‘The post-test only control group design’ is amenable to the application of:
(A) ANOVA
(B) t-test
(C) Chi-square test
(D) Partial Correlation
Correct Ans: (B)
Explanation:
The post-test only control group design is a true experimental research method where two groups are compared—one receives a treatment, while the other acts as a control. Importantly, researchers measure the outcome only after the intervention, without any pre-test assessment.
This design aims to control internal validity threats, such as testing effects or pre-test sensitization. Because both groups are randomly assigned, differences in the post-test scores can be attributed to the treatment alone.
To analyze these differences statistically, researchers often apply the t-test. This test evaluates whether the mean scores of the two groups differ significantly. It works effectively when comparing two independent groups, making it ideal for this experimental format.
Unlike ANOVA, which is suited for comparing more than two groups or factors, the t-test remains the most appropriate and straightforward choice here. The Chi-square test, on the other hand, analyzes categorical data and not continuous outcomes typically produced by post-tests. Partial correlation explores relationships between variables while controlling for others, which doesn’t align with the goal of comparing group means in this design.
Thus, in this research setup, the t-test delivers clear insights into treatment effects. It supports researchers in drawing valid conclusions about whether an intervention worked. As a result, the post-test only control group design paired with a t-test becomes a powerful combination for experimental studies in mass communication and social science fields.
