It is a categorical variable such as a subject's gender or race which are not experimental conditions but are still included into the statistical analysis as a mean of statistical control.
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A blocking variable is a variable that is included in a statistical analysis to account for the effects of that variable on the outcome of interest. By including a blocking variable, researchers can control for potential confounding factors and ensure that the relationship being studied is accurately captured. Blocking variables are commonly used in experimental design to improve the precision and validity of study results.
A measured outcome variable in an experiment is typically referred to as the dependent variable. This is the variable that is being measured or observed to determine the effects of the independent variable(s) being manipulated in the experiment.
An outcome variable is the dependent variable in a study that researchers measure to determine the effect of the independent variable(s). It represents the main result or effect that researchers are studying or trying to understand.
The independent variable in an experiment is the one that is manipulated in order to test a hypothesis. There will also be a control used in order to make sure that the variable is doing what it is supposed to.
A variable being measured is a characteristic or attribute that can take on different values or levels, and it is the focus of study in research or experimentation. Variables can be either independent (manipulated or controlled by the researcher) or dependent (affected by changes in the independent variable).
Household income is a quantitative variable, specifically a continuous variable, since it can take on a wide range of numerical values.