Provides a method and workflow, based on Benford's Law, for assessing the validity of self-reported social science data.
"synopsis" may belong to another edition of this title.
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.
Paul B. Stretesky is a Professor of Criminology at Northumbria University, UK. He is the author of eight books and over 100 journal articles and book chapters, primarily in the areas of environmental justice, environmental sociology, green criminology and food insecurity. He has funding from the Natural Environment Research Council (UK) for his research.
Kenneth J. Berry is an Emeritus Professor of Sociology at Colorado State University, USA. He is the author of seven books and 185 referred journal articles. He is a leading scholar in the statistics subfield known as 'permutation methods.' In 2002 he was named John N. Stern Distinguished Professor in the College of Liberal Arts at Colorado State University.
Janis E. Johnston works at the US Department of Agriculture (USDA) as a policy analyst. She is co-editor of a book on social equality and a co-author of five statistics books that focus on the subfield of statistics known as permutation methods.
Michael J. Lynch is a Professor of Criminology at the University of South Florida, USA. He is the founder of the subfield of criminology known as 'green criminology.' He is the author/editor of 20 books, some of which have multiple editions, more than 120 journal articles and 55 book chapters.
"About this title" may belong to another edition of this title.
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781009123075
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Seller Inventory # V9781009123075
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In English. Seller Inventory # ria9781009123075_new
Quantity: Over 20 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9781009123075
Quantity: Over 20 available
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. Seller Inventory # 26396099064
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Seller Inventory # V9781009123075
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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 Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781009123075
Quantity: 1 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 401359399
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18396099058
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Benford's Law in the social sciences to assess the validity of self-reported data. The authors first introduce a new measure of conformity to the Benford distribution that is created using permutation statistical methods and employs the concept of statistical agreement. In a switch from a typical Benford application, this book moves away from using Benford's Law to test whether the data conform to the Benford distribution, to using it to draw conclusions about the validity of the data. The concept of 'Benford validity' is developed, which indicates whether a dataset is valid based on comparisons with the Benford distribution and, in relation to this, diagnostic procedure that assesses the impact of not having Benford validity on data analysis is devised. Seller Inventory # 9781009123075