D585 Program Evaluation is a three-unit course in WGU's Bachelor of Science in Public Health, placed in term five. WGU describes it as familiarizing learners with approaches to evaluating an evidence-informed health program or intervention in a public health setting.
The topics include logic models and evaluation frameworks, process and outcome metrics, qualitative and quantitative data collection, and strategies for sharing results.
Students typically find the course demanding because it asks for judgment as well as method: choosing what to measure, reading the data fairly and presenting findings for different audiences.
Course at a Glance
| Item | Details |
|---|---|
| University | Western Governors University |
| Course code | D585 |
| Level | Undergraduate |
| Subject area | Public health evaluation |
| Standard path | Term 5 of the BS Public Health guidebook (3 competency units) |
| Typical work | An evaluation plan, data interpretation and a dissemination strategy |
What D585 Covers
| Competency (WGU wording, summarized) | What it means in practice |
|---|---|
| Develops an evaluation plan to determine program effectiveness | Questions, indicators, data sources and timing |
| Analyses data to determine success or need for improvement | Reading results against targets and explaining gaps |
| Develops a dissemination strategy based on program evaluation | Choosing audiences, formats and key messages |
Key Concepts Explained
Logic Models
A logic model lays out the chain from inputs and activities to outputs and short-, medium- and long-term outcomes. It makes assumptions visible and shows where to measure.
Process Versus Outcome Measures
Process measures show whether the program was delivered as planned, such as sessions held or participants reached. Outcome measures show whether participants or the community changed, such as knowledge or behavior. A good plan uses both.
Illustration (hypothetical): A school nutrition program. Process: number of classes delivered and attendance. Outcome: change in the share of pupils who report eating fruit daily, compared with a baseline survey. Reporting only attendance would not show whether the program worked.
Mixed Data
Quantitative data answers how many and how much. Qualitative data explains why. Combining them gives a fuller picture and supports balanced conclusions.
Typical Assignments and How to Approach Them
| Task type | What it tests | How to approach it |
|---|---|---|
| Evaluation plan | Design thinking | Link each question to an indicator and data source |
| Data analysis | Interpretation | Compare to targets and discuss limits honestly |
| Dissemination strategy | Communication | Tailor messages for funders, staff and the community |
What a Strong Evaluation Plan Contains
A convincing plan follows a clear logic from questions to decisions. Begin with the evaluation questions, then list indicators, data sources, collection methods, timing and who is responsible. Add how you will analyze the data and how results will feed decisions about continuing, changing or ending the program.
| Element | Example of detail |
|---|---|
| Question | Did participants improve their knowledge? |
| Indicator | Score change between pre- and post-session surveys |
| Method | Short written survey |
| Timing | First and last session |
Reporting and Dissemination
The third competency expects a strategy for sharing results. Think about the audiences in turn: funders want evidence of impact and value, program staff want practical lessons, and community members want plain-language findings and a say in next steps.
Choose formats to match, such as a short report for funders, a briefing for staff and a visual summary for the community. Include honest limitations, because credible evaluation reports admit what they could not measure.
Self-Check Before You Submit
Reread your work with an evaluator's eye. For each competency, can you point to the paragraph that answers it?
- Do your questions match the logic model, with an indicator for each?
- Have you included both process and outcome measures?
- Does your data interpretation compare results with targets and explain gaps?
- Does the dissemination plan name audiences, formats and key messages?
Finally, check your limitations section. Honest statements about sample size, missing data or short follow-up make findings more trustworthy.
Pacing a Competency-Based Course
Each WGU course is passed by showing competency, which WGU equates to a B or better, so a first draft that misses a rubric aspect is normally revised and resubmitted.
For Program Evaluation, that means building the plan in layers: questions first, then indicators, then methods, then reporting. Reviewing each layer against the rubric before moving on usually saves a full revision cycle.
Where Students Get Stuck
- Measuring outputs only. Add outcomes that show change.
- No baseline. Without a starting point, change cannot be shown.
- Over-claiming. Be careful with causal language when other factors could explain results.
- One-size-fits-all reporting. Different audiences need different formats.
Study Tips for D585
- Sketch the logic model first, then derive questions and indicators from it.
- Keep a table of indicator, data source, method and timing.
- State limitations plainly; evaluators value honesty.
- Review D581 notes on research design and ethics.
How We Help with D585
Send the prompt, rubric and any data. We can prepare a custom plan, explain how to read results, or review your draft. See our public health research paper help guide for related support.
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Frequently Asked Questions
Evaluating an evidence-informed health program using frameworks, metrics, data collection and dissemination.
WGU does not state that, but reusing a topic helps planning and evaluation fit together.
A diagram of the chain from inputs and activities to outputs and outcomes.
Process shows delivery; outcome shows change in people or conditions.
Yes. One WGU competency is developing a dissemination strategy based on the evaluation.
No. We provide tutoring, custom answers, editing and feedback only.