Every time I am lost in my PhD journey, I try to search something helpful on TH-cam doubting it would even be there. And here you are having the exact answer for my questions. Thank you!
Thank you so much for your kind words! I’m truly glad to hear that my videos have been able to provide the support and answers you need during your PhD journey. It's not easy navigating this path, and I'm honoured to be a part of your resource toolkit. Keep pushing forward-you've got this! And remember, I’m here whenever you need guidance or a little encouragement. 😊
Thank you again for this informative and helpful video. I am planning to write my research paper next semester for my master's. Currently, I am working on the assignment for an introductory research subject. This video helped me a lot in analysing a mixed methods research paper. Thank you! :)
I’m so glad the video helped you! 😊 Best of luck with your paper - it sounds like you’re on a great path! If you need any more guidance along the way, feel free to reach out. You’ve got this! 🙌
This fantastic video helped a lot. I used a mixed method to separate data for Quan and Qual and interpret them, BUT my supervisor asked me to combine the results and interpret them. My struggle is how statistical data from the survey and thematic from the interview will be integrated? Because they don't have similar questions and, therefore, different answers. Kindly comment on how we can interpret the results and in what form?. Thank you so much
I'm so glad you found the video useful! Combining quantitative and qualitative data can be challenging, especially when they come from different questions and methods. One approach to integrating them is to look for overarching themes or patterns where your qualitative insights can help explain or add depth to your quantitative findings. For example, if you find a statistical trend in your survey data, you might use themes from your interviews to illustrate or provide context for why this trend exists. Think of it like telling a story where each piece of data complements the other, rather than matching them directly. As for structure, you could try a joint display table or framework where you present the quantitative results and then bring in qualitative quotes or themes alongside them to add nuance. This way, each dataset speaks to different aspects of your research question but still contributes to a cohesive narrative. Hope this helps, and let me know if you have any more questions!
Thank you for the great video! I was wondering, if I want to write down my quanti/quali data separately and this is my structure: 4.1 Study selection/number of studies screened assessed/included 4.2 Study characteristics 4.3 Methodological quality and/or risk of bias 4.4 Results of individual studies 4.5 Synthesis of results/meta-analysis Where in these subheadings can I best start making a distinction in the data? It is more convenient to summarize the data together for the subheading "study selection" using the PRISMA flow chart. After this it becomes clear how many articles were included in the review and how many of them are qualitative and quantitative (Ultimately, X articles were included, consisting of X quantitative studies and X qualitative studies. These studies will be analyzed separately?).. In terms of methodological appraisal, it can also be put together in a table.. Maybe it is a good moment to start writing it separately from 4.4 to 4.5, or already at 4.3? And how can I do this in the least chaotic manner (:
Thank you for your thoughtful question! It sounds like you've put together a solid structure. If you want to start distinguishing between qualitative and quantitative data, I’d recommend doing that at 4.3 when discussing methodological quality and bias. This would allow you to break down the strengths and limitations of both sets of studies. You could further develop this distinction at 4.4 when presenting the results. Including a table as you mentioned would be a great way to summarise methodological appraisal concisely. The key is to keep the synthesis at 4.5 well-integrated to highlight how both types of data contribute to your overall findings. Good luck!
Great video and very informative. How do you present the results of mixed method study in PowerPoint presentation for a thesis seminar... please share your guidance with examples. Thank you in advance.
Thank you for your kind words! When presenting the results of a mixed-methods study in a thesis seminar, I recommend structuring it by separating the quantitative and qualitative findings, while making connections between them as you go. Start with a brief overview of your research questions and methods to set the context. Then, present your quantitative results using clear visuals like charts or graphs to highlight key data points. For your qualitative findings, share quotes or themes in a concise way-using thematic maps or word clouds can be a great visual tool for this. Finally, tie both sections together by discussing how the findings complement each other. Best of luck with your seminar!
Very helpful thank you! I am just wondering if this is referring to the discussion section? In terms of the data analysis should they still be kept separate?
This very much depends on the traditions and conventions within your subject area or discipline. Some prefer to keep findings and discussion completely separate, whilst others prefer an integration. I discuss this further in this video, hope it's helpful! th-cam.com/video/hQ6zKPE5sck/w-d-xo.htmlsi=P-svGtcJS5JfaCi1
Thank you this is very helpful. I finished writing my findings seperatly and now i am a bet challenged how can I write the discussion specially most of the quantitative results contradicting the qualitative one. I did first qualitative then quantitative study. .Please advice!
Thank you for your comment! It sounds like you’ve encountered one of the challenges of mixed methods research, where the quantitative and qualitative findings don’t always align. In your discussion, you can start by acknowledging this contradiction and then explore possible reasons for it. Consider whether the two methods were examining different aspects of the issue or if there might be underlying factors that could explain the differences. You can also discuss what these discrepancies might suggest about your research topic as a whole and how they contribute to a deeper understanding. It’s important to show how each set of findings offers unique insights, even if they don’t perfectly match up. Good luck, and I’m glad the video was helpful!
Every time I am lost in my PhD journey, I try to search something helpful on TH-cam doubting it would even be there. And here you are having the exact answer for my questions. Thank you!
Thank you so much for your kind words! I’m truly glad to hear that my videos have been able to provide the support and answers you need during your PhD journey. It's not easy navigating this path, and I'm honoured to be a part of your resource toolkit. Keep pushing forward-you've got this! And remember, I’m here whenever you need guidance or a little encouragement. 😊
Many thanks for motivating words. You are very kind. Thank you for supporting us in our journey.
