Improving the application and assessment experiences of special constable candidates in England and Wales

Author:

Wadley StevenORCID

Abstract

PurposeThis paper proposes a set of recommendations based upon the limitations found with the application and assessment process to become a Special Constable (SC) with one of the 43 police forces in England and Wales.Design/methodology/approachParticipants were recruited via online social media platforms Twitter and LinkedIn, as well as personal networks and the study was geared towards both respondents who had completed the whole of the application and assessment process, as well as those who may have withdrawn at a particular point or who failed an element of the assessment.FindingsThis study yielded several key findings. First, some respondents had limited to no knowledge of the role of the Special Constable, nor of the depth of police work that would be expected of them. Secondly, respondents indicated that they would have benefited from support during the application and assessment process, specifying the advantages that could be derived from a variety of sources such as local force input and workshop sessions. Finally, respondents stated that poor communication from recruiting teams impacted their experience of applying to the Special Constable programmes, causing them to rethink their decision to join.Originality/valueThis research proposes that a far greater input from serving Special Constables during the application and assessment process is key to improving the experiences of candidates, and to their chances of success with the programme.

Publisher

Emerald

Reference47 articles.

1. Australian Federal Police (2024), “AFP reserve”, available at: https://careers.afp.gov.au/go/AFP-Reserve-Jobs/4738510/#:∼:text=AFP%20Reserve%20Jobs-,The%20AFP%20Reserve%20gives%20recently%20retired%20former%20employees%20the%20opportunity,adjust%20from%20working%20full%2Dtime (accessed 11 June 2024)

2. A systematic review of police recruitment training programmes;Policing,2019

3. Recruiting large online samples in the United States and India: Facebook, Mechanical Turk and Qualtrics;Political Science Research and Methods,2018

4. Reflecting on reflexive thematic analysis;Qualitative Research in Sport, Exercise and Health,2019

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