Statistics

explanatory variable

affects the value of the response variable

response variable

is affected by changes in the value of the explanatory variable

confounding

when the effects of 2 or more explanatory variables are not separated, so any relation between the explanatory variable and response variable may be due to some other variable not accounted for in the study

lurking variable

an explanatory variable that was not considered in a study but affects the value of the response variable in the study

cross sectional study

collect info at a specific point in time, or a very short period of time

case control study

look back in time and individuals with a certain characteristic are matched with those that do not have that characteristic (more beneficial study)

observational study

measures the value of the response variable without attempting to influence the value of either the response or explanatory variables. The researcher observes the behavior of the individuals in the study without trying to influence the outcome of the stud

experiment

the researcher assigns the individuals in a study to a certain group, intentionally changes the values of an explanatory variable and then records the value of the response variable for each group