• 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

Upon completion of the course, participants will acquire knowledge and proficiency in the following areas:

·         Definition and understanding of GIS, spatial data, and raster and vector data models.

·         Apply practical skills in utilising ESRI ArcGIS Pro (2D) software package (working mostly in Map and Catalog Pane).

·         Visualization techniques for data representation.

·         Handling of tables, encompassing selections and queries.

·         Creation and editing of spatial data.

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?

This one-day course is designed to introduce participants to the exciting world of mixed reality research and data collection

Venue/Time:  Stag Hill Campus  9.00am - 5.00pm

Fees:

UGPN Staff discount £132

UGPN Student discount £98

Students £130

Education and charitable sector applicants £155

Government and commercial sector applicants £230

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

·    The nature and processes of ethical review

Ethical issues in sampling and recruitment

Consent: capacity and vulnerability

What does good participant information look like?

Ethical and secure data handling

Risk assessment and risk mitigation

Ethical research practice beyond ethical review

·   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.

• user experiences of digital technologies and platforms
• qualitative research with users
• users, non-users and diversities of use
• case studies of digital user research
• ethics of researching digital media users
• analysing data on user experiences

• Understand broad methodological traditions in qualitative text analysis
• Have an overview of the range of digital tools designed to facilitate qualitative text analysis and their methodological underpinnings
• Understand the importance of analytic planning in harnessing digital tools for qualitative text analysis
• Understand how digital tools can facilitate core analytic activities involved in undertaking qualitative text analysis
• 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