Tabulation organizes coded data into tables that display frequencies, percentages or other summary figures. By arranging information in rows and columns, it allows researchers to see patterns, compare groups and prepare inputs for further statistical analysis.
Option A:
This option refers to storing raw questionnaires, which is a physical management task rather than analytical tabulation. Without classification and counting, no real analysis can begin.
Option B:
This option correctly captures tabulation as the systematic structuring of data into tables. It emphasizes both organization and the analytical purpose of facilitating comparisons and calculations.
Option C:
Increasing the number of questions in the questionnaire is a matter of instrument design and has nothing to do with the tabulation stage, which occurs after data are collected and coded.
Option D:
This option wrongly claims that tabulation ensures only qualitative data are collected. In practice, tabulation is used mainly for quantitative, coded data and can summarize both quantitative and categorized qualitative information.
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