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https://doi.org/10.13094/SMIF-2020-00005

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Using Geospatial Data to Monitor and Optimize Face-to-Face Fieldwork

[journal article]

Bieber, Ina
Blumenberg, Johannes N.
Blumenberg, Manuela S.
Blohm, Michael

Abstract

Interviewers occupy a key position in face-to-face interviews. Their behavior decisively contributes to the quality of surveys. However, monitoring interviewers in face-to-face surveys is much more challenging than in telephone surveys. It is often up to the interviewer when they conduct the inte... view more

Interviewers occupy a key position in face-to-face interviews. Their behavior decisively contributes to the quality of surveys. However, monitoring interviewers in face-to-face surveys is much more challenging than in telephone surveys. It is often up to the interviewer when they conduct the interviews and which addresses they work on first. Nevertheless, homogeneous fieldwork, i.e. that which has a geographically similar processing status, is particularly essential for time- and eventdependent studies such as election studies. Irregular fieldwork combined with geographical differences can have substantial impacts on data quality. Using the example of the German Longitudinal Election Study (GLES), we propose and present a visual strategy by plotting key indicators of fieldwork onto a geographical map to monitor and optimize the fieldwork in face-toface interviews. The geographic visualization of fieldwork can be an additional tool not only for election studies, but also other studies.... view less

Keywords
Federal Republic of Germany; monitoring; interview; data quality; survey research; field research; geographical factors; visualization

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
face-to-face; fieldwork monitoring; geographical visualization; interviewer observation; survey management; German Longitudinal Election Study; GLES

Document language
English

Publication Year
2020

Page/Pages
p. 1-16

Journal
Survey Methods: Insights from the Field (2020)

Issue topic
Fieldwork Monitoring Strategies for Interviewer-Administered Surveys

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Contact  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2023 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.