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A General Interviewer Training Curriculum for Computer-Assisted Personal Interviews (GIT-CAPI) (Version 1.0)
[working paper]
Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract
Interviewer training is essential to ensure high-quality data in interviewer-administered surveys. Basically, interviewer training can be divided into general interviewer training which provides interviewers with fundamental knowledge about their role in the data collection process as well as succin... view more
Interviewer training is essential to ensure high-quality data in interviewer-administered surveys. Basically, interviewer training can be divided into general interviewer training which provides interviewers with fundamental knowledge about their role in the data collection process as well as succinct practical advice and project-specific interviewer training which provides additional project-specific qualifications. This survey guideline consists of two parts (I) the introductory and explanatory text and (II) the General Interviewer Training for Computer-Assisted Personal Interviews (GIT-CAPI) Curriculum. The GIT-CAPI aims at offering guidance on how to design, structure, and implement general interview training for Computer-Assisted Personal Interviews (CAPI). It includes seven training modules addressing the following topics: (1) procedural view on surveys, (2) quality perspective on surveys, (3) gaining respondents’ cooperation, (4) survey administration and survey instruments, (5) interviewing techniques and fieldwork, (6) professional standards and ethics, data protection and privacy, and (7) a technical tutorial. The GIT-CAPI is written primarily for survey research institutes and large survey projects, but they are also aimed at individual researchers and university research projects to provide them with information on relevant basic interviewer qualifications and allow them to incorporate some modules of the GIT-CAPI into their own interviewer training program. This GIT-CAPI will be revised regularly.... view less
Keywords
data quality; response behavior; survey; survey research; interview; data capture
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2017
City
Mannheim
Page/Pages
11 p.
Series
GESIS Survey Guidelines
Status
Primary Publication; peer reviewed
Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0