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02100aam a2200397 i 4500 001 AA3D6DEEF17F11EE82DF7F7D41ECA4DB 003 SILO 005 20240403010045 008 230413t20242024enka b 001 0 eng 010 $a 2023016252 020 $a 1009123076 020 $a 9781009123075 020 $a 1009124242 020 $a 9781009124249 035 $a (OCoLC)1381093380 040 $a DLC $b eng $e rda $c DLC $d OCLCF $d OCLCO $d YDX $d SILO 042 $a pcc 050 00 $a HA29 L83745 2024 100 1 $a Long, Michael A., $e author. 245 10 $a Applying Benford's Law for assessing the validity of social science data / $c Michael A. Long, Oklahoma State University, Paul B. Stretesky, Northumbria University, Kenneth J. Berry, Colorado State University, Janis E. Johnston, USDA, Michael J. Lynch, University of South Florida. 264 1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2024. 300 $a xv, 207 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 520 $a "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"-- $c Provided by publisher. 650 0 $a Social sciences $x Statistical methods. 650 0 $a Distribution (Probability theory) 650 0 $a Quantitative research $x Evaluation. 700 1 $a Stretesky, Paul B., $e author. 700 1 $a Berry, Kenneth J., $e author. 700 1 $a Johnston, Janis E., $d 1957- $e author. 700 1 $a Lynch, Michael J., $e author. 776 08 $i Online version: $a Long, Michael A. $t Applying Benford's Law for assessing the validity of social science data $d Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2024 $z 9781009127950 $w (DLC) 2023016253 941 $a 1 952 $l USUX851 $d 20240717024912.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=AA3D6DEEF17F11EE82DF7F7D41ECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search