OpenXml provides an easy way to query comments from a document. Recent versions of Word store documents in XML format. The software also makes use of OpenXml library to extract comments from Word documents. This software is written in C# programming language using WordCommentsAnalyzer, a free, open-source tool that allows qualitative researchers to automate organization of the qualitative codes through a fast and easy-to-learn graphical user interface (GUI) while coding the textual material using Microsoft Word as professional, familiar word-processing software. However, as the amount of data grows, organizing codes in Word comments becomes an exhausting task. Using Word comments provides a straightforward way to annotate specific portions of the text and attach keywords or categories (codes) to them. The use of Microsoft Word for QDA is commonly documentedĨ. For these reasons, some researchers use professional word-processing programs for their qualitative research projects. On the other hand, free or open-source solutions that are available often do not provide a smooth editing and markup experience (e.g., QDA Miner Lite does not support Persian and Arabic languages CATMA and CATĦ are not fast due to their web-based nature). Besides, the purchase of commercial QDA software may not be affordable for some researchers. Moreover, using complex QDA software may create a feeling for the researcher that they are forced to work within the software structuresĥ. ![]() ![]() In fact, research has shown that learners of complex qualitative tools often struggle with confusions, frustrations, and feelings of inadequacyĤ. However, learning to use these complex software tools may be inconvenient for some researchers. For example, a study found that 763 published articles in the Scopus database (between 19) used Atlas.ti and NVivo in their work, and that the majority of these studies were published in health sciences journalsģ. Commercial qualitative data analysis (QDA) software tools such as NVivo, MAXQDA and Atlas.ti seem to be the most popular in the qualitative research communityĢ, especially in health research.
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