A composite design for evaluating one neighborhood lifestyle program, naming each measure, its collector and its schedule under RE-AIM, as NU505 Unit 9 commonly expects. Searches like "nu 505 unit 9 assignment example", "nu505 unit 9 sample" and "nu505 unit 9 example" land here.
What a finished NU505 Unit 9 program evaluation design looks like
About six pages with a measurement matrix as its core. First, one paragraph describes the program and lists stakeholders by role: health center leadership, lifestyle coaches, the community advisory board and the parks department. The evaluation questions follow, one per RE-AIM dimension. The matrix has five columns, dimension, indicator, data source, collector and frequency, with about a dozen rows. Reach is enrolled adults over the health center's registry count of patients with prediabetes; effectiveness includes mean percent weight loss, the share reaching 5 percent and change in A1c; adoption counts sites and trained coaches; implementation tracks sessions delivered and attendance; maintenance checks outcomes at 24 months and whether funding continues. A design section compares the tracts with two similar tracts using health center data. A timeline and a reporting plan close.
How a NU505 Unit 9 example is structured
The six framework steps give the document its order, from engaging stakeholders through describing the program, focusing the design, gathering evidence, justifying conclusions and ensuring use. RE-AIM operates inside the fourth step, supplying the dimensions that the matrix fills. That layering is stated once so a reader sees why two frameworks appear. The matrix leads the evidence section because the prompt asks for each measure's content, collector and schedule, and a table answers all three at a glance. The comparison design follows, and the document is candid that tracts are not randomized, so a difference in A1c trends between the program tracts and comparison tracts is evidence of effect, not proof. Justifying conclusions sets thresholds in advance, such as the share reaching 5 percent weight loss that would count as success. The use section commits to reporting results to the advisory board in plain language each quarter.
Stakeholders named by role
Leadership, coaches, the advisory board and the parks department are listed with what each needs from the evaluation. Their questions shape which indicators the matrix includes.
RE-AIM inside step four
The framework's evidence step is where RE-AIM enters, supplying five dimensions. The document explains this nesting in two sentences to show neither framework is ornamental.
Reach with a real denominator
Enrolled adults are divided by the registry count of patients with an A1c from 5.7 to 6.4 percent living in the two tracts, so reach is a proportion rather than a headcount.
Weights weekly, A1c quarterly
Coaches record weights at each session; the health center analyst pulls A1c results each quarter; the external evaluator analyzes at 6, 12 and 24 months. Every measure has an owner and a schedule.
Comparison tracts, not randomization
Two tracts with similar income and diabetes prevalence serve as a comparison. The design reports the difference in A1c trends between areas and names the confounding it cannot exclude.
Thresholds set before the data arrive
Success is defined in advance: at least a stated share of completers reaching 5 percent weight loss, and reach above a named proportion. Setting thresholds early protects against reading results generously.
Where marks go in NU505 Unit 9
Framework fit, indicator quality, feasibility of collection and design strength are the usual scoring rows for an evaluation design. Framework marks come from using CDC's steps or RE-AIM actively, not listing them; the example's explanation of how the two nest shows command of both. Indicator quality depends on each measure having a numerator, a denominator and a source. Feasibility is where the prompt's who and how often matter, and a matrix with named roles and schedules earns that row in most sections. Design marks reward candor about what nonrandomized comparison can show, and thresholds fixed before any data arrive tend to read as rigor. Common deductions: evaluations that count attendance and call it effectiveness, reach reported as a raw number, no thresholds for success, and maintenance left undefined.
Get a NU505 Unit 9 example written to your instructions
If your Unit 9 evaluation builds on a plan you wrote earlier, send it with the prompt and your rubric. The design is drafted around that program, following those instructions, each measure given a source, an owner and a schedule. Your first custom sample carries no charge and comes back in 24-48h.
NU505 Unit 9 questions, answered
Is it acceptable to combine CDC's evaluation framework with RE-AIM?
Yes, and many evaluations do. CDC's framework describes the process of planning and carrying out an evaluation, while RE-AIM describes dimensions of impact to measure. The example uses the framework's steps for the document's structure and RE-AIM to fill the evidence step. Saying explicitly how they fit together is what earns credit.
Why does reach need a denominator?
Because enrolling 120 adults means something very different if 200 were eligible than if 2,000 were. Reach is the proportion of the intended population that participates, so the design has to name who was eligible and where that count comes from. The example uses the health center's registry of patients with prediabetes living in the tracts.
How can an evaluation claim an effect without randomization?
It can offer evidence of effect, with caution. Comparing trends in program tracts with similar tracts that did not receive the program controls for changes affecting both, such as a new clinic policy. It cannot rule out differences that arose only in the program area. The example states that limit and still treats a clear difference as meaningful.