Different Researchers, Different Results? Analyzing the Influence of Researcher Experience and Data Type During Qualitative Analysis of an Interview and Survey Study on Security Advice

要旨

When conducting qualitative research it is necessary to decide how many researchers should be involved in coding the data: Is one enough or are more coders beneficial? To offer empirical evidence for this question, we designed a series of studies investigating qualitative coding. We replicated and extended a usable security and privacy study by Ion et al. to gather both simple survey data and complex interview data. We had a total of 65 students and seven researchers analyze different parts of this data. We analyzed the codebook creation process, similarity of outcomes, inter-rater reliability, and compared the student to the researcher outcomes. We also surveyed five years of SOUPS-PC members about their views on coding. The reviewers view on coding practices for complex and simple data are almost identical. However, our results suggest that the coding process can be different for the two types of data, with complex data benefiting more from interaction between coders.

著者
Anna-Marie Ortloff
University of Bonn, Bonn, Germany
Matthias Fassl
CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Alexander Ponticello
CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Florin Martius
University of Bonn, Bonn, Germany
Anne Mertens
University of Bonn, Bonn, Germany
Katharina Krombholz
Saarland Informatics Campus, Saarbrücken, Germany
Matthew Smith
University of Bonn, Bonn, Germany
論文URL

https://doi.org/10.1145/3544548.3580766

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Working with Data

Hall F
6 件の発表
2023-04-25 23:30:00
2023-04-26 00:55:00