• The nature of qualitative data and creative approaches to collection
• Object interviewing as a method for delving deeper
• Elites: Techniques for working with powerful and busy participants
• Data collection on the go: avoiding injury and gaining multiple data types
• Practical exercises in pairs and small groups
• Final reflections, trouble shooting and ongoing sources of support

·

• Tips for literature import and organisation
• Exploration and familiarisation tools
• Coding strategies – inductive, deductive approaches; manual, search-based, and generative-AI approaches.
• Organising materials to factual characteristics such as date of publication, country in which study took place etc  to facilitate interrogation.
• Use of writing and visualisation tools to capture reflections on literature over time
• Querying across articles to facilitate synthesizing and outputting

·       To understand the importance of arts- based methods in qualitative methodology.

·      To identify the benefits and challenges in using arts to explore the social world.

·      To discuss the practical and ethical considerations in collating data when using arts as a method.

·      To explore the analytical tools used in arts-based methods.

• Understand technical developments in the field of qualitative analysis
• Have an overview of the range of digital tools designed to facilitate qualitative text analysis that utilise AI capabilities
• Understand the range of AI tools for qualitative analysis, how they are developed and how they work
• Understand the importance of analytic planning in harnessing digital tools for qualitative text analysis
• Understand when the use of AI for qualitative analysis may be appropriate, and when it is not
• Understand the principles of making appropriate choices between digital tools for analytic purposes
• Know where to access relevant resources to support continued use of digital tools for qualitative text analysis

This course has a dual aim: a) to provide an overview on discourse analysis as a qualitative method in the service of analysing qualitative data (discourse) and b) to focus on using discourse analysis in practice. The course is focused on the analysis of discourse and also on the reasons for opting for discursive approaches while considering the assumptions they entail.

The course will cover the following broad topics:

·         Discourse: what is it?

·         Discourse and construction

·         Discursive turn – main principles

·         Strands in discourse analysis

·         Analytic process(es) & procedure(s)

·

• Introduction to MAXQDA’s components
• Tips for data preparation, transcription, import and organisation
• Data exploration and familiarisation, including AI-assisted summaries and AI-assisted Chat with Documents.
• Coding strategies – inductive, deductive approaches; manual and automated approaches; including AI assisted coding.
• Organising materials to factual characteristics such as socio-demographics (variables) to facilitate interrogation.
• Use of writing and visualisation tools to reflect on data and processes
• Querying and outputting

NVivo is a powerful software for the qualitative and mixed-methods analysis of text, audio, video, survey and social media data.

This  two day course provides a comprehensive overview of NVivo and an opportunity for participants to practice tasks using their own data.

What is participatory research?

What can different participatory approaches offer?

What are the ethical and practical considerations of participatory research?

How does this relate to my work?

Mobile interviews represent a useful tool for investigating people’s relationship with space and allows the researcher to explore issues within the context they occur. The researcher can use the environment as a prompt to discussion and the respondents can use it as an aid to illustrate the points they want to get across.  This course is designed primarily for researchers with some previous experience of qualitative interviewing who want to start using mobile methods. 

• Know how to move on beyond initial tasks
• Know how to use the software to accomplish analytic tasks
• Know where to access relevant resources to support continued NVivo use

·   To explore the various ways in which researchers can use qualitative methods to discuss sensitive topics and issues with participants 

·   To identify the opportunities and challenges in using qualitative methods to explore sensitive issues with research participants, with practical solutions to overcome challenges. 

·    To understand the practical and ethical considerations in research design.