The ordinal level of measurement is characterised by a relation of 

(A) equality 

(B) greater than

(C) definitivity 

(D) equal distance

Correct Ans: (B)

Explanation:

The ordinal level of measurement is characterized by its ability to rank data based on a “greater than” or “less than” relationship. This ranking system organizes data into ordered categories, allowing for a meaningful comparison of positions or levels.

For example, consider survey responses like “satisfied,” “neutral,” and “unsatisfied.” These categories exhibit a logical order, where one response holds a higher or lower position than the others. However, while the ordinal scale establishes rank, it does not convey the exact magnitude of difference between categories.

Furthermore, this level of measurement is particularly useful in areas like opinion polls, satisfaction surveys, and grading systems. By focusing on order rather than exact values, researchers can assess preferences, rankings, and attitudes without requiring precise numerical data.

However, it is essential to note the limitations of ordinal measurement. Since the scale does not assume equal distances between categories, advanced statistical analyses, like averaging, are not always appropriate. Instead, ordinal data is best suited for descriptive comparisons, such as identifying trends or summarizing preferences.

In conclusion, the ordinal level of measurement provides a structured way to rank data while emphasizing relational order. Its “greater than” characteristic makes it a valuable tool in communication research, social studies, and behavioral sciences for organizing and analyzing data effectively. By leveraging this measurement, researchers can gain insights into relative positions and preferences.