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Analysing Qualitative Data (5 cr)

Code: A9389-3001

General information


Enrollment

31.05.2019 - 31.07.2019

Timing

04.10.2019 - 31.12.2019

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Laurea university of applied sciences

Campus

Laurea Leppävaara

Teaching languages

  • English

Seats

15 - 20

Degree programmes

  • Degree Programme in Service Innovation and Design (HYA2), Laurea Leppävaara

Teachers

  • Otto Mäkelä

Groups

  • HYA219SJ
    Degree Programme in Service Innovation and Design, yamk, S19, Leppävaara

Learning outcomes

The student is able to
- explain the principles of qualitative data analysis
- explain the stages in the analytical process
- code and categorize qualitative data
- outline the different approaches of qualitative data analysis

Teaching methods

Content: principles of qualitative data analysis, analysis process, coding, reporting
Implementation method: 3 contact days and individual work

Students must be present in the first contact session or notify the teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrolment will be rejected.

Learning materials and recommended literature

Literature will be discussed in the first contact session. Here are some recommendations:

Alvesson, M., & Kärreman, D. (2011). Qualitative research and theory development. London: Sage Publications.
Berg, B.L. (1989). Qualitative research methods for the social sciences. Massachusetts: Allyn and Bacon.
Bogdan, R., & Taylor, S.J. (1975). Introduction to qualitative research methods. New York: John Wiley & Sons.
Corbin, J., & Strauss, A.L. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory. Los Angeles: Sage.
Dey, I. (1993). Qualitative Data Analysis. London and New York: Routledge.
Eisenhardt, K.M., & Graebner, M.E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25-32.
Eisenhardt, K.M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550.
Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115.
Eskola, J., & Suoranta, J. (2002). Johdatus laadulliseen tutkimukseen. Tampere: Vastapaino.
Glaser, B.G., & Strauss, A.L. (1967). The discovery of grounded theory: Strategies for qualitative research. Chicago: Aldine Publishing Company.
Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. In N.K. Denzin & Y.S. Lincoln (Eds.), Handbook of qualitative research (pp. 105-117). CA: Thousand Oaks.
Josephson, J. (1996). Conceptual analysis of abduction. In J.R. Josephson & S.G. Josephson (Eds.), Abductive inference: Computation, philosophy, technology (pp. 5–30). Cambridge: University Press.
King, N. (1994). The qualitative research interview. In C. Cassell & G. Symon (Eds.), The Qualitative Methods in Organizational Research (pp. 14-36). London: Sage.
Kirk, J., & Miller, M.L. (1986). Reliability and validity in qualitative research. Beverly Hills: Sage.
Krippendorff, K. (2004). Content analysis: An introduction to its methodology (2nd ed.). Thousand Oaks: Sage.
Kvale, S. (2007). Doing interviews. London: Sage.
Kvale, S. (1996). InterViews. An introduction to qualitative research interviewing. London: Sage.
Marton, F. (1986). Phenomenography - A research approach investigating different understandings of reality. Journal of Thought, 21(2), 28-49.
Mäkelä, O. (2015). Integrating business models and knowledge management (Doctoral dissertation). Online available at: http://urn.fi/URN:ISBN:978-952-60-6494-9
Patton, M.Q. (2002). Qualitative Research & Evaluation Methods (3rd ed.). London: Sage.
Silverman, D. (2010). Doing qualitative research (3rd ed.). California: Sage.
Silverman, D. (2006). Interpreting qualitative data: Methods for analysing talk, text and interaction (3rd ed.). London: Sage.
Yin, R.K. (1994). Case study research: Design and methods. Thousand Oaks: Sage.

Further information for students

This study unit is useful for Master students who are using qualitative methods in their theses. Besides the students of the Service Innovation and Design programme, students representing other Master programmes can enroll for the study unit.
Having completed the study unit the student is able to
•explain the principles of qualitative data analysis
•explain the stages in the analytical process
•code and categorize qualitative data
•outline the different approaches of qualitative data analysis

Grading scale

Approved/Failed