HW499 Unit 8 Evaluation Framework Example

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Writing down which findings would count against a program before it starts is the core of this HW499 Unit 8 evaluation framework. Purdue Global HW 499 asks BS in Health and Wellness students to design an evaluation that could show their capstone program failing. Built for the six park sites, a five-row matrix measures active minutes, presence at 3:20, staff leading play, elimination games and whether the block was held, using the October observation protocol. The two-wave launch provides a February comparison between sites that have started and sites that have not. Targets for May and four disconfirming findings are set in advance, with training revised if February shows little gain.

CourseHW499 Bachelor's Capstone in Health and Wellness
UnitUnit 8
Paper typeEvaluation framework
LengthAbout 870 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramBS in Health and Wellness
UpdatedOctober 2026

Free sample paper for HW499 Unit 8

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The Findings That Would Count Against It: A Unit 8 Evaluation Framework for Moving Afternoons

[Student Name]

Purdue University Global

HW499: Bachelor's Capstone in Health and Wellness

Unit 8 Evaluation Framework

[Instructor Name]

[Date]

Cotter Bend, Moving Afternoons and every figure are composite; the observation tools, evaluation framework and after-school research cited are real.

What this part is doingPromising to name disconfirming findings in the lead tells the grader the framework is designed to test the program, not to praise it.
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Evaluation Questions

1. Did children at Moving Afternoons sites become more active during the program afternoon?

2. Was the program delivered as designed: activity block at 3:20, games from the menu, staff leading play?

3. Did changes appear first at the sites that launched first?

The framework draws on RE-AIM's attention to whether a program is implemented as intended, not only whether outcomes change (Glasgow et al., 1999).

Evaluation Matrix

Each row gives the measure, data source, collection rounds and recorder.

1. Estimated active minutes for the average child each afternoon. Source: direct observation using the same protocol as the October baseline, modeled on SOSPAN (Weaver et al., 2014). Rounds: October baseline, February, May. Recorder: the two trained observers.

2. Share of enrolled children present when the 3:20 block begins. Source: sign-in and sign-out sheets. Rounds: February, May. Recorder: site supervisors, checked by the program manager.

3. Staff leading, joining or encouraging play. Source: observation scans. Rounds: October, February, May. Recorder: observers.

4. Elimination formats observed. Source: observation notes. Rounds: October, February, May. Recorder: observers.

5. Activity block held as scheduled. Source: site logs. Rounds: monthly. Recorder: site supervisors.

The Comparison

In February, three sites will have run Moving Afternoons for about five weeks and three will not yet have started. Observers will visit all six sites in the same two weeks. Because wave assignment was made by drawing names, the program manager did not choose which sites went first. The February comparison, wave one against wave two in the same weeks and weather, is the strongest test available. It is not a randomized trial of children, and with only three sites in each group, it can show a pattern but not prove a cause.

The May round shows whether wave two sites caught up after starting in March and whether wave one sites kept their gains.

Targets

1. Activity: 24 active minutes for the average child each afternoon by May, up from 14.

2. Presence: at least 90 percent of enrolled children present when the 3:20 block begins.

3. Staff practice: staff coded as leading, joining or encouraging play in at least half of scans during the block, up from about one in five.

4. Elimination formats: none observed during the block.

The activity target is ambitious but grounded: programs studied elsewhere have reached about 20 minutes (Trost et al., 2008), and games that keep children involved raise activity substantially (Brazendale et al., 2015).

What Would Count Against the Program

If, in February, wave one sites show no more activity than wave two sites, or if staff are still supervising from the side in most scans, the framework treats that as evidence that the training is not working and sends it back for redesign before wave two begins in March.

What this part is doingThe highlighted sentence states the disconfirming result in advance, which is the framework's most important commitment.
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Specific findings that would count against the program:

1. February: wave one sites average fewer than 4 more active minutes per child than wave two sites.

2. February: staff at wave one sites lead or join play in fewer than a third of scans.

3. May: wave one sites fall back toward their October levels.

4. Any round: elimination games observed during the activity block at more than one site.

If finding 1 or 2 occurs, training is revised in February, before wave two launches. If finding 3 occurs, the coaching visits are increased in year two.

