Individual Reflections
Tan Xin Xin | T03
Statistics and Research Methods II
One challenge faced was getting the participants to fill out the post-survey within 24-hours after the end of the Service-Learning experience. My group’s collection of data was in the form of an online survey. Despite sending the link into the class’ group chat, and indicating for the survey to be completed within 24 hours, there were still about 4 people who did not respond, perhaps because they were busy. Obtaining delayed post-survey data may affect the effect of the Service-Learning experience on participants because the experience is not fresh in their minds and their views may have been altered after some time. My group could combat this issue by preparing hard copy post-surveys, and ensuring that all participants complete them after the debrief, before leaving.
There are benefits and drawbacks for different types of data used. For quantitative data, though numerical expressions make data harder to misinterpret, it lacks contextual details. For qualitative data, though it brings a depth of understanding to research questions, the results are harder to analyse. Therefore, it is more effective for both types of data to be used together to fill the gaps and also gather a more holistic view of participants’ responses.
Quantitative data more accurately represents the sample because it quantifies data. Data expressed in numerical form allows us to apply statistical tests and make certain generalizations or conclusions about the research. However, qualitative data is more informative because it provides insights into underlying reasons, developing a more in-depth understanding of the research.
Word count: 250 words
