This course is split into two sessions :

Wed 15 Jan : 13.00-16.30 GMT / 08.00-11.30 EDT
Thu 16 Jan : 13.00 -16.30 GMT / 08.00-11.30 EDT

Join us to discuss all things qualitative data analysis

Learning objectives

By the end of the course, participants will be able to:

Develop appropriate research questions;
Focus a literature review to ensure it is efficient and effective;
Understand the range of qualitative methodologies and their underlying assumptions;
Make appropriate choices between methodologies, data collection strategies and analytic methods
Identify the audiences of their work and frame their dissemination accordingly.

Who is this course for?

This course is designed for postgraduate students and early career researchers in any discipline who are new to working with qualitative data (e.g. literature and documents, transcripts of interviews and focus groups, visual materials, social media and online content, open-ended survey responses etc.)

Course overview and aims

This course provides a thorough overview of the principles and practices of undertaking qualitative data analysis. Framed around the research cycle, we discuss and illustrate the interrelated activities undertaken as analysis progresses – from the paradigms and assumptions that underlie qualitative projects, through the practicalities of planning and implementing an analysis, to writing up, visualising and sharing findings. The aim of this course is to open up thinking about the range and flexibility of qualitative data analysis approaches and to equip participants with the necessary mindsets and frameworks to plan and undertake their own projects. The course is led by two facilitators and the number of participants is limited to ensure everyone has the opportunity to discuss their work-in-progress.

Topics

The qualitative research cycle – planning and managing the iterative and cyclical nature of qualitative research
Research in the wider landscape – research topics and objectives, reviewing the state of the art, developing research questions
The role of methodology – underlying paradigms and assumptions, differences between methodologies and methods
The ethics of working qualitatively – considerations for involving participants and representing their contributions
From methodology to data collection – types of qualitative data, ways of collecting qualitative data, integrating different types of data in an analysis
Analytic activities – integrate, organise, explore, reflect, interrogate
Qualitative analytic strategies – qualitative approaches, mixed-methods analysis and quantifying qualitative data, focusing on the examples of Grounded theory, Content Analysis, Thematic Analysis, Discourse Analysis, Action Research
Analysis exercise – small groups collaboratively analyse sample qualitative data using different strategies and compare and discuss their findings
Collating insights and presenting a narrative – sharing findings with different audiences

Principles and Practices of Qualitative Data Analysis

Follow this organiser to stay informed on future events

Events you might like

Principles and Practices of Quantitative Data Collection and AnalysisPrinciples and Practices of Quantitative Data Collection and Analysis

Principles and Practices in Traffic ManagementPrinciples and Practices in Traffic Management

HACCP Principles and PracticesHACCP Principles and Practices

Principles and Practices of Quantitative Data Collection and Analysis

Principles and Practices in Traffic Management

HACCP Principles and Practices