Random sampling is not as important when you wish to:
A) apply your findings directly to a specific population.
B) predict from the general level (e.g., a theory) to the specific (e.g., a specific behavior).
C) make general predictions (e.g., what percentage of the population will vote for a certain candidate in an election) based on a sample from a population.
D) use your sample to infer the characteristics of the population.

Question

Quizplus · Accepted Answer

Random sampling is less crucial when predicting from a general theory to a specific behavior because the focus is on testing the theory rather than generalizing findings to a population.

Random Sampling Is Not as Important When You Wish To