For my project, Exploring Intersectionality through Object-based Learning, I aim to gather valuable feedback on my workshop from both colleagues and students. To ensure the research is comprehensive and inclusive, I have chosen a combination of semi-structured interviews, mixed-methods surveys, and thematic analysis.
Semi-Structured Interviews with Colleagues
For gathering feedback from colleagues, I opted for semi-structured interviews. This method offers flexibility while ensuring I can gather specific insights about the workshop’s design, effectiveness, and potential improvements.
- Semi-structured interviews are an effective way to allow participants to share their views in their own words while also focusing on key topics relevant to my research. This balance between structure and openness is ideal for exploring colleagues’ perspectives and gaining rich, detailed feedback
- The semi-structured format allows me to ask follow-up questions and adapt the interview based on the conversation, providing deeper insights into specific aspects of the workshop
Mixed-Methods Surveys with Students
To collect feedback from students, I have chosen a mixed-methods survey. This approach combines both quantitative and qualitative methods, allowing me to capture a broad range of data and provide a well-rounded analysis.
- The quantitative portion of the survey uses closed-ended questions, which are easy to analyse and allow for clear comparisons. This helps to identify trends, such as which aspects of the workshop were most beneficial or effective
- The qualitative portion allows students to provide open-ended responses, sharing personal experiences and insights. This adds depth and nuance to the data, enabling me to understand the “why” behind the trends
The combination of both approaches ensures that I can both measure the impact of the workshop and understand the reasons behind students’ reactions.
Thematic Analysis for Data Analysis
For analysing the feedback from both colleagues and students, I’ve chosen thematic analysis. This method is particularly suited to identifying patterns in qualitative data, which will help me understand how the workshop was received and how it can be improved.
- Thematic analysis allows for the identification and interpretation of patterns or themes within the data. By analysing the responses thematically, I can pinpoint key issues that emerged in both interviews and surveys, such as recurring concerns or successful elements of the workshop
- Thematic analysis helps in organising large volumes of qualitative data in a manageable way, making it easier to interpret and draw meaningful conclusions
This analysis tool is ideal for my research because it allows me to stay focused on the core themes related to intersectionality, inclusivity, and effectiveness, ensuring the data is meaningful and can be used to improve the workshop.
Conclusion
The combination of semi-structured interviews, mixed-methods surveys, and thematic analysis ensures that I am gathering both rich qualitative insights and clear quantitative data. By triangulating these methods, I will gain a deeper understanding of how the workshop works and how it can be improved to meet the diverse needs of neurodiverse students of colour.