Applying Benford's Law for Assessing the Validity of Social Science Data - Long, Michael A. (Oklahoma State University); Stretesky, Paul B. (Northumbria University, Newcastle); Berry, Kenneth J. (Colorado State University)
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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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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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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.