Semester 2 (Week 2)
Theses are the notes I took during the Tuesday afternoon workshop that took place from 14:00 to 17:00 on 6th March 2018. The tutors were Dr Claire McAvinia and Dr Ita Kennelly.
Topics for today’s workshop
– Interpreting Qualitative Data
– Writing and Presenting your Findings
From Analysis to Interpretation
Is there a difference between analysis and interpretation of data?
It is useful to understand that these are separate but interconnected processes.
Recap – Quantitative Data Analysis
Bar Charts, Pie Charts
Mean, Mode, Median
Be very careful about causal versus correlation.
Recap – Qualitative Data Analysis
The analysis process begins with reading all the data at once and then dividing the data into smaller, more meaningful units.
Become familiar with the data and identifying potential themes
– reading, memoing
Examine the data in depth to provide descriptions of the setting, participant and activity (describing)
Think about granularity:
– code pieces of data and group them into themes?
– look for major themes only
Recap – suggested steps
Strategies used to interpret qualitative data
(1) Identify themes
(2) Code your data
(3) Ask key questions
(4) Do an organisational review
(5) Do concept mapping
(6) Analyse antecedents and consequences
(7) Display findings
(8) Be honest – state what’s missing
5,000 to 7,000 words.
Note: Make sure you have decided on your journal by 1st May 2018.
Reliability relates to the consistency and trustworthiness of research findings.
– applies to all stages of the research design, not just data analysis
– what checks were employed?
Finished studies: is the work replicable/reproducible by others?
‘One has to ensure the research problem, research methods and statistical analyses are in alignment.’ (Brown & Edmunds, p.13).
Strategies for Data Interpretation
Question your study
Connect findings with personal experiences
Seek advice from “critical friends” if possible
But also contextualise findings in the literature
Turn to theory as a means to: link to broader issues, move away from a purely descriptive account, and providing a rationale for your work.
Know when to offer an interpretation from the data
Note: It is rare for qualitative researchers to use all of their data for the task is to identify important themes or meanings, not necessarily inclusi
N.B. Braun & Clarke: paper on thematic analysis.
Braun, V. and Clarke, V. (2006) Using thematic analysis in psychology. Qualitative Research in Psychology, 3 (2). pp. 77-101. ISSN 1478-0887
Persuasiveness is strengthened when the investigator’s theoretical claims are supported with evidence from informants’ accounts, negative cases are included, and alternative interpretations considered.
(Riessman cited in Silverman)
Evaluating the credibility of research (Silverman 2006, p.276)
(1) Are the methods of research appropriate to the nature of the question being asked?
(2) Is the connection to an existing body of knowledge or theory clear?
(3) Are their clear accounts of the criteria used for the selection of cases for study, and of the data collection and analysis?
(4) Does the sensitivity of the methods match the needs of the research question?
Writing and presenting your findings
Can you present all your findings?
Do you need to present all your findings?
– if so, how will you do that in an accessible way for your reader
– if not, how will you select which findings to present
What is the purpose of the discussion?
To return to your research question:
– To what extent do your findings address the question?
– Do you have an answer for your question?
Some issues with discussions sections:
– Context: not linking back to literature
Note: app for transcription.