Factor analysis is used for:
(A) data entry
(B) data distribution
(C) data reduction
(D) data separation
Correct Ans: (C)
Explanation:
Researchers use factor analysis to reduce large datasets into smaller, more meaningful groups. Instead of analyzing each variable separately, they identify patterns and combine related variables into broader categories called factors.
This method works by examining how variables relate to one another. When several items show strong connections, they likely reflect the same underlying theme. For instance, questions about media habits might group into factors like “digital preference” or “traditional media use.”
As a result, researchers avoid repetition and focus on essential insights. This reduction makes complex data easier to interpret, report, and use for further analysis. Moreover, it saves time and enhances clarity—especially in survey-based studies.
In communication research, factor analysis plays a major role. Scholars apply it to understand audience behavior, message impact, or media patterns. Additionally, it helps build reliable models and simplifies questionnaire data into usable forms.
Unlike raw statistics, factors reveal deeper relationships. Therefore, this method not only condenses data but also uncovers the structure behind it. Researchers can then draw clearer conclusions and make better decisions.
To sum up, factor analysis turns cluttered information into structured insight. By grouping similar variables, it offers a practical and powerful way to make data more useful and accessible.
