Determine which of the four levels of measurement

The ordinal level of measurement is most appropriate because the data can be ordered, but differences obtained by subtraction cannot be found or are meaningless. Sign in. General Statistics: Ch 1, Sec 1. Helpfulness: 0.

Set Details Share. This course is designed to acquaint the student with the principles of descriptive and inferential statistics. Log in Sign Up. Forgot password? Register Now. Already have an account? Login here. Solved: determine which of the four levels of measurement. ISBN: Solution for problem 28BSC Chapter 1.

Get Full Solutions. Examples: Gender : Male, Female, Other. Type of living accommodation : House, Apartment, Trailer, Other. The Likert Scale : strongly disagree, disagree, neutral, agree, strongly agree. Level of Agreement : yes, maybe, no. Examples : Celsius Temperature. Fahrenheit Temperature.

IQ intelligence scale. Examples : Age. Sales Figures. Ruler measurements. Step 2 of 3 Chapter 1. Check your paper for plagiarism in 10 minutes. Do the check. Generate your APA citations for free! APA Citation Generator. Levels of measurement: Nominal, ordinal, interval, ratio Published on July 16, by Pritha Bhandari. There are 4 levels of measurement: Nominal : the data can only be categorized Ordinal : the data can be categorized and ranked Interval : the data can be categorized, ranked, and evenly spaced Ratio : the data can be categorized, ranked, evenly spaced, and has a natural zero.

What are the four levels of measurement? There are 4 levels of measurement, which can be ranked from low to high: Nominal : the data can only be categorized. Ordinal : the data can be categorized and ranked.

Interval : the data can be categorized and ranked, and evenly spaced. Ratio : the data can be categorized, ranked, evenly spaced and has a natural zero. Why do levels of measurement matter? How do I decide which level of measurement to use? For example, income is a variable that can be recorded on an ordinal or a ratio scale: At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1—5. At a ratio level , you would record exact numbers for income.

Is this article helpful? Pritha Bhandari Pritha has an academic background in English, psychology and cognitive neuroscience. As an interdisciplinary researcher, she enjoys writing articles explaining tricky research concepts for students and academics. Other students also liked.

An introduction to descriptive statistics Descriptive statistics summarize the characteristics of a data set. There are three types: distribution, central tendency, and variability.

Central tendency: Mean, median and mode Measures of central tendency help you find the middle, or average, of a data set. Mean, median and mode are the 3 main measures.

How to collect and analyze nominal data Nominal data can be labelled or classified into mutually exclusive categories, but with no meaningful order between them.

You can categorize your data by labelling them in mutually exclusive groups, but there is no order between the categories.