Chapter 39: No Revisions
"Oh, that," Jeff replied calmly, sharing his thoughts without hesitation.
"Actually, teacher, the reason I chose stratified random sampling is because I wanted to make sure that every group of students, whether by grade level or gender, gets fair representation in the study," he explained clearly.
This shows that he fully understood the sampling method he had written.
"If I only used simple random sampling, there is a chance that I might end up selecting too many students from one year level and too few from another, which could make the results biased,"
"But with stratified sampling, I can divide the students into groups, like Grade 11 boys, Grade 11 girls, Grade 12 boys, and so on, then randomly pick from each group. This way, every subgroup is properly represented, and the results will be more accurate and reliable."
"To be precise, I did not just limit the sampling to Grade 11 and 12," Jeff added calmly.
"Since my study covers all students from Grade 7 to 12, I included everyone in the sampling process to ensure fair and complete representation."
Mrs. Eve blinked, slightly taken aback by the depth of his reasoning.
She had expected a typical, surface-level answer but instead, his explanation showed clear understanding of both the sampling method and its proper application to his research.
In stratified random sampling, it is not limited to just one or two grade levels.
The researcher can still give everyone a chance to be selected, but the key is to first group (or stratify) the population based on certain characteristics.