BA-DS-Research-Software.md

@@ -19,13 +19,15 @@ The research software listed below is used / taught in different programmes at F
 
 </summary>
 
-**Thematic analysis** is a qualitative research method aimed at understanding recurring patterns of content and meaning across a data set (e.g. a corpus of texts). Thematic analysis requires a high level of (self-)reflection as the researcher's own positionality is seminal in interpreting the data. Thematic analysis is often divided into six steps, from exploring the data to describing the results.
+Qualtrics is a digital survey tool that students and staff can use for free at Maastricht University. Please contact your faculty's ICT service and briefly mention your research purpose to receive access. Qualtrics permits you to create surveys from templates and to disseminate them online. The question types you may select range from free text responses to dropdown menus and scales. When it comes to analysing the participants' responses, you can either export the data and explore them with Python, R or other ready-made software, or you can use the many data filtering and data visualisation options within **Qualtrics**:
 
-Lawless, B., & Chen, Y.-W. (2019). [_Developing a method of critical thematic analysis for qualitative communication inquiry_](https://doi.org/10.1080/10646175.2018.1439423). Howard Journal of Communications, 30(1), 92–106.
+1) Qualtrics permits you to filter results based on respondents' age, nationality, education or whatever attributes you have asked them to provide.
+2) By default, Qualtrics shows you the results in table format and as bar charts. The visualisation of results can be changed. You can, for example, also create pie charts and change the colours and labels.
+3) All charts can be exported individually for your thesis, but you can also export complete reports. The "default report" contains all the responses. But you can also create selected reports based on your filters.
 
-Luo, A. (2022, December 05). [Content Analysis | Guide, Methods & Examples](https://www.scribbr.com/methodology/content-analysis/). Scribbr. Retrieved December 29, 2022.
+The following **video** explains the process step-by-step:
 
-Smith, C. P. (1992). [_Motivation and personality: Handbook of thematic content analysis_](https://worldcat.org/en/title/889813685). Cambridge University Press.
+[Qualtrics Edit Reports with Breakouts and Filters](https://www.youtube.com/watch?v=Igq2y0pVHCc)
 
 \[_Summary by Monika Barget_\]
 
@@ -50,15 +52,7 @@ The focus is on analysing social media data (e.g. YouTube comments and tweets) a
 </details>
 
 - Atlas.ti: 
-- Qualtrics: When it comes to analysing the responses, you can either export the data and explore them with Python, R or other ready-made software, or you can use the many data filtering and data visualisation options within **Qualtrics**:
-
-1) Qualtrics permits you to filter results based on respondents' age, nationality, education or whatever attributes you have asked them to provide.
-2) By default, Qualtrics shows you the results in table format and as bar charts. The visualisation of results can be changed. You can, for example, also create pie charts and change the colours and labels.
-3) All charts can be exported individually for your thesis, but you can also export complete reports. The "default report" contains all the responses. But you can also create selected reports based on your filters.
-
-The following **video** explains the process step-by-step:
-
-[Qualtrics Edit Reports with Breakouts and Filters](https://www.youtube.com/watch?v=Igq2y0pVHCc)
+- Qualtrics: 
 
 - Voyant Tools (text analysis):