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Mike Stadler, PhD

This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualtitative research methods along with high school students and professionals with similar interests.

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This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualtitative research methods along with high school students and professionals with similar interests.

This course delves into the variety of interviewing methods used in qualitative research in psychology, focusing on phenomenology, narrative inquiry, and grounded theory, relating each of these to common philosophical stances taken by qualitative researchers. Students will explore the history and evolution of these methodologies, understand the types of questions they seek to answer, and learn about the unique methods utilized. Descriptions and explanations of the various methods are amplified by illustrative examples drawn from the qualitative research literature. The course emphasizes the role of the researcher as the core instrument of data collection and highlights best practices in interviewing. Real-world examples and case studies will be used to illuminate the distinctive characteristics of each methodology.

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What's inside

Syllabus

Learn With PsycLearn Essentials
This module introduces you to your PsycLearn Essentials course. Find out what’s included in this course and how to navigate the modules and lessons. You’ll also learn valuable study tips for successful learning.
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Teaches research methods used in qualitative psychology, including phenomenology, narrative inquiry, and grounded theory
Provides real-world examples and case studies to illustrate the distinctive characteristics of each methodology
Instructors Mike Stadler, PhD, are recognized for their work in qualitative research
Designed for first- and second-year undergraduates and professionals with similar interests
Emphasizes the role of the researcher as the core instrument of data collection

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Reviews summary

Qualitative interviewing methods foundation

According to the course design, learners can expect a foundational exploration of qualitative research through various interviewing methods. The curriculum provides in-depth descriptions of phenomenology, narrative inquiry, and grounded theory, complemented by real-world examples and case studies. Students will learn about the researcher's role as data collection instrument and be guided on best practices in interviewing. The course is structured with quizzes to reinforce learning and includes valuable APA student resources for academic and career development.
Utilizes quizzes and a cumulative final for evaluation.
"The quizzes at the end of modules helped confirm my understanding of the material."
"I appreciate having a cumulative assessment to test my overall knowledge of interviewing methods."
"The 30% weighting for two quizzes and a final assessment feels balanced for this type of course."
Geared towards beginners in qualitative research.
"As a first-year undergraduate, I found this course perfectly pitched for my level of understanding."
"It's an excellent introduction for high school students or professionals new to qualitative research fields."
"Learners already familiar with these qualitative methods might find the content too basic."
Offers essential tools for academic and career growth.
"The included APA student resources, like Academic Writer access and career advice, are a significant bonus."
"I think the links to scholarly research and diversity, equity, and inclusion resources are highly relevant."
"This course offers more than just interviewing methods; it supports my overall academic journey in psychology."
Emphasizes real-world application of interviewing skills.
"I found the focus on 'best practices' and 'what not to do' particularly useful for actual interviews."
"The real-world examples helped illustrate how to conduct effective qualitative interviews."
"It's great to learn about the researcher's essential role in data collection."
Introduces core qualitative research approaches.
"I appreciate the structured introduction to phenomenology, narrative inquiry, and grounded theory."
"This course provides a clear understanding of key qualitative interviewing approaches."
"It's a solid start for anyone new to these specific research methods and concepts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Interviewing Methods with these activities:
Read 'The SAGE Handbook of Qualitative Research'
Gain a comprehensive overview of qualitative research principles, methodologies, and applications through this seminal text.
Show steps
  • Read selected chapters relevant to the course topics.
  • Identify key concepts and research methods discussed in the book.
  • Apply the learnings from the book to your own research projects.
Practice Active Listening
Engage in exercises to enhance your active listening skills, crucial for effective qualitative interviewing.
Browse courses on Interviewing
Show steps
  • Engage in role-playing scenarios that simulate interviews.
  • Record yourself conducting an interview and analyze your listening skills.
  • Seek feedback from others on your listening skills.
Exploring Narrative Inquiry
Follow online tutorials to gain a deeper understanding of the principles and methods of narrative inquiry.
Show steps
  • Identify online resources and tutorials on narrative inquiry.
  • Complete interactive exercises and activities within the tutorials.
  • Apply the learnings from the tutorials to analyze real-world examples of narrative research.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Conducting Phenomenological Interviews
Engage in mock interviews to practice the techniques and skills involved in phenomenological interviewing.
Browse courses on Interviewing
Show steps
  • Prepare a list of open-ended questions.
  • Role-play as both the interviewer and interviewee.
  • Record and review the interviews to identify areas for improvement.
Develop a Grounded Theory Outline
Create a comprehensive outline for a grounded theory research project to solidify your understanding of its structure and components.
Show steps
  • Identify a research question and objectives.
  • Develop a theoretical framework.
  • Outline the data collection and analysis methods.
  • Write a brief literature review.
Participate in a Research Discussion Group
Join a study group or online forum to engage in discussions and receive feedback on your research findings.
Browse courses on Data Analysis
Show steps
  • Identify potential study groups or online forums.
  • Attend meetings or participate in online discussions.
  • Share your research findings and engage in constructive dialogue.
Develop a Research Proposal
Craft a detailed research proposal to demonstrate your understanding of qualitative research design and methodology.
Browse courses on Research Proposal
Show steps
  • Identify a research topic and develop a research question.
  • Conduct a literature review and develop a theoretical framework.
  • Outline the research methods and data analysis plan.
  • Write a research proposal following the guidelines provided in the course.

