landings data
6. Benford agreement analysis of US and global COVID-19 new-cases data
7. Assessing impacts of problematic Benford validity
8. Conclusion.