In a study evaluating an anti-drug program, researchers administer a pretest and posttest on drug attitudes to students at two different schools—one school receives the program and the other does not. The primary purpose of comparing pretest-to-posttest changes between the two schools is to determine whether the treatment group's attitudes changed significantly more than those of the comparison group.

When evaluating an anti-drug program by comparing one school that receives the program to a similar school that does not, researchers measure student attitudes both before and after the program. What is the primary reason for comparing the amount of 'pretest-to-posttest change' between the two schools, rather than simply comparing their final scores?

A researcher is evaluating the effectiveness of a new anti-drug program using two different schools. Match each action taken by the researcher to its specific role within a pretest-posttest nonequivalent groups design.

Arrange the steps of the logical analysis used to isolate the effectiveness of an anti-drug program in a pretest-posttest nonequivalent groups design involving two schools.

In the example of an anti-drug program evaluation using a pretest-posttest nonequivalent groups design, which general confounding variables are specifically ruled out by comparing the attitude changes between the treatment school and the control school?

In the anti-drug program study example involving two separate schools, the researcher must assume that the students in the treatment group and the control group were exactly equal in their attitudes toward drugs before the study began.

A researcher evaluates an anti-drug program by comparing student attitude changes in one school that receives the program to a similar school that does not. If the researcher finds that students in both schools showed an identical improvement from a mean attitude score of $M = 4.5$ to $M = 6.0$, they must judge the program as _____, as the results suggest that general factors like maturation or widespread historical events caused the change in both groups equally.

A researcher conducts the anti-drug program study using a pretest-posttest nonequivalent groups design. Match each possible study outcome to the methodological interpretation it best supports.

In the anti-drug program study, including a control school that completes the pretest and posttest but does NOT receive the program allows researchers to estimate how much attitude change would have occurred due to _____ (e.g., students' reasoning improving naturally with age) and history (e.g., news of a celebrity drug overdose), so that any additional change in the treatment school can be more confidently linked to the program.

Rank the following pieces of reasoning from the one that provides the WEAKEST support (rank 1) to the one that provides the STRONGEST support (rank 4) for concluding that the anti-drug program—rather than a confound—caused the observed attitude change.

Recall the design of the anti-drug program evaluation described in the pretest-posttest nonequivalent groups design example. Outline the steps taken by the students in both the treatment school and the control school, and state which specific confounding variables this design helps to rule out by comparing attitude changes.

Based on the provided context of the pretest-posttest nonequivalent groups design, explain why the researcher cannot conclude that the anti-drug program caused the change in attitudes. What does the equal change in both groups suggest about the influence of maturation or history?

Suppose a researcher is planning to evaluate a new anti-drug initiative using a pretest-posttest nonequivalent groups design across two local schools. How should the researcher construct the nonequivalent control group to maximize the design's ability to rule out confounds like maturation and history?