ABSTRACT
Social research methodologists have postulated that the transparency of survey procedures and data processing is mandatory for assessing the Total Survey Error. Recent analyses of data from cross-national surveys have demonstrated an increase in the quality of documentation reports over time and significant differences in documentation quality between the projects. This research note replicates previous results with an extended set of documentation-related quality indicators describing the degree of completeness of information at the consecutive steps of the survey cycle. It also extends earlier findings by indicating no significant relationship between the quality of the survey documentation and the quality of the survey itself. We analysed a meta-data set of survey characteristics, studying all available up-to-date methodological reports of 1,145 national surveys from four large-scale multi-wave projects: the European Quality of Life Survey (2003–2016), European Social Survey (2002–2018), European Values Study (1981–2017), and International Social Survey Programme (1985–2018).
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No potential conflict of interest was reported by the author(s).
Research data and replication files
To facilitate research openness, transparency and reproducibility, replication materials and the datasets for analysis are available in this repository https://osf.io/b9adk/
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Piotr Jabkowski
Piotr Jabkowski is an associate professor at the Faculty of Sociology Adam Mickiewicz University in Poznan, and a member of Sampling and Weighting Experts Panel in the European Social Survey for rounds 10 and 11. His research focuses on the methodology of cross-country comparative surveys, the total survey error paradigm and sampling theory.