1,009
Views
8
CrossRef citations to date
0
Altmetric
Articles

Developing a scale to measure the presence of possible prejudicial stereotyping in police interviews with suspects: The Minhas Investigative Interviewing Prejudicial Stereotyping Scale (MIIPSS)

, &
Pages 132-145 | Received 18 May 2015, Accepted 12 Oct 2016, Published online: 31 Oct 2016
 

Abstract

If police interviewers’ hold negative feelings towards certain groups, this may affect how they interview them (either as victims, witnesses or suspects) in that they may not obtain reliable accounts, being the aim of such interviews. The Minhas Investigative Interviewing Prejudicial Stereotyping Scale (MIIPSS) has been developed to assess the level of any investigative interviewers’ prejudicial stereotyping towards suspects. The current exploratory study involved semi-structured interviews with twenty people, who had previously been interviewed as suspects in England and also eight very experienced lawyers. Both their views were measured using the MIIPSS before being subjected to a Guttman analysis. Statistical analyses showed that MIIPSS satisfies the criteria for classification as a valid unidimensional and cumulative scale. Therefore, researchers could use MIIPSS as a tool to measure prejudicial stereotyping in investigative interviews. Interviewers could also use MIIPSS to monitor their own attitudes towards certain groups or individuals suspected of different types of crimes.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 241.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.