Reflexivity in Qualitative Research Training Course
Reflexivity in Qualitative Research Training Course empowers researchers to critically examine their own positionality, biases, and influence on the research process, enhancing the validity, credibility, and trustworthiness of qualitative studies.
Course Overview
Reflexivity in Qualitative Research Training Course
Introduction
In today’s rapidly evolving research landscape, reflexivity in qualitative research has emerged as a cornerstone for ensuring rigor, transparency, and ethical integrity. Reflexivity in Qualitative Research Training Course empowers researchers to critically examine their own positionality, biases, and influence on the research process, enhancing the validity, credibility, and trustworthiness of qualitative studies. This course equips participants with practical frameworks, reflective strategies, and advanced tools to integrate reflexive practices seamlessly into their research methodology.
Designed for academics, social scientists, and research professionals, this training emphasizes innovative qualitative methods, self-awareness in research, and methodological transparency. Through a combination of case studies, interactive exercises, and guided reflections, participants will develop the skills to critically interrogate their research process, refine data interpretation, and elevate the overall quality of their qualitative studies. By the end of this course, attendees will possess a strong reflexive lens to conduct ethically robust and methodologically sound research.
Course Duration
5 days
Course Objectives
By the end of this training, participants will be able to:
- Understand the concept and significance of reflexivity in qualitative research.
- Identify and critically analyze researcher positionality and biases.
- Apply reflective techniques for data collection and interpretation.
- Enhance research credibility, rigor, and transparency through reflexive practices.
- Develop ethical awareness and integrity in qualitative research.
- Utilize advanced qualitative methodologies integrating reflexivity.
- Conduct self-reflective audits throughout the research lifecycle.
- Interpret qualitative data through a reflexive lens.
- Employ practical tools for reflexive journaling and memoing.
- Design research projects incorporating iterative reflexive cycles.
- Evaluate the impact of researcher influence on findings.
- Integrate reflexivity into interdisciplinary qualitative studies.
- Create a personalized reflexivity framework for future research projects.
Target Audience
- Social scientists and qualitative researchers
- Graduate and postgraduate students in social sciences
- Academic faculty and educators
- Policy analysts and evaluators
- Market researchers and UX professionals
- NGO and development research professionals
- Data analysts interested in qualitative methodologies
- Professionals involved in interdisciplinary research projects
Course Modules
Module 1: Foundations of Reflexivity
- Defining reflexivity in qualitative research
- Historical evolution and key theories
- Importance for research credibility and ethics
- Reflexivity vs. subjectivity: common misconceptions
- Case Study: Reflexivity in ethnographic fieldwork
Module 2: Researcher Positionality and Bias
- Understanding positionality in social research
- Identifying conscious and unconscious biases
- Impact of researcher identity on data interpretation
- Strategies to mitigate bias
- Case Study: Bias influence in interview-based studies
Module 3: Reflexive Journaling and Memoing
- Purpose and benefits of reflective journals
- Structuring reflective memos for research clarity
- Documenting thoughts, decisions, and assumptions
- Integrating reflexive notes into analysis
- Case Study: Memoing in longitudinal qualitative studies
Module 4: Reflexive Methods in Data Collection
- Incorporating reflexivity in interviews, focus groups, and observations
- Adaptive questioning techniques
- Engaging participants ethically and transparently
- Recognizing and addressing researcher influence
- Case Study: Reflexive fieldwork in community-based research
Module 5: Reflexivity in Data Analysis
- Reflective coding and theme development
- Iterative interpretation cycles
- Ensuring analytical rigor
- Cross-checking personal assumptions
- Case Study: Reflexive thematic analysis in healthcare research
Module 6: Ethical Reflexivity
- Linking reflexivity to research ethics
- Addressing power dynamics and representation
- Reflexive consent and confidentiality practices
- Ethical dilemmas in field research
- Case Study: Ethical reflexivity in participatory action research
Module 7: Integrating Reflexivity in Research Design
- Reflexive research question formulation
- Designing reflexivity checkpoints
- Incorporating feedback loops in methodology
- Tools for iterative research adjustments
- Case Study: Reflexivity in mixed-methods research
Module 8: Advanced Reflexivity and Application
- Developing a personal reflexivity framework
- Reflexivity in interdisciplinary research
- Using digital tools for reflexive practice
- Reflexivity for publication and peer review
- Case Study: Reflexive strategies in international qualitative studies
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
- Interactive lectures and presentations.
- Group discussions and brainstorming sessions.
- Hands-on exercises using real-world datasets.
- Role-playing and scenario-based simulations.
- Analysis of case studies to bridge theory and practice.
- Peer-to-peer learning and networking.
- Expert-led Q&A sessions.
- Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.