This module explores the ethical considerations involved in conducting research interviews and how these responsibilities extend throughout the interview process. You will examine key ethical issues that can arise before, during, and after interviews, and learn practical strategies for protecting participants, maintaining ethical standards, and conducting interview-based research responsibly and professionally.

This module focuses on designing effective interview questions that encourage participants to share meaningful and relevant information. You will learn how to create clear, accessible, and purposeful questions, understand common pitfalls in question design, and develop techniques for evaluating and improving the quality of your interview schedules to support rich and reliable research data.

This module explores the practical aspects of planning and conducting research interviews. You will learn how to recruit suitable participants, select appropriate interview settings, and choose effective methods for recording and capturing data. By developing a structured interview plan and considering key logistical decisions, you will be better prepared to collect high-quality interview data that supports your research objectives.

This module prepares you to conduct effective research interviews with confidence. You will learn practical techniques for managing interviews professionally, building rapport with participants, and creating a positive interview experience that encourages meaningful responses. The module also explores strategies for supporting and caring for interviewees throughout the interview process, helping you collect rich, high-quality data while maintaining ethical and respectful research practices.

This module focuses on the important steps that follow the completion of a research interview. You will learn how to manage and protect interview data responsibly, reflect on your own wellbeing as a researcher, and develop practical plans for responding to unexpected challenges. By adopting good post-interview practices, you can safeguard both yourself and your data while ensuring your research remains ethical, organized, and resilient.

This module introduces the first stage of qualitative data analysis: becoming familiar with your data. You will learn how to work systematically with interview and focus group transcripts, develop a deeper understanding of your dataset, and reflect on the influence of your own perspectives and assumptions. By engaging closely with your data and recognizing potential biases, you will build a strong foundation for rigorous and insightful qualitative analysis.

This module introduces coding frames as a systematic way to organize and analyze qualitative data. You will learn how to develop, test, and refine a coding frame, and apply it to interview or focus group transcripts to identify meaningful patterns and themes. By structuring your data in a consistent and rigorous way, you will build a strong foundation for deeper qualitative analysis and interpretation.

This module introduces emergent coding as an exploratory approach to qualitative data analysis. You will learn how to identify and develop codes directly from your data, allowing patterns, concepts, and themes to emerge naturally rather than relying on a predefined framework. The module also explores how software can support the coding process, helping you organize, analyze, and interpret qualitative data in a systematic and insightful way.

This module explores how qualitative data analysis software can support and streamline the coding process. You will be introduced to tools such as Delve and NVivo, learning how they can help organize, code, and evaluate transcribed data more efficiently. By understanding the strengths and practical applications of these platforms, you will be better equipped to select and use software to enhance your qualitative data analysis workflow.

This module focuses on turning coded qualitative data into meaningful findings and communicating those findings effectively. You will learn how to move from codes to categories and themes, develop deeper interpretations of your data, and understand the relationship between analysis and writing. The module also explores how the writing process can support qualitative analysis and help you present clear, evidence-based findings in your research project or assignment.

In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.