ratio

Member Training: Determining Levels of Measurement: What Lies Beneath the Surface

You probably learned about the four levels of measurement in your very first statistics class: nominal, ordinal, interval, and ratio.

Knowing the level of measurement of a variable is crucial when working out how to analyze the variable. Failing to correctly match the statistical method to a variable’s level of measurement leads either to nonsense or to misleading results.

But the simple framework of the four levels is too simplistic in most real-world data analysis situations.

Member Training: Those Darn Ratios!

by TAF Support

Ratios are everywhere in statistics—coefficient of variation, hazard ratio, odds ratio, the list goes on. You see them reported in the literature and in your output.

You comment on them in your reports. You even (kinda) understand them. Or, maybe, not quite?

Please join Elaine Eisenbeisz as she presents an overview of the how and why of various ratios we use often in statistical practice.