Types of Variables

Professor Fehannyola introduces the topic of different types of variables used in research and statistics, urging viewers to subscribe for more content.

Interval variables provide continuous response possibilities with assumed equal distances between values. Examples are test scores (with defined passing ranges), IQ scores, and temperature ranges (e.g., fever thresholds).

The highest level of measurement is ratio, which possesses a true zero point and equal distances between units. Ratio variables have characteristics of nominal, ordinal, and interval levels. Examples include income, age groups, and the number of children in a family.

Variables are classified based on the nature of their attributes. Qualitative variables classify objects by type or quality (e.g., sex, occupation), while quantitative variables classify by degree or amount (e.g., birth weight, height, age).

Variables are also classified by the nature of the values they take. Discrete variables are whole numbers that cannot be subdivided (e.g., student enrollment, faculty size). Continuous variables can be subdivided infinitely (e.g., rates, weights, heights).

The first level of measurement is nominal or categorical. These variables describe traits or characteristics without any intrinsic order (e.g., civil status, sex, ethnicity).

Ordinal variables involve participants being ranked or ordered based on characteristics. Examples include socio-economic status (upper, middle, lower) or rankings (first, second, third).