Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-10T02:56:57.507Z Has data issue: false hasContentIssue false

Chapter 4 - Data Characteristics and the Workflow of Benford Agreement Analysis

Published online by Cambridge University Press:  09 November 2023

Michael A. Long ,
Paul B. Stretesky ,
Kenneth J. Berry ,
Janis E. Johnston  and
Michael J. Lynch
Michael A. Long
Affiliation:
Oklahoma State University
Paul B. Stretesky
Affiliation:
Northumbria University, Newcastle
Kenneth J. Berry
Affiliation:
Colorado State University
Janis E. Johnston
Affiliation:
USDA
Michael J. Lynch
Affiliation:
University of South Florida
Get access

Summary

Chapter 4 begins with a discussion of the types and kinds of data most suitable for an analysis that uses the Benford probability distribution. Next we describe an R computer program – program Benford – designed to evaluate observed data for agreement with the Benford probability distribution; and we give an example of output from the program using a typical dataset. We then move to an overview of our workflow of Benford agreement analyses where we outline our process for assessing the validity of data using Benford agreement analyses. We end the chapter with a discussion of the concept of Benford validity, which we will employ in subsequent chapters.

Keywords

Benford distributionBenford workflowdata characteristicsmeasures of agreementvalidity
Type
Chapter
Information
Applying Benford's Law for Assessing the Validity of Social Science Data , pp. 74 - 93
Publisher: Cambridge University Press
Print publication year: 2023

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×