In his study of effectiveness of driver's education programs, Cameron administers a practice items from a drivers' test. Participants are randomly assigned to one of two treatments, either a tutorial that narrates content, or an equivalent amount of time to practice items with feedback. After the treatment, Cameron again assesses students' knowledge with a drivers' test. He set his alpha at p = .05, and reported that significant differences indicated that those in the practice with feedback condition outperformed those in the tutorial condition. Which of the following were appropriate for Cameron to use to analyze his data?
A) t test
B) ANCOVA
C) Chi Square
D) Pearson r

Question

Quizplus · Accepted Answer

A t-test is appropriate for analyzing whether there is a significant difference in mean scores between two groups, which is the case in this study where there are two treatments (tutorial vs. practice with feedback) and performance on the drivers' test is being compared. ANCOVA may also be appropriate if there were covariates that needed to be controlled for, but this information is not provided in the scenario. Chi Square and Pearson r are not appropriate for analyzing this type of data.

In His Study of Effectiveness of Driver's Education Programs, Cameron