Course: Work with Selected Software Designed for Quantitative and Qualitative Data Analyses

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Course title Work with Selected Software Designed for Quantitative and Qualitative Data Analyses
Course code UOP/OPRSO
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Summer
Number of ECTS credits 10
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hajduchová Hana, Mgr. Ph.D.
  • Brabcová Iva, doc. Ing. Ph.D.
  • Vacková Jitka, doc. Mgr. et Mgr. Ph.D.
  • Hricová Alena, doc. PhDr. Bc. Ph.D.
Course content
The subject is focused on the work with selected softwares for qualitative and quantitative data analyses - as required by the chosen methods and techniques of the study. This particularly relates to the user`s knowledge of SPSS (and other selected softwares - e.g. TEXTQUEST) - particularly in the area of placing data (creation of a matrix), outputs for descriptive analyses including their interpretation (modus, mean and median; contingency table as a besis for re-categorization); in ATLAS.ti (or other softwares for qualitative analyses): creation of and dealing with categories in qualitative studies including the output in the form of diagrams, maps (etc.) or code lists.

Learning activities and teaching methods
unspecified
Learning outcomes
Knowledge and skills will be acquired relating to the analysis of qualitative and quantitative using available softwares, including a complex orientation in software environments. The outputs of these programs will be graphically processed for the needs of a study and a presentation, e.g. at conferences.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
The output from a data matrix developed in SPSS of a list of open codes from ATLAS.ti; re-categorization (quanti-orientation) and further coding in the qualitative strategy (possible proposals for further data processing using, e.g., the grounded theory). The data from a quantitative study will be processed using descriptive statistics, including a necessary re-categorization and a proposal of statistic tests). Students will develop an output of a selected software for the data analysis focused on their theses (particularly research strategies) - e.g. either in ATLAS.ti (in the form of maps/diagrams and a code list) or in SPSS ("output"). The discussion at the exam will be held about the data and their interpretation, including the possibilities of further software or analytic processing (selected statistic tests, further types of coding and imaging).
Recommended literature
  • ATKINS, L., WALLACE, S. Qualitative Research in Education. London: Sage Publication., 2012. ISBN 9781446208076.
  • BROWN, V., CLARKE, V. Qualitative Research: A Practical Guide for Beginners.. London: Sage Publications., 2013. ISBN 978-84787-581-5.
  • CALOW, H. Practice case study. Journal of Software Maintenance: Research and Practice, 1990.
  • Friese, S. Qualitative Data Analysis with ATLAS.ti.: second edition. London: SAGE, 2014. ISBN 9781446282038.
  • GUPTA, V., GUPTA, A. R., AGRAWAL, U., KUMAR, A., & VERMA, R. Improving construction management through advanced computing and decision making. Crowdsourcing and probabilistic decision-making in software engineering: Emerging research and oppor, 2019.
  • CHAPIN, N. Conference on software maintenance - 1989: A reprot. Journal of Software Maintenance: Research and Practice, 1990.
  • CHEN, A. C., MORAN, S., SUN, Y., & VU, K. -. L. Comparison of intellectus statistics and statistical package for the social sciences: Differences in user performance based on presentation of statistical data.
  • LEACH, R. J. Software metrics and software maintenance. Journal of Software Maintenance: Research and Practice, 1990.
  • NOSEK, J. T., & PALVIA, P. Software maintenance management: Changes in the last decade. Journal of Software Maintenance: Research and Practice, 1990.
  • ROTENSTREICH, S. Enhancements through design transformations: A retroactive case study. Journal of Software Maintenance: Research and Practice, 1990.
  • Řehák, J., Brom, O. SPSS. Praktická analýza dat. Brno: Computer Press. 336 s., 2015. ISBN 978-80-251-4609-5.
  • Stal, T., & Reading, A. M. grid for multidimensional and multivariate spatial representation and data processing.. Journal of Open Research Software, 2020.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester