The ability to make a causal inference between two variables is a function of the ______.
A)level of measurement of the variables
B)precision of measurement of the DV
C)research design
D)statistical technique used to analyze the data

Question

Quizplus · Accepted Answer

The ability to make a causal inference between two variables is primarily impacted by the research design. Specifically, a well-designed experimental study (where the independent variable is manipulated) is more likely to establish causality than non-experimental designs such as correlational studies. While the other factors mentioned (level of measurement, precision of measurement, and statistical technique) can impact the analysis and interpretation of data, they are not as central to establishing causality as research design.

The Ability to Make a Causal Inference Between Two Variables