Although people sometimes confuse random assignment with random sampling, the two are really quite different. With random sampling, the goal is to choose a representative set of cases from a larger population. With random assignment, the goal is usually to give all participants an equal chance of being assigned
to each experimental condition (regardless of how representative the participants are).
Suppose, for example, that you're a medical researcher testing doses
of a new drug, and you want to randomly assign 40 volunteers to 4
You would begin by giving each volunteer an identification number (Participant 001, 002, 003, etc.), and then use the Randomizer form to generate 1 set of 40 non-unique, unsorted numbers with a range from 1 to 4 (representing the