I am doing a mixed method research for my study, this is really helpful. Thank you
You’re most welcome! I’m so pleased you found it helpful. All the best with your mixed methods study 📚
An excellent presentation on presenting the findings of mixed-methods research.
Thank you! So pleased you enjoyed it! 🤓
Thank you again for this informative and helpful video. I am planning to write my research paper next semester for my master's. Currently, I am working on the assignment for an introductory research subject. This video helped me a lot in analysing a mixed methods research paper. Thank you! :)
I’m so glad the video helped you! 😊 Best of luck with your paper - it sounds like you’re on a great path! If you need any more guidance along the way, feel free to reach out. You’ve got this! 🙌
This fantastic video helped a lot. I used a mixed method to separate data for Quan and Qual and interpret them, BUT my supervisor asked me to combine the results and interpret them. My struggle is how statistical data from the survey and thematic from the interview will be integrated? Because they don't have similar questions and, therefore, different answers. Kindly comment on how we can interpret the results and in what form?. Thank you so much
I'm so glad you found the video useful! Combining quantitative and qualitative data can be challenging, especially when they come from different questions and methods. One approach to integrating them is to look for overarching themes or patterns where your qualitative insights can help explain or add depth to your quantitative findings.
For example, if you find a statistical trend in your survey data, you might use themes from your interviews to illustrate or provide context for why this trend exists. Think of it like telling a story where each piece of data complements the other, rather than matching them directly.
As for structure, you could try a joint display table or framework where you present the quantitative results and then bring in qualitative quotes or themes alongside them to add nuance. This way, each dataset speaks to different aspects of your research question but still contributes to a cohesive narrative.
Hope this helps, and let me know if you have any more questions!
Thank you for the great video! I was wondering, if I want to write down my quanti/quali data separately and this is my structure:
4.1 Study selection/number of studies screened assessed/included
4.2 Study characteristics
4.3 Methodological quality and/or risk of bias
4.4 Results of individual studies
4.5 Synthesis of results/meta-analysis
Where in these subheadings can I best start making a distinction in the data? It is more convenient to summarize the data together for the subheading "study selection" using the PRISMA flow chart. After this it becomes clear how many articles were included in the review and how many of them are qualitative and quantitative (Ultimately, X articles were included, consisting of X quantitative studies and X qualitative studies. These studies will be analyzed separately?)..
In terms of methodological appraisal, it can also be put together in a table.. Maybe it is a good moment to start writing it separately from 4.4 to 4.5, or already at 4.3? And how can I do this in the least chaotic manner (:
Thank you for your thoughtful question! It sounds like you've put together a solid structure. If you want to start distinguishing between qualitative and quantitative data, I’d recommend doing that at 4.3 when discussing methodological quality and bias. This would allow you to break down the strengths and limitations of both sets of studies. You could further develop this distinction at 4.4 when presenting the results. Including a table as you mentioned would be a great way to summarise methodological appraisal concisely. The key is to keep the synthesis at 4.5 well-integrated to highlight how both types of data contribute to your overall findings. Good luck!
Great video and very informative. How do you present the results of mixed method study in PowerPoint presentation for a thesis seminar... please share your guidance with examples. Thank you in advance.
Thank you for your kind words! When presenting the results of a mixed-methods study in a thesis seminar, I recommend structuring it by separating the quantitative and qualitative findings, while making connections between them as you go. Start with a brief overview of your research questions and methods to set the context. Then, present your quantitative results using clear visuals like charts or graphs to highlight key data points. For your qualitative findings, share quotes or themes in a concise way-using thematic maps or word clouds can be a great visual tool for this. Finally, tie both sections together by discussing how the findings complement each other. Best of luck with your seminar!
Thank you for all your videos...very useful...Please post a video on Integration and Discussion in a Mixed methods study
You're very welcome and thank you for the suggestion - I will add this to my list of topics to cover, watch this space!
@@DegreeDoctor is this also referring to "triangulation of findings & discussions"?
Very helpful thank you! I am just wondering if this is referring to the discussion section? In terms of the data analysis should they still be kept separate?
This very much depends on the traditions and conventions within your subject area or discipline.
Some prefer to keep findings and discussion completely separate, whilst others prefer an integration.
I discuss this further in this video, hope it's helpful!
th-cam.com/video/hQ6zKPE5sck/w-d-xo.htmlsi=P-svGtcJS5JfaCi1
Thank you this is very helpful. I finished writing my findings seperatly and now i am a bet challenged how can I write the discussion specially most of the quantitative results contradicting the qualitative one. I did first qualitative then quantitative study. .Please advice!
Thank you for your comment! It sounds like you’ve encountered one of the challenges of mixed methods research, where the quantitative and qualitative findings don’t always align. In your discussion, you can start by acknowledging this contradiction and then explore possible reasons for it. Consider whether the two methods were examining different aspects of the issue or if there might be underlying factors that could explain the differences. You can also discuss what these discrepancies might suggest about your research topic as a whole and how they contribute to a deeper understanding. It’s important to show how each set of findings offers unique insights, even if they don’t perfectly match up. Good luck, and I’m glad the video was helpful!
so helpful! Thanks.
You’re very welcome! ☺️ Let me know if you have any questions!
This is very useful. Thank you!
You’re very welcome!
Very helpful video. Thank you
You're welcome!