*Aalborg University*
Course description, incl. learning objectives and prerequisites:
This four-day Ph.D. course provides participants with an introduction to the steps, processes and reflections involved in analysing qualitative data in particular interviews, including working with concrete data. The course is interdisciplinary, and we invite students from different disciples to join the course.
The main learning objectives for the course are that the participants gain theoretical and practical knowledge on how to analyze data from qualitative interviews and other types of qualitative data. This includes understanding ontological, epistemological and methodological assumptions in qualitative research and why they are important. The main focus of the course is the particiapants’ development of concrete tools for reflective thinking and practice on how to analyze data from qualitative interviews and other types of qualitative data. During the course we will narrow ourselves to focusing in detail on two approaches; 1) Reflective Thematic Analysis by Braun and Clarke (2006, 2013, 2022), and 2) Narrative Identity Analysis, e.g. Discourse Analysis and Positioning Analysis from the approaches developed by for instance Michael Bamberg (De Fina et al., 2006; Bamberg et al., 2011) & Davies & Harré (1990).
As highlighted by the title this course is mainly about HOW to work with interview data and preferably with the participants’ own data from qualitative interviews or/and data provided by the course holders (English and Danish data). The course is held in English and participants are invited to bring data in any language, but if the language is not Danish, Scandinavian, English or Spanish the students will be expected to be fully proficient in the respective language.
The course is split into two blocks and students are expected to work independently with peers in the time period between the two blocks.
Tentative course description:
The course consists of two teaching blocks of respectively two full course days.
Block I:
Day 1: Introduction, lectures, group work 1 & 2, discussion
Day 2: Lectures, group work 3 & 4, panel discussion and how to prepare for block II of the course, evaluation of block I
Block II:
Day 1: Introduction, lectures, presentations, group work 5, discussion
Day 2: Lectures, presentations, group work 6 + 7, discussion and wrap up
Teaching methods:
The teaching methods of the course will be Problem-Based-Learning including a mixture of lectures, group work, peer comments, group discussions, and comments and feed-back on individual papers and research projects.
Description of paper requirements:
The students are required to present a short paper describing their own Ph.D. project, and focusing on data generation and analyses. The procedure for this will take place in two steps:
1) On application to the course the student is required to send a one to two-page abstract describing her/his Ph.D. project, the stage of the project, the design/methods, and e.g. the amount of interview data expected available at the time of the course. The application should also include a short and tentative description of the stage of data analyses that the student expects to have reached when the course starts (e.g. development of research question/interview topics, pilot interview, transcription, initial data analysis etc.) and the students expectations for the course.After completion of the first block of the course the students will be required to continue elaborating on her/his data analyses and to write up a 5–7-page paper describing the data analysis procedure which has been applied (codes etc.) and tentative suggestions for themes (results). This work should be sent to the course teachers one week before the second block (25th, November). The students will receive individual feedback during the second block. The students will also work in designated groups during the periode between block I and block II and prepare short presentations during the course.Organizer: Kristine Jensen de López, Chalotte Glintborg.
Lecturers:
Chalotte GlintborgKristine Jensen de López
ECTS: 4
Time:
Block 1: October 8-9, 2024 (in Aalborg) Block 2: December 2-3, 2024 (in Aalborg)Place: TBA
Zip code: 9000
City: Aalborg
Number of seats: 20 (minimum 10)
Deadline: 17 September 2024
Key literature:
Bamberg, M. (Eds.), Discourse and identity (pp. 1–23). Cambridge, UK: Cambridge University Press
Bamberg, M., De Fina, A. & Schiffrin, D. (2011). Discourse and identity construction. In. S. J.
Schwartz et al. (Eds.). Handbook of Identity Theory and Research, (pp. 1-23).
Bamberg, M & Georgakopoulou, A. (2008). Small stories as a new perspective in narrative and
identity analysis In: Text & Talk – An Interdisciplinary Journal of Language, Discourse & Communication Studies, 28, 3, 377-396.
Braun, V. & Clarke, V (2006), Using thematic analysis in psychology. Qualitative Research in Psychology(vol. 3, 2, 77-101 doi/abs/10.1191/1478088706qp063oa
Braun, V. & Clarke, V. (2014). Successful qualitative research: A practical guide for beginners. London: Sage.
Braun, V. & Clarke, V. (2016) (Mis)conceptualizing themes, thematic analysis, and other problems with
Fugard and Potts´(2015) sample-size tool for thematic analysis. International Journal of Social Research Methodology, Vol 19(6), 739-743.
Braun, V. & Clarke, V. (2019). To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales, Qualitative Research in Sport, Exercise and Health. DOI: 10.1080/2159676X.2019.1704846
Braun, V., Clarke, V. & Hayfield, N. (2019). ´A starting point for your journey, not a map´: Nikki Hayfield in conversation with Virginia Braun and Victoria Clarke about thematic analysis. Qualitative Research in Psychology, 1-22, doi:10.1080/14780887.2019.1670765.
Braun, V. & Clarke, V. (2020). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, DOI: 10.1080/14780887.2020.1769238
Braun, V. & Clarke, V. (2021). Thematic Analysis: A Practical Guide. Sage Publications Ltd, London
Davies, B., & Harré, R. (1990). Positioning: The discursive production of selves. Journal for the
Theory of Social Behavior, 20(1), 43–63.
De Fina, A., Schiffrin, D., & Bamberg, M. (2006). Introduction. In A. De Fina, D. Schiffrin, & Bamberg (eds.) Discourse and Identity. Cambridge: Cambridge University Press.
Glintborg, C. & Berger, N.P. (2018) Narrative forskningstilgange, p. 14-27. I Glintborg, C., Hedegaard-Sørensen, L. & Kirkebæk, B. (red). Professionelle blikke. Når fortællinger forandrer identitet. Frydenlund Academic.
Jensen de López, K. & Lyons, R. (2020). Narratives and identity construction of children with developmental speech and language disorders. In Glintborg, C.C. & de la Mata, M. (eds) Identity Construction and Illness in persons with disabilities. Routledge, p. 104-114.
Jensen de López, K., Feilberg, J.,Baena, S., Lyons, R., Harding, S., Kelic, M., Klatte, I., Mantel, T. C., Novogrodsky, R., Ulfsdottir, T.S., Zajdó, K, Rodriguez-Ortiz, I. R. (2021). `So, I told him to look for friends!`Barrries and protecting factors that may facilitate inclusion for children with Language Disorder in everyday social settings: cross-cultural qualitative interviews with parents. Research in Developmental Disabilities, Special Issue on Parental Involvement across cultures.
Lyon, R., Glintborg, C., & McAllister, L. (2019). Narrative inquiry and its use in communication disorders research. In R. Lyons & L. McAlister (Eds.) Qualitative research in communication disorders: An Introductory Guide for Students and Clinicians. Guildford, UK: J & R Press.
Important information concerning PhD courses: We have over some time experienced problems with no-shows for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.
For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk
Application date: September 17, 2024