Reference no: EM133656849
Question: For this discussion, let's consider an area of clinical practice interest in the adult population: managing Type 2 Diabetes Mellitus (T2DM). A significant proportion of adults worldwide are affected by T2DM, making it a critical area of interest (CDC, 2021).
A research study in this population might examine the impact of a structured diet and exercise program on glycemic control in adults with T2DM. In this study, the independent variable would be the structured diet and exercise program, while the dependent variable would be the level of glycemic control, as indicated by HbA1c levels.
Extraneous variables could include the participants' age, gender, duration of diabetes, comorbidities, adherence to medication, and individual dietary preferences. We could control for these extraneous variables by using a matched pair design, ensuring that each participant in the intervention group has a counterpart in the control group that matches their characteristics (Polit & Beck, 2017).
The potential threat to internal validity could be attrition if participants drop out of the study due to the demands of the exercise and diet program. This threat can be mitigated by ensuring a robust follow-up system and motivational support for the participants.
Potential threats to external validity include the interaction of selection and treatment if the results only apply to those motivated to participate in such a program. This threat can be minimized by using random sampling from a comprehensive database of T2DM patients to ensure representation of the target population.
The time dimension for data collection is longitudinal, with multiple data collection points over a specific period, for example, six months.