Developing effective contract cheating detection and prevention strategies depends on accurate measurement. The variety of measurement methods in research has resulted in large variation in estimates of contract cheating prevalence and incidence. Criminology has resolved similar measurement issues by triangulating multiple, imperfect datasets (e.g., victim surveys and police records) to quantify crime and expose the ‘dark figure of crime’ (the volume of crime not officially recorded by justice agencies). This chapter critiques the methods used to measure contract cheating, draws parallels with approaches to measuring crime, and highlights lessons for contract cheating assessment that can be learned from measuring crime. We argue for increased use of mixed-methods and data triangulation in contract cheating research to assist the development and evaluation of detection and prevention strategies.
|Title of host publication||Contract Cheating in Higher Education|
|Subtitle of host publication|| Global Perspectives on Theory, Practice, and Policy|
|Editors|| Sarah Elaine Eaton, Guy J. Curtis, Brenda M. Stoesz, Joseph Clare, Kiata Rundle, Josh Seeland|
|Place of Publication||Switzerland|
|Number of pages||14|
|Publication status||Published - 31 Oct 2022|