Correct option is A
Both
qualitative and
quantitative research deal with
data reduction, which is the process of simplifying and summarizing large sets of data to draw meaningful conclusions. In quantitative research, data reduction may involve statistical analysis, where raw data is processed into averages, percentages, and other summary statistics. In qualitative research, it may involve coding and categorizing data into themes or patterns to make it more manageable and understandable.
Artificial settings (b) are more typical of experimental research in controlled environments, not a general concern for all research types.
Uniformity of data (c) is a focus in quantitative research but not typically emphasized in qualitative research, which values variation and complexity.
Social fantasy (d) is unrelated to the aims of research.
Information Booster: ·
Data reduction helps in managing large datasets and simplifying information for analysis in both research approaches.
· In
quantitative research, it often involves the use of statistical tools and techniques to summarize numerical data.
· In
qualitative research, it involves coding, categorizing, and identifying key themes from textual or observational data.
·
Both research methods aim to extract meaningful patterns from data, although the nature of the data differs.
·
Data reduction in qualitative studies often focuses on distilling insights, while in quantitative studies, it focuses on presenting trends and relationships.
· The process of reducing data ensures that only the most relevant and significant findings are emphasized.