An introduction to the range of approaches used in rapid qualitative research including rapid appraisals, rapid ethnographic assessments (REAs), rapid qualitative inquiry (RQI), rapid evaluations and rapid ethnographies. Course participants will work with real research cases and design their own rapid study. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola. 

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This course provides an introduction to a wide range of approaches used in the design and implementation of rapid qualitative evaluations. It provides an overview of rapid evaluation approaches, including rapid evaluation methods (REM), rapid feedback evaluations (RFE), rapid cycle evaluations (RCE) and rapid appraisals (RA). It also discusses the contributions and limitations of rapid evaluations, identifying instances when are these approaches suitable. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola.

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This course provides an introduction to a wide range of approaches used in rapid research with a focus on rapid ethnography. The course provides an overview of rapid ethnographies conducted as a “lone researcher” or as part of a team and includes examples of quick, short-term, focused and rapid ethnographies. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola. 

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This course introduces attendees to RREAL's approach for the analysis of large qualitative datasets: Collaborative and Digital Analysis of Big Qualitative Data. The course is delivered by Dr Norha Vera San Juan and Dr Sam Martin.

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RREAL’s model for patient and public involvement and engagement (PPIE) in rapid research and evaluation. Delivered by Dr Norha Vera San Juan and Katie Gilchrist.

Rapid qualitative studies often require an initial period of data collection or review of existing evidence to inform the study design and its scope. This initial period is commonly referred to as a “scoping study”. In this short course, we will briefly describe the benefits and key features of scoping studies carried out in the context of rapid research. We will discuss different types of scoping activities such as: rapid literature reviews or evidence syntheses, informal conversations with stakeholders, observations, documentary analysis and scoping workshops. We will use real world examples to demonstrate how these scoping activities can be used to inform the research questions, scope and dissemination plan of the study. We will also show examples of how we have used scoping studies to co-design rapid qualitative research with stakeholders. This course is suggested for participants with previous rapid qualitative research experience or those who have already attended our introductory courses. The course is delivered by Prof Vindrola and Dr Iqbal. 

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This course covers techniques used to rapidly analyse qualitative data. We begin with a brief overview of the iterative nature of rapid qualitative research and the analysis of data as data collection is ongoing. We also discuss strategies that are commonly used to bypass or speed up transcription and the adaptation of data analysis methods for rapid study timeframes (i.e. rapid content analysis, table-based methods, text network analysis). This course is suggested for participants with previous rapid qualitative research experience or those who have already attended our introductory courses. The course is delivered by Dr Norha Vera San Juan. 

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Introduction to big qualitative data methods. An introduction to the analysis of using big qualitative data methods to analyse social media data for public health research including: analysis of Facebook, Twitter (hashtags and emojis), Instagram and YouTube data (transcripts and comments). It also discusses considerations of ethics, data anonymisation, and how tag social media data for more in-depth iterative qualitative analysis of sample data. Examples of topics/datasets are social media discussions regarding vaccine hesitancy, Long Covid, and patient safety. Delivered by Dr Sam Martin. 

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Intermediate big qualitative data methods. This course focuses on the sentiment, discourse analysis and visualisation stage of big qualitative methods in research. It covers strategies to create context specific sentiment analysis frameworks, and understanding of co-occurrence cluster and hashtag analysis, and a step-by-step guide of how to visualise big qualitative research data for publication. This course is suggested for participants with previous big qualitative data research experience or those who have already attended our introductory big qualitative data courses. Delivered by Dr Sam Martin 

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An introduction to RREAL Sheets used in rapid qualitative research methods to collect and synthesise data as these are being collected. In this one-hour course, participants will work with real research cases to develop their own RREAL sheet. They will learn the different stages of design, use and frequent adaptations. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola.

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