16 Questions
Which of the following best describes a quantitative variable?
Objectively quantifiable and non-ordinal
What is an example of a discrete quantitative variable?
Number of deaths
Which type of variable can be naturally ordered?
Ordinal
What characterizes a nominal qualitative variable?
Non-ordinal and non-objectively quantifiable
Which variable type includes the categorised BMI (body mass index)?
Ordinal
What distinguishes a continuous quantitative variable from a discrete quantitative variable?
It can always find other possible values between two possible values
What is the variable that could be hypothetically related to the outcome, so its variability could (partially) explain or predict the variability of the outcome?
Exposure
What is a variable that could be associated with the exposure and also have an effect on the outcome, but is not of primary interest?
Confounder
In biostatistics, what name is applied exclusively to continuous explanatory variables?
Covariate
In epidemiology, this terminology is usually applied to both qualitative and continuous explanatory variables. What is it?
Factor
Which type of variable measures certain characteristics related to health, whose description or modeling is the main aim of the study?
Response
What is the variable that could be motivating the study and usually measures a characteristic related to health?
Response
What is any potential explanatory variable included in the study, particularly in some fields of biostatistics?
Covariate
What is any potential qualitative explanatory variable included in the study, especially in epidemiology?
Factor
In some studies, what do they analyze several of at a time, even a high number of them, as is the case of the exposome paradigm?
Exposure variables
What is a variable that is typically considered a confounder and is often controlled for in studies to obtain adjusted effects?
Confounder variable
Test your knowledge of the classification of variables in health sciences with this quiz. Explore different measures and types of variables that are commonly used in statistical analysis.
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