A Note on Interviewer Performance Measures in centralised CATI Surveys
Keywords: non-response, interviewer performance, contact level, multiple membership, cross-classified multilevel, random assignment
AbstractInterviewer performance with respect to convincing sample members to participate in surveys is an important dimension of survey quality. However, unlike in CAPI surveys where each sample case ‘belongs’ to one interviewer, there are hardly any good measures of interview performance for centralised CATI surveys, where even single contacts are assigned to interviewers at random. If more than one interviewer works one sample case, it is not clear how to attribute success or failure to the interviewers involved. In this article, we propose two correlated methods to measure interviewer contact performance in centralised CATI surveys. Their modelling must take complex multilevel clustering effects, which need not be hierarchical, into account. Results are consistent with findings from CAPI data modelling, and we find that when comparing effects with a direct (‘naive’) measure of interviewer contact results, interviewer random effects are largely underestimated using the naive measure.
How to Cite
Lipps, O. (2008). A Note on Interviewer Performance Measures in centralised CATI Surveys. Survey Research Methods, 2(2), 61-73. https://doi.org/10.18148/srm/2008.v2i2.310
Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, users can use, reuse and build upon the material published in the journal but only for non-commercial purposes and with proper attribution.