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Nick Barter, Angela Victor, Chris Rawson, Christopher Stevenson, and Georgie Lowe

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone interested in research. It may be of particular interest to people who are undertaking a research project related to their profession or area of study. You can use the hashtag #FLexperiencematters to talk about this course on social media.

Topics Covered

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Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone interested in research. It may be of particular interest to people who are undertaking a research project related to their profession or area of study. You can use the hashtag #FLexperiencematters to talk about this course on social media.

Topics Covered

  • How qualitative research helps solve social problems and understand human behaviour.
  • Key assumptions underlying qualitative research methodology.
  • Qualitative research approaches, including ethnography, phenomenology, grounded theory and discourse analysis.
  • Choosing a qualitative research topic.
  • Methods of collecting qualitative data, including interviews, focus groups and observation.
  • Key principles for maintaining integrity with data collection.
  • Qualitative research data analysis methods.
  • Creating a qualitative research planning document.

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Reviews summary

Comprehensive qualitative research foundation

According to learners, this course offers a comprehensive and foundational introduction to qualitative research. Students appreciate its coverage of various methodologies like ethnography, phenomenology, and grounded theory, finding the explanations clear and easy to follow. Many highlight the practical tips on choosing topics, data collection, and analysis methods, which are particularly valuable for those undertaking research projects. While providing a robust theoretical framework, some students note it can be more conceptual than hands-on, suggesting a need for additional in-depth resources or practical exercises to become an expert in a single method.
Well-organized content with clear explanations of complex ideas.
"The explanations were clear and easy to follow."
"The way it breaks down complex qualitative approaches into digestible modules is fantastic."
"A very well-structured course! The course material was clear, and the examples provided were helpful..."
"The discussions on grounded theory and discourse analysis were enlightening, making complex topics accessible."
Offers actionable tips for real-world research projects.
"The practical tips on choosing a topic and data collection were very useful for my ongoing project."
"The section on data analysis was particularly insightful, providing actionable strategies. The course provided a robust framework for approaching my own research planning."
"The segments on interviews and focus groups were invaluable for my work."
"I learned how to use practical tools and strategies that I could apply immediately to my work, such as the research planning document."
Provides a broad and solid introduction to qualitative research.
"This course truly helps you understand why experience matters in research. It breaks down complex qualitative approaches into digestible modules."
"I really benefited from the broad overview of qualitative research methods. It's a strong foundation without being overwhelming."
"Perfect for understanding the core concepts of qualitative research. I feel much more confident in selecting appropriate methods for my research."
"A very well-structured course! It provides a comprehensive understanding of qualitative research, from theory to practical application."
Some felt the pace was rushed or hoped for more interactivity.
"It covers a lot but sometimes felt a bit rushed. I think it tries to cover too much for the format."
"I struggled with the pace and needed to look up additional resources for data analysis techniques."
"I was hoping for more practical exercises to apply the concepts immediately. It's more theoretical than I anticipated."
"The readings were informative, but I felt some topics could benefit from more interactive exercises."
Balances breadth of topics with a need for deeper dives.
"I wished for more in-depth examples or case studies, especially for data analysis, but it's a solid starting point."
"Don't expect to become an expert in any single method. It provides a strong theoretical understanding, but I'll need to do further reading for practical application."
"I felt it was a little light on the actual 'how-to' for some of the more complex analysis methods. It's more conceptual than hands-on."
"This course felt somewhat superficial. It touches on many qualitative methods but doesn't go deep enough into any of them."

