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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Daniil Lebedev
GPS-Paradata: Opportunities for Application in Computer-Assisted Personal Interviews on Tablets
Complex Social Analysis
(Master’s programme)
2019
More and more surveys both in academic and in marketing spheres are now imply data collection with the help of interviewers using tablets. Computer Assisted Personal Interviews (CAPI) are presented in the literature as reliable way of replacing Paper and Pencil Personal Interviews (PAPI). Proliferation of such method of data gathering provides researches with additional opportunities of fieldwork monitoring by capturing and storing various types of paradata. This type of data gathered as by-product during the processes of data collection (mostly in case of computer-assisted interviews) includes records on interviewer’s and respondent’s characteristics, behaviour and information about the situation of an interview in general.

Data on the place of the interview or geo positioning system paradata (GPS-paradata) is one the simplest and intuitively understandable ways of paradata utilization speaking of fieldwork monitoring with the help of survey paradata. Either by comparing place in the start and in the end of the interview (geofencing) [Keating et al. 2014] or by analysing interviewers' path in the “field” [Wagner et al. 2017] we can identify both data falsifications and fabrications.

This research was conducted within project in which Russian Longitudinal Monitoring Survey (RLMS HSE) has been experimenting with applying CAPI as a method of data collection instead of PAPI. RLMS HSE is the biggest Russian panel longitudinal survey which is conducted annually having started in 1994 which allows researchers to trace dynamics of economical, medical, social and demographical changes in Russian population. In the first year of experimental change 37 interviewers used tablets to collect data resulting with 481 interviews. During data collection period tablets collected GPS paradata: GPS locations at the beginning and at the end of interviews as well as interviewers’ routes in the “field”.

In this paper we present results and practical advices on GPS-paradata analysis in case of fieldwork monitoring strategies including identifying "suspicious" behavior by two possible indicators with differentiation in thresholds used for distance between two GPS locations. We additionally present some analysis of GPS data quality (missing data, accuracy of the measurement) and factors which are connected with its lower values (region, interviewers’ characteristics).

Although there were some obstacles in employing GPS paradata for fieldwork monitoring connected with RLMS HSE design which limited the possible analysis to separate GPS locations’ measurements comparison, the research presents the wide range of potential GPS usage within fieldwork monitoring as well as some practical examples and recommendations.

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