In Your Initial Post To The Group Be Sure To Briefly Summari

In Your Initial Post To The Group Be Sure To Briefly Summarize The Pr

In your initial post to the group, be sure to briefly summarize the program you are evaluating, WISEWOMAN, describe which evaluation design you have selected for your project, (mixed-method) and discuss the measurement options you are considering for your project. You should also address the following in your initial post: What indicators are you considering for your evaluations? Have these indicators been used in any other program evaluations for comparison purposes? What types of measurement strategies and assessments will you use? For example, are you considering surveys, assessments, focus groups, or existing administrative data, such as health records?

How will you collect the data you are proposing to gather? Have you found published information on the reliability and validity properties of the instruments or measurements chosen? What reliability and validity concepts are important to consider for your measurement strategy? Submission: 1 page, APA format.

Paper For Above instruction

The WISEWOMAN program is a public health initiative aimed at reducing cardiovascular disease risk factors among underserved women by promoting healthier lifestyles and screening for health conditions such as hypertension and high cholesterol. As part of my evaluation project, I have decided to adopt a mixed-method evaluation design that combines quantitative and qualitative approaches to gain a comprehensive understanding of the program's effectiveness and areas for improvement.

The indicators I am considering for this evaluation include measurable health outcomes such as changes in blood pressure, cholesterol levels, body mass index (BMI), and health behaviors like physical activity and dietary habits. These indicators have been used in previous evaluations of similar health promotion programs, facilitating comparative analysis and benchmarking (Green & Kreuter, 2005). Additionally, process indicators such as participant engagement levels, attendance rates, and completion of screening activities will also be monitored.

To gather quantitative data, I plan to utilize surveys administered at baseline and follow-up intervals. These surveys will include validated instruments such as the Behavioral Risk Factor Surveillance System (BRFSS) questionnaires for health behaviors and standardized clinical measurements for physiological data. Focus groups and semi-structured interviews will serve as qualitative assessment strategies to explore participant experiences, barriers, and facilitators related to program participation.

Regarding data collection, health records and administrative data will be obtained through collaboration with healthcare providers, ensuring access to accurate clinical measurements. Surveys and interview protocols will be administered either in person or via secure online platforms, depending on participant availability and preferences. To ensure the reliability and validity of measurement instruments, I have reviewed existing literature and found that many of the standardized questionnaires and clinical assessment tools possess strong psychometric properties. It is critical to ensure that these tools are culturally appropriate and sensitive to the population being served, which enhances their validity (DeVellis, 2016).

Reliability concepts such as internal consistency (measured by Cronbach's alpha) and test-retest reliability will be prioritized to maintain measurement precision. Validity considerations include construct validity—ensuring that the instruments accurately assess the targeted health behaviors and outcomes—and criterion validity, which involves comparing measurement results with established gold standards when available. By carefully selecting reliable and valid measurement tools and combining different data collection strategies, the evaluation aims to produce credible findings that inform program improvements and policy decisions.

References

  • DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). Sage Publications.
  • Green, L. W., & Kreuter, M. W. (2005). Health Program Planning: An Educational and Ecological Approach (4th ed.). McGraw-Hill Education.
  • Centers for Disease Control and Prevention. (2011). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, GA: U.S. Department of Health and Human Services.
  • Fitzpatrick, A., et al. (2019). Validity and reliability of community health surveys. Journal of Public Health Research, 8(1), 1-8.
  • Hinkin, T. R. (1995). A review of scale development practices in the study of organisations. Journal of Management, 21(5), 967-988.
  • Hanson, M. D., et al. (2015). Measurement reliability in health promotion research. Preventing Chronic Disease, 12, 150123.
  • Rubin, D. B. (2008). Qualitative Data Analysis: An Introduction. SAGE Publications.
  • Sullivan, M., et al. (2017). Assessing measurement validity in public health research. Public Health Reports, 132(1_suppl), 107S-113S.
  • Polit, D. F., & Beck, C. T. (2017). Nursing Research: Generating and Assessing Evidence for Nursing Practice. Wolters Kluwer.
  • Creswell, J. W., & Plano Clark, V. L. (2017). Designing and Conducting Mixed Methods Research. Sage Publications.

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