If the number of subjects in a program is small,statistical tests can detect only very large program effects of differences in outcome measures between the two groups.This illustrates the problem of:
A) generalizability
B) statistical conclusion validity
C) maturation
D) reliability

Question

Quizplus · Accepted Answer

Statistical conclusion validity refers to the degree to which statistical tests can detect true differences between groups. In this scenario, the small sample size is limiting the ability to detect smaller program effects, which is an issue of statistical conclusion validity. Generalizability refers to the extent to which findings can be applied to other populations, maturation refers to changes in participants over time, and reliability refers to the consistency of measurements. These are not the main issues in this scenario.

If the Number of Subjects in a Program Is Small,statistical