Advanced Qualitative Analysis (Thematic, Comparion and Relationship Analysis) Using ATLAS.TI 8

In this webinar, I have Dr. Majod Ghasemi from University of Science Malaysia to discuss Advanced Qualitative Analysis using ATLAS.TI 8. We talk about thematic analysis, comparison analysis and relationship analysis.

There are six steps in doing a proper thematic analysis and ATLAS.ti supports these steps. With respect to step 1, ATLAS.ti provides a vivid environment for importing, managing and reviewing documents and creating comments and memos. Regarding step 2, advanced coding features of ATLAS.ti will help the researchers to create quotations, code them, and manage these codes. In step 3 and 4, the codes are grouped to create themes or pattern codes and are reviewed and managed. Taking step 5 is also easy in ATLAS.ti as it provides a flexible range of tools to deal with the codes and themes such as word clouds and code-cooccurrence tables. Finally, the researcher can create reports and export everything to another editable environment such as Microsoft Word to come up with the final write up.

One of the main features of ATLAS.ti is its ability to perform comparison analysis. This is done through code-document table. Code-document table cross-tabulates the number of codes or code groups per documents or document groups, enabling the researcher to make comparisons across documents or document groups in terms of codes or code groups. The intersection of each row and column in this table will show the number of quotations or words (based on whether “count quotations” or “count words” has been selected by the researcher). In addition, the content of the corresponding quotations is displayed by ATLAS.ti when any of the cells in the margin area are selected.

Another magnificent analytic feature of ATLAS.ti is code-cooccurrence table. This smart table cross-tabulates codes in a table and the table shows how many times the two codes cooccur with each other. As a result, the values displayed in the margin area of the table is the extent to which the two codes (or theoretical constructs) correlate to each other. The bigger this value, the stronger the relationship between the two constructs. In other words, ATLAS.ti quantifies the degree to which two codes or theoretical constructs are related. The important issue in relation to this feature of ATLAS.ti is that not only positive relationships but also negative relationships can be quantified. In fact, when the two codes have a positive meaning and they cooccur a lot, then it can be concluded that the two constructs are positively correlated. However, when one of the codes has a positive meaning and the other one has a negative meaning and they cooccur for many times, it is interpreted that the codes have a strong negative correlation. Also, when the codes do not cooccur, this can be interpreted as the two codes are not correlated. Notably, ATLAS.ti can compute a kind of coefficient that somehow can be viewed as a correlation coefficient. This feature of the software can make the interpretation of the table much easier. Moreover, ATLAS.ti can display the quotations that have been coded by two codes. In other words, code-cooccurrence table can serve as a tool to integrate QDA at theoretical and data levels.

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