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Analysis of Qualitative Data - Online

Analysis of Qualitative Data - Online
This live online course (over three days) is designed to equip participants with a clear understanding of the principles of high quality data analysis. (NatCen trainers) * This course runs over three consecutive mornings and uses Zoom software *

Introduction/Overview

This three day course is designed to equip participants with a clear understanding of the principles and practice of high quality, rigorous qualitative data analysis. The course primarily focuses on ‘Framework’, an approach to qualitative data management developed at NatCen, and how this approach can be used to conduct descriptive and explanatory qualitative data analysis. The course will be delivered through a mixture of taught sessions and practical exercises.

 

Objectives

 

By the end of the workshop, participants will:

  • be able to recognise different approaches to qualitative data analysis (QDA)
  • be able to describe key stages in the analytical process in qualitative research
  • be able to describe and use the ‘Framework’ approach to data management
  • have gained experience of interpreting qualitative data from analytical charts
  • be able to describe the factors which can affect the generalisability of qualitative data
  • be able to evaluate the quality of qualitative analysis presented to them

 

Topics

 

The key stages and objectives of the analytical process in qualitative research

  • Overview of the range of approaches to QDA
  • The qualitative analytical hierarchy
  • Tools for qualitative data management
  • Using Framework for data management
  • Developing the conceptual framework for analysis
  • Descriptive analysis for qualitative data
  • Introducing typologies in qualitative research
  • The nature of linkage and explanations in qualitative data
  •  Searching for linkages and explanations
  • Drawing wider inference from qualitative data

 

Who will benefit?

 

This course will be useful to you if you:

  • are an experienced qualitative researcher who wants to learn new skills in qualitative data analysis or to broaden and refresh your existing skills
  • are experienced in other aspects of qualitative research but are new to the analysis of qualitative data
  • commission or manage qualitative research in central or local government, health or other applied policy sectors and need to understand the qualitative data analysis process

 

Course tutors

 

Mehul Kotecha joined the NatCen Social Research as a Senior Researcher in March 2008. He has led on a number of qualitative studies including evaluations of back to work programmes (e.g. process evaluation of the Support for the Very Long-Term Unemployed Trailblazer programme), research into financial and material circumstances in old age (e.g. exploring the relationship between material deprivation and pensioner poverty and a study which explored older people's attitudes towards the principle of automatic awards of Pension Credit), and research into education and skills (e.g. a study exploring motivations and barriers to part-time post-16 education). Prior to this, Mehul was a Research Fellow at the Institute of Primary Care and Public Health, based at London South Bank University - where he also received his doctorate in sociology.

Jane Kerr is a Senior Researcher in NatCen's Crime and Justice team, where she specialises in carrying out qualitative research with victims, offenders and criminal justice professionals. She also has expertise in research on gambling behaviour and money management. Before joining NatCen in 2003, Jane read Human Communication at Manchester University before completing a MA in Social Anthropology at Durham University.

 

Course fee payable to SRA.

 

  This course contributes 6 hours to the MRS CPD programme

 

n.b. This course runs over three consecutive mornings:

Part 1 - 28 September - 10.00 am to 3.00 pm

Part 2 - 29 September - 10.00 am to 3.00 pm

Part 3 - 30 September - 10.00 am to 3.00 pm

When
9/28/2020 10:00 AM - 9/30/2020 3:00 PM
GMT Standard Time
Where
ONLINE ONLINE UNITED KINGDOM
This event is full.

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