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- race, gender, religious
affiliation, political
affiliation, region of the
country, eye color, hair
color, zodiac sign, etc.
- For example, you cannot say
that Black is more than White
or that White is more than
Asian
⦿ You can't say that male is
more than female
⦿ These are merely different
categories
⦿ Any difference between them
is qualitative, not quantitative

Social class (lower, working, middle, upper)
● "Likert" items (strongly agree, agree, disagree, strongly
disagree)
● Military rank (private, corporal, sergeant, etc.)
● Level of education (less than high school, high school,
some college, college degree, etc.)
● Olympic medals (gold, silver, bronze) are a really good example of the ordinal level of measurement.

⦿ If you strongly disagree with the statement, "GSU offers healthy food choices on campus", how much more do you disagree with the statement that someone who just disagrees with the statement?
● It is impossible to tell because there is no precise distance
between the categories.

- Income (measured in dollars)
⦿ Years of education (12 years of school, 13 years of school etc.).
This is different from LEVEL of education (less than high
school, high school etc)
⦿ Weight, Height, Distance (cm, inches, miles, kilometers), time
(seconds, minutes, days, years)
⦿ Counts of people (e.g. number of siblings, number of
children), number of class absences, grades (0-100), GPA, etc.

For example, educational attainment can be measured in the
number of years completed (0, 1, 2, 3, ..., 12, 13, etc. - an intervalratio variable) or it can be measured in the highest degree
received (less than high school, high school diploma, associates
degree, bachelors degree, etc. - an ordinal variable).
⦿ Yes/no variables are typically treated as nominal
variables.

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Why is it important to determine the measurement level of a variable?

It is important to understand the level of measurement of variables in research, because the level of measurement determines the type of statistical analysis that can be conducted, and, therefore, the type of conclusions that can be drawn from the research.

Why is it important to know the four levels of measurement?

Learning about the four levels of measurement allows statisticians and analysts to more efficiently plan for research and present their findings.

Why is it important to measure variables at the highest level of measurement that is congruent with the concept being measured?

Answer and Explanation: It is important to measure variables at the highest level of measurement that is congruent with the concept being measured because the level of measurement of the variable decides which test would be the best to analyze the data from that category.

What is the main purpose and importance of measurement in research?

The goal of measurement is to get reliable data with which to answer research questions and assess theories of change. Inaccurate measurement can lead to unreliable data, from which it is difficult to draw valid conclusions.