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Outcome Evaluation Design Paper

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Now that we have identified the outcome evaluation design we will need to determine the best method of capturing program data. Accurate program data is essential to establish program effectiveness and convey credibility of study findings. Once we have captured this data, our group will have to organize and present it in a manner that is easily understood by various groups of stakeholders with diverse educational backgrounds and agendas. An important step in data collection is identifying which variables are dependent and which are independent. A dependent variable is subject to change due to the influence of an independent variable. Our group has identified some of the independent and dependent variables associated with our program intervention which are outlined in the table below. As shown in the table, demographic factors are independent variables as they are not subject to change but should be taken into account during data collection. Dependent variables such as disease attitude and willingness to participate in diabetic testing are dependent variables as they may be affected by the number of brochures distributed or the number of surveys given. Consumption of fresh fruits and vegetables may be effected by the type and quantity distributed and through awareness created by the educational …show more content…

For the purpose of our program we will have to employ each of these methods of data capture. For instance, we would use nominal level measures to capture data regarding sex and ordinal measures to capture how likely a person is to consume more fruits and vegetables after receiving the informational brochure. Since some of our data is being compared at different points in time interval level measures will need to be implemented. Ratio level measures could be useful to capture which interventions; surveys, brochures, and advertising most effected behavioral

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