Analiza danych jakościowych we współczesnej informatologii
| Main Author: | Cisek, Sabina |
|---|---|
| Format: | Proceeding NonPeerReviewed |
| Bahasa: | pl |
| Terbitan: |
, 2013
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| Subjects: | |
| Online Access: |
http://eprints.rclis.org/19146/1/Analiza%20danych%20jako%C5%9Bciowych%20we%20wsp%C3%B3%C5%82czesnej%20informatologii.pdf http://eprints.rclis.org/19146/ |
Daftar Isi:
- [Qualitative Data Analysis in Contemporary Information Science] This paper examines the methods (procedures, techniques) of empirical data analysis within the qualitative research in the XXI century’s Information Science. The text consists of two parts, the first of them characterizes qualitative data analysis in general, the second one – in Information Science. The basic research strategy used here is critical literature review in various versions. The issue of qualitative data analysis (QDA) is present both in methodological discussions and research practice of social sciences, particularly in sociology, psychology, ethnography and marketing studies. It makes the most significant matter, because the way of analyzing any gathered empirical material determines the research outcomes, their content, validity and credibility. However, generally accepted, precisely formulated standards of QDA have not yet been created, in contrast – different approaches and interpretations can easily be noticed. That, in turn, results from the very essence of the qualitative methodology, where exploration procedures are not strictly repeatable and empirical material is rich and hardly quantifiable. On the other hand, there exist different techniques of qualitative analysis, including – inter alia – the constant comparative method and concept mapping, as well as specialized computer software devoted to QDA. The main purpose of this paper is to study if, how and to what extent the contemporary Information Science is interested in the above indicated problems and what are their theoretical and empirical consequences for the discipline. As a result, the inquiry here is of exploratory nature. Two major questions have been asked. First of all, do information scientists reflect on qualitative data analysis in the context of the discipline’s subject and research field? How the body of literature in that area looks like? Secondly, is the qualitative data analysis really and properly used in the empirical research of Information Science? Which QDA techniques are preferred and why? What in particular is investigated using qualitative data analysis? The answers to these questions may enhance the level of methodological consciousness within Information Science in Poland.