Computer Assisted Personal Interviewing – The Bermuda Experience

Article type: Research Article

Authors: Trott, Desmond L.^{; *} | Simpson, Andrew M.

Affiliations: Bermuda Government, Department of Statistics, Cedar Park Centre, 48 Cedar Avenue, Hamilton HM11, Bermuda

Correspondence: [*] Corresponding author. Tel.: +1 441 297 7761; Fax: +1 441 295 8390; E-mail: statistics@gov.bm

Abstract: Though relatively small, the Bermuda Department of Statistics faces challenges similar to those of larger statistical agencies. These include: scarce storage space, rising printing costs and an increasing need for timely and reliable data. In response to these challenges, an investigation into new and more cost effective means of conducting surveys was initiated. Computer Assisted Personal Interviewing (CAPI) involves the use of a portable computer to collect, store and transmit data related to a personal survey interview. This interviewing method has the capacity to increase the quality and efficiency of data collection and processing. The Department tested this interviewing method during the conduct of the decennial Household Expenditure Survey (HES) from May to August 2004. The report provides an overview of each phase of the pilot study from preparation to performance. The main benefits realised during the pilot study were a reduction of manual editing, high-speed delivery of raw data and less interviewer fatigue once accustomed to CAPI. It can be concluded that the CAPI method is a viable alternative for collecting survey data. However, caution must be exercised when deciding on a method of data capture for various surveys. Decisions should be made based on the length and complexity of the survey questionnaire and the type of questions asked. Also, it was quite evident, and primarily from experience, that strict survey controls were needed for the fieldwork operations, such as weekly reporting to office staff, constant follow-up and increased observation of the CAPI interviewers in the field.

DOI: 10.3233/SJU-2005-22203

Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 22, no. 2, pp. 133-145, 2005