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Documentation of mail data collection (Version 1.0)
[working paper]
Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract Transparency and reproducibility are key elements of good science, and this also holds for the process
of data collection in scientific surveys. To conduct analyses based on survey data collected by others,
researchers heavily depend on accurate documentation of all stages in the data collection p... view more
Transparency and reproducibility are key elements of good science, and this also holds for the process
of data collection in scientific surveys. To conduct analyses based on survey data collected by others,
researchers heavily depend on accurate documentation of all stages in the data collection process, either
for generating new scientific evidence or for reviewing previous research findings (e.g., in replication
studies). In this contribution, we propose documentation guidelines for mail surveys. In doing this,
we not only focus on mail-only surveys but also cover documentation guidelines for self-administered
mixed-mode surveys, thus taking into account their growing importance in the survey landscape.... view less
Keywords
data capture; data documentation; mail survey; transparency; data preparation
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language
English
Publication Year
2020
City
Mannheim
Page/Pages
12 p.
Series
GESIS Survey Guidelines
DOI
https://doi.org/10.15465/gesis-sg_en_032
Status
Published Version; peer reviewed