Describe the strengths of quantitative data collection and analysis.

Question

What will be an ideal response?

Answer 1

Ans: Answer would ideally include: There are a number of types of probability and nonprobability sampling that allow for varying amounts of randomness and representation; this is certainly one strength of quantitative research. These sampling methods are where good data collection begins. Next, quantitative data collection and analysis methods are very well defined and systematic overall, which promotes more consistent interpretation than in qualitative methods. Additionally, because the researcher’s role is separated and distinct from participants in quantitative studies, increased objectivity is attainable. This allows for more generalizability because the results of the study speak only to the processes and the study’s components, thereby excluding any influence the researchers might have if they interacted more closely with participants. Finally, each of these components make individual contributions toward a sound quantitative study and therefore ensures that the overall goal is achieved, which includes the ability to adequately represent the populations involved and generalize study results to other populations.