When the results of a study hold true for multiple populations, it can be said that the study has:
A) Cross-population generalizability
B) Measurement validity
C) Sample generalizability
D) Internal validity
E) Causal validity

Question

Quizplus · Accepted Answer

Cross-population generalizability refers to the ability of study results to hold true across different populations. Therefore, this is the best choice to describe a study with results that are applicable to multiple populations. Measurement validity refers to the accuracy of the measures used in the study, sample generalizability refers to the ability of a study to apply its findings to a larger population beyond the study sample, internal validity refers to the degree to which the study provides evidence for causality, and causal validity refers to whether or not the study's results show a causal relationship between variables. None of these options specifically address the applicability of study results to multiple populations.

When the Results of a Study Hold True for Multiple