Qualitative Research: Doing Constructionist Data Analysis: Online (2 days)

Qualitative researchers too often try to do the same as quantitative research but with smaller samples.

 

This interactive master-class offers early career researchers guidance on how to use the latest constructionist approaches which treat our data as instances of complex behaviours and hence complementary to quantitative research.

 

 

This course is now being offered online (via zoom) across 4 evening sessions from 7pm to 9.30pm, AEDT (Australian Eastern Daylight Time). 

See the syllabus below for details.

 
Master Class - runs over 4 days
Course dates: Tuesday 20 October 2020 - Friday 23 October 2020
Instructor: 

Prof David Silverman is an outstanding scholar specialising in qualitative research. David is Professor Emeritus in the Sociology Department at Goldsmiths College and Visiting Professor in the Management Department at King's College, University of London and the Business School, University of Technology, Sydney. He has authored 15 books and 45 journal articles on qualitative research, ethnography and conversation analysis. He is the author of four bestselling Sage textbooks on qualitative research and has published monographs on his research on a large public sector organization, medical consultations and HIV-test counselling. Prof Silverman has hosted workshops on qualitative research for PhD students in Australia since 2009 as well as in Europe, Sri Lanka, Hong Kong, Malaysia and Tanzania. He successfully supervised 30 PhD students, three of whom are now full Professors.

Venue: 
Online
Week: 
Week 1
About this course: 

This master-class offers lectures and data workshops covering the latest approaches to key areas of qualitative research:

 

    • Improving the quality of interview data analysis. Treating respondents’ accounts as skilful versions of reality. Attending to the step by step production of meaning between interviewer and interviewee.
    • Finding sequences in your data.  The limits of content and thematic analysis. Finding outcomes in data and tracing the sequences in which they are produced.
    • Documents and digital data as social constructions. How to avoid treating them as ‘secondary data’ and tracing the narratives they construct.
    • Theorising with qualitative data. Avoiding armchair theorising and theory used as ‘window dressing’. How to induce theories from your data.

 

The workshop is relevant to both early career researchers and more experienced researchers interested in constructionist approaches who want to improve their research skills.

 

Course syllabus: 

The workshop will consist of 4.5 hours of lectures, 3 data workshops and 15 minute one-to-one supervisions.

 

All sessions will run between 7pm and 9.30pm AEDT

 

EVENING 1

7.00 - Introductory lecture
7.45 - Improving the quality of interview data analysis [lecture]
8.45 - 9.30 - Student data sessions with simultaneous 1-1s

 

EVENING 2

7.00 - Feedback from data sessions
7.30 - Finding sequences in your data [lecture]
8.45 - 9.30 - Student data sessions with simultaneous 1-1s
 

 

EVENING 3

7.00 - Feedback from data sessions
7.30 - Analysing documents and digital data [lecture]
8.45 - 9.30 - Student data sessions with simultaneous 1-1s

 

EVENING 4
7.00 - Feedback from data sessions
7.30 - Theorising with qualitative data [lecture]
8.45 - 9.30 - Open discussion

 

 

Course format: 

This workshop will take place online via zoom.

You will be sent a zoom code prior to the start of the course.

Participants will be sent a hard copy set of course notes including, papers to read, as well as further course documents including workshop topics.

Recommended Background: 

A basic knowledge of qualitative research.

Recommended Texts: 

Any of Silverman’s current Sage textbooks.

Interpreting Qualitative Data [sixth edition] or, for more advanced researchers, his Very Short Book [second edition].

Course fees
Early bird Member: 
$1,160
Early bird Non Member: 
$1,980
Early bird full time student Member: 
$720
Member: 
$1,480
Non Member: 
$2,280
Full time student Member: 
$1,280