PRESENTATION OUTLINE
A. Nominal Level of Measurement
- it is mutually exclusive and exhaustive meaning it is used to differentiate classes or categories for purely classification or identification purposes.
- nominal date are discrete variables.
Examples:
Gender (male, female)
Automobile Ownership(Yes, No)
Type of Life Insurance Owned(Team, Endowment, Straigth-life, others, none)
B. Ordinal Levels of Measurement -It is used in ranking. It is somewhat stronger form of measurement, because an observed value classified into one category is said to posses more of a property being scaled than does an observed value classified into another category.
-Ordinal data are discrete variables.
Examples:
Student Class Designation (Freshman, Sophomore, Junior, Senior)
Product Satisfaction (Unsatisfied, Neutral, Satisfied, Very Satisfied)
Movie Classification (G, PG, SPG)
C. Interval Level of Measurement
-It is used to classify order and differentiate between classes or categories in terms of degrees of differences.
-Interval data are either discrete or continuous variables.
Examples:
Temperature (in degree °C or °F)
Calendar Time (Gregorian, Hebrew, or Islamic(
D. Ratio Level of Measurement it differs from interval measurement only in one aspect; it has a true zero point (complete absence of the attitude being measured).
-Ratio data are either discrete or continuous variables.
Examples:
Weight (in pounds or kilograms)
Age (in years or days)
Salary (in Philippine peso)
