Question 17

Pretest-posttest design is the appropriate research method.

The pretest-posttest design allows the researcher to collect data before and after the implementation of the 'Walk at Lunch' program, effectively measuring participation changes over time due to the program.

A) Pretest-posttest

This option is correct as it involves gathering data from participants before the program starts and then again after it has been implemented. This method enables the researcher to identify any changes in participation levels attributable to the program itself, thus directly assessing its impact.

B) Cross-sectional

The cross-sectional method collects data at a single point in time, which would not allow the researcher to measure changes over time related to the 'Walk at Lunch' program. This approach is unsuitable for assessing the influence of a program that is expected to alter behavior or participation levels.

C) Time-series

While the time-series method involves taking multiple measurements over time, it does not specifically focus on a pretest and posttest scenario. This method may track trends, but it lacks the direct comparison of before and after that is crucial for evaluating the impact of the program.

D) Randomized control trial

A randomized control trial involves randomly assigning participants to either a treatment or control group to determine the effect of an intervention. However, it is not the best fit for this scenario since the researcher is not looking to compare different groups but rather to assess the same group before and after the program.

Conclusion

The pretest-posttest design is the most appropriate method for this research as it directly measures the changes in participation due to the 'Walk at Lunch' program. Other methods, such as cross-sectional and time-series, do not provide the necessary before-and-after data, while randomized control trials focus on group comparisons rather than individual changes. Thus, option A effectively meets the research objectives.