Career center

Learners who complete Interviewing Methods will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 39 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 Interviewing Methods.
Examining the concepts of being and nothingness, this seminal work explores consciousness, freedom, responsibility, and the existential nature of human existence.
Provides a comprehensive overview of interviewing techniques, covering everything from planning and preparation to conducting the interview and evaluating the results. It valuable resource for anyone who wants to improve their interviewing skills.
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 textbook provides a thorough overview of qualitative research methods, including theoretical foundations, data collection and analysis techniques, and ethical considerations. It is an excellent resource for students and researchers in various social science disciplines.
Provides a comprehensive overview of interviewing as a qualitative research method. It covers the entire research process, from planning and conducting interviews to analyzing and interpreting data.
This classic book is one of the most influential works on grounded theory, a qualitative research method that involves developing theory from data. It provides a step-by-step guide to conducting grounded theory research.
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.
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.
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.
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 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.
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.
Provides a comprehensive overview of qualitative research methods in sociology. It covers the different types of qualitative research, how to design and conduct qualitative research studies, and how to analyze and interpret qualitative data.
Provides a comprehensive overview of qualitative research methods in social work. It covers the different types of qualitative research, how to design and conduct qualitative research studies, and how to analyze and interpret qualitative data.
Provides a comprehensive overview of qualitative research methods in communication. It covers the different types of qualitative research, how to design and conduct qualitative research studies, and how to analyze and interpret qualitative data.
Focuses on the behavioral interview, a type of interview that uses questions about past behavior to predict future performance. It provides a detailed overview of the behavioral interview process and offers tips on how to prepare for and answer behavioral interview questions.
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.
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.
Provides a comprehensive overview of qualitative research methods in health care. It covers the different types of qualitative research, how to design and conduct qualitative research studies, and how to analyze and interpret qualitative data.
Provides a comprehensive overview of qualitative research methods in psychology. It covers the different types of qualitative research, how to design and conduct qualitative research studies, and how to analyze and interpret qualitative data.
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 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.
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.
Explores the power of questions and how they can be used to improve your interviewing skills. It provides a variety of tips and techniques for asking effective questions during an interview.
While more focused on the engineering aspects of data systems, this book provides a deep understanding of the underlying infrastructure for data analysis. It's particularly valuable for graduate students and professionals involved in building and maintaining data pipelines and databases. It adds significant depth to understanding the data landscape.
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Provides a comprehensive guide to the interview process, from preparing for the interview to following up afterwards. It offers tips on how to make a good impression, answer questions effectively, and negotiate a salary.
This interdisciplinary book examines the relationship between phenomenology and cognitive science, exploring how phenomenological insights can inform our understanding of cognition.
This accessible textbook provides a clear and concise introduction to the central concepts and theories of phenomenology.
This classic work explores the application of phenomenology to various human sciences, including psychology, sociology, and history.

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