When collecting the data for module three, I employed simple random sampling. I selected this sampling strategy because of its advantages when it comes to being unbiased in the sampling process and, as a result, helping to improve the validity of the research. Secondly, I ensured that I collected as many samples as possible to improve the reliability of my research. As a result, the process was tedious because of the selection of multiple random samples, and in some cases, the random samples were in some areas that were not physically accessible. As a result, I had to get help from friends to help me ace these areas, and despite this, the process took a lot of time. Nonetheless, the process helped me achieve what I needed, which was a large sample that was unbiased.
The data I collected was surprising because I did not initially understand how widespread and diverse the vegetation is in Kelowna, BC. I was also surprised by the abidance of the canopy cover in the area based on the type of soil in the area.
I plan to keep collecting my data using the same technique because it is the unbiased sampling method, and I believe if I have an unbiased sampling method, then I will have research with better findings that are not biased. The only thing I will improve is ensuring that the sample size is large enough to improve the validity and reliability of the research.
I still don’t know what your study site is beyond Kelowna BC which is too broad and I don’t know what your sample unit was, what your predictor and response variables are or how you employed your sample strategy.