Career center

Learners who complete Why Experience Matters: Qualitative Research will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Why Experience Matters: Qualitative Research.
Examining the concepts of being and nothingness, this seminal work explores consciousness, freedom, responsibility, and the existential nature of human existence.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
This comprehensive guide provides a thorough overview of ethnographic research methods, including participant observation, interviewing, and data analysis.
Widely used textbook that provides a comprehensive introduction to the three major approaches to research design: qualitative, quantitative, and mixed methods. It is excellent for gaining a broad understanding and is often used as a foundational text in academic programs. The latest edition includes updates reflecting the 7th edition of the APA Publication Manual, making it a current and valuable reference.
This comprehensive textbook provides a detailed overview of the principles and practices of data collection in the social sciences, covering topics such as research design, sampling, data quality, and ethical considerations. It offers a strong foundation for understanding the entire data collection process.
Classic guide to the research process, focusing on formulating research questions, developing arguments, and communicating findings effectively. It is highly recommended for students at all levels who are learning how to approach and structure a research project. It is particularly useful for solidifying an understanding of the fundamental principles of research.
A practical guide to coding qualitative data, this book provides detailed instructions and examples for various coding methods. It is an essential tool for anyone undertaking qualitative data analysis, from beginners to experienced researchers. It helps solidify understanding of a crucial step in qualitative research.
Provides a comprehensive overview of qualitative research in business and management. It covers a wide range of topics, from theory to methods to analysis. It valuable resource for researchers who are interested in conducting qualitative research in business and management.
Provides a comprehensive overview of ethnographic research, a qualitative research method that is used to study culture and social life. It valuable resource for researchers who are interested in conducting ethnographic research.
Provides a detailed guide to case study research, a qualitative research method that is used to study complex social phenomena. It valuable resource for researchers who are interested in conducting case study research.
Provides a practical guide to participatory action research, a qualitative research method that is used to involve community members in the research process. It valuable resource for researchers who are interested in conducting participatory action research.
Provides a practical guide to qualitative research in education. It covers a wide range of topics, from theory to methods to analysis. It valuable resource for researchers who are interested in conducting qualitative research in education.
Provides a clear and concise overview of five different qualitative research approaches: narrative, phenomenology, grounded theory, ethnography, and case study. It helpful resource for researchers who are trying to decide which approach is best suited for their study.
Provides a comprehensive overview of qualitative research in psychology. It covers a wide range of topics, from theory to methods to analysis. It valuable resource for researchers who are interested in conducting qualitative research in psychology.
This sourcebook detailed guide for analyzing qualitative data. It offers a wide range of methods and techniques, making it a valuable reference for students and researchers undertaking qualitative studies. The fourth edition includes new visual display models and updated content, ensuring its relevance for contemporary research.
This practical guide to data collection methods helps researchers design and implement effective studies, encompassing a wide range of techniques, including surveys, interviews, observations, and archival research. It provides clear and detailed instructions for each method and emphasizes the importance of reliability and validity.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
A comprehensive guide to mixed methods research, this book covers the design, implementation, and analysis of studies that combine qualitative and quantitative approaches. It is essential for researchers interested in this growing area of research methodology and provides detailed guidance.
This online textbook and accompanying website provide a comprehensive overview of research methods concepts and procedures. It widely used resource for learning and teaching research methods, offering clear explanations and interactive exercises. It good resource for both foundational knowledge and review.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
A definitive guide to conducting case study research, this book covers the design, collection, and analysis of case study data. It is essential for researchers utilizing this specific qualitative approach and provides in-depth knowledge for mastering the method.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Focuses on longitudinal data analysis, which involves collecting and analyzing data over time. It covers techniques such as generalized linear mixed models and structural equation modeling, providing a valuable resource for researchers working with longitudinal datasets.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Provides practical guidance on conducting survey research, covering questionnaire design, sampling, data collection, and analysis. It valuable resource for those focusing on quantitative methods, particularly in social sciences and market research. It helps deepen understanding of a specific research methodology.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Offers a step-by-step guide to conducting a research project, covering all stages from planning to writing up findings. It is particularly helpful for undergraduate and postgraduate students undertaking their first research project, providing practical advice and avoiding common mistakes.
This introductory textbook provides an accessible entry point into qualitative research, focusing on analyzing life experiences. It is suitable for beginners and those seeking a more narrative approach to qualitative inquiry.
A practical guide to recording and analyzing ethnographic observations, with advice on note-taking strategies, ethical considerations, and data management.
Provides a comprehensive overview of the use of discourse analysis in social research, covering a wide range of topics, including the different approaches to discourse analysis, the methods used in discourse analysis, and the applications of discourse analysis in social research. It valuable resource for students and researchers who are interested in using discourse analysis in their research.
This textbook offers a comprehensive introduction to survey research, covering the entire process from research design to data analysis. It provides theoretical foundations, practical guidance, and real-world examples, helping students understand the strengths and limitations of survey methods.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
Considered a classic in qualitative research, this book introduces the principles and practices of naturalistic inquiry. It foundational text for understanding the philosophical underpinnings of qualitative research. It is more theoretical and suitable for graduate-level study and beyond.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
Explores the world of prediction and forecasting across various fields, demonstrating how data analysis and statistical modeling are used in practice. It's particularly engaging for undergraduate and graduate students interested in the application of data analysis in real-world scenarios. It adds breadth by showcasing diverse applications and the challenges involved in making accurate predictions.
Provides an introduction to research methods specifically within the field of sociology. It covers a range of methods and their application in sociological research, making it relevant for students in this discipline. It helps provide context for research methods within a specific social science.
Provides a high-level overview of the data science process, from asking questions to interpreting results. It focuses on the principles and concepts rather than specific tools, making it suitable for a broad audience. It helps in gaining a broad understanding of the data analysis workflow.
This introductory text provides a clear and accessible overview of data collection and analysis principles. It covers fundamental concepts such as data types, sampling techniques, data cleaning, and statistical analysis, making it suitable for beginners in data science and related fields.
A seminal work on information design and data visualization. While not specific to data analysis techniques, its principles are fundamental for effectively presenting data. It's a classic that influences how we think about visual communication of quantitative information.

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