Abstract

The benefits of rapport between interviewers and respondents, in terms of recruiting the latter and motiving them to participate in research, have been generally endorsed. However, there has been less clarity with regard to the association between rapport and data quality. In theory, rapport could be beneficial if it motivates people to give complete and honest responses. On the other hand, efforts to maintain rapport by exhibiting pleasing and socially desirable behaviour could well be detrimental to data quality. In a large longitudinal epidemiological sample, generalized estimating equations (GEE) analyses were used to examine the association between rapport and the following three quality indicators: missing responses, responses to sensitive questions, and consistency of responses. The results of these analyses indicate an association between a high level of rapport and fewer missing responses. In contrast, we found more socially desirable responses for the high-rapport group. Finally, the high-rapport group did not differ from the low-rapport group in terms of the consistency of their responses.

Highlights

  • Research questions can be quite complex, and may involve sensitive topics

  • We found no gender-based differences in the level of rapport, nor any differences between respondents with different levels of education

  • The results indicated a significant relation between rapport and socially desirable responses to sensitive questions

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Summary

Introduction

Research questions can be quite complex, and may involve sensitive topics In such cases, face-to-face interviews are the best and, possibly, only way of collecting the data needed to answer such questions. In the case of survey designs in particular, the standardized interview is the golden standard to minimise the impact of this interaction on data quality. Even when such measures are taken, research has shown that interactions during interviews often have the potential to impact data quality, either in a positive or negative way [1,2,3,4]. Rapport may be one of the mechanisms that can explain the impact of respondent and interviewer interaction on the quality of the data collected [5,6]

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