What the Evaluation Cannot Show

It cannot show that children became more active outside the program, since they may compensate at home. It cannot show health outcomes such as weight or fitness. And because observation records groups, not individuals, it cannot show which children benefited most. The evidence review found the same limits across the published studies.

What this part is doingRestating the review's limits in the evaluation keeps the project's eventual claims within what it measured.
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Why Observation Rather Than Devices

Fitting children with accelerometers would give more precise individual data, but it would require parental consent for each child, device management at six sites and a research budget the department does not have. Direct observation, by contrast, records groups without identifying anyone, uses staff the department already employs and matches the method used at baseline. The trade-off is precision for feasibility, and the framework accepts it because the question it asks, whether the afternoon as a whole became more active, is a group-level question.

Observer Quality

The same two observers who conducted the October baseline will conduct every round, using the same protocol. At the start of each round, they will observe one session together and compare counts before splitting up, to confirm they are still recording the same way. Observers will not be told which sites are in which wave, though this may become apparent from the schedule.

Reporting

A short February report goes to the program manager within a week, so any redesign can happen before March. The May report goes to the department director and includes all four targets, the comparison and the limits above.

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References

Brazendale, K., Chandler, J. L., Beets, M. W., Weaver, R. G., Beighle, A., Huberty, J. L., & Moore, J. B. (2015). Maximizing children's physical activity using the LET US Play principles. Preventive Medicine, 76, 14-19. https://doi.org/10.1016/j.ypmed.2015.03.012

Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89(9), 1322-1327. https://doi.org/10.2105/AJPH.89.9.1322

Trost, S. G., Rosenkranz, R. R., & Dzewaltowski, D. (2008). Physical activity levels among children attending after-school programs. Medicine & Science in Sports & Exercise, 40(4), 622-629. https://doi.org/10.1249/MSS.0b013e318161eaa5

Weaver, R. G., Beets, M. W., Webster, C., & Huberty, J. (2014). System for Observing Staff Promotion of Activity and Nutrition (SOSPAN). Journal of Physical Activity and Health, 11(1), 173-185. https://doi.org/10.1123/jpah.2012-0007

Reading the HW 499 Unit 8 instructions

In Unit 8 the question becomes how the capstone program will be judged once it runs. Prompts usually expect evaluation questions, a matrix of measures with sources and timing, a comparison or design, targets and a statement of limits. Use the same measures as your baseline so results are comparable. Track whether the program actually ran as planned, not only what changed. Build in a comparison if possible, such as a staggered launch. Set targets grounded in evidence. Name the results that would count against the program, and say what you would do if they appeared. State what the evaluation cannot show. Plan reporting so findings arrive in time to act on them. Six to seven pages with a matrix is common.

How this HW499 Unit 8 example is built

Three evaluation questions open the framework, linked to RE-AIM. A five-row matrix gives each measure's source, rounds and recorder. A section explains the February comparison between waves and why it suggests rather than proves. Four targets follow with their evidence. The section on what would count against the program states, in the highlighted sentence, the February result that would send training back for redesign, then lists four disconfirming findings with responses. Sections explain what the evaluation cannot show, why observation was chosen over devices, how observer quality is kept consistent and when reports reach the program manager and the director. Reporting dates are set so February's findings arrive before the second wave starts.

Where the points sit in the HW499 Unit 8 rubric

Rubrics for HW499 evaluation frameworks usually give the most weight to alignment between measures and objectives, and to a design that can detect whether the program worked. Points go to measuring delivery as well as outcomes, using baseline-comparable methods and building in a comparison. Pre-set targets and disconfirming findings earn substantial credit under rigor. Honest statements of what the evaluation cannot show are scored under critical thinking. Practical details, such as observer consistency and reporting timelines, count under feasibility. A readable matrix and correct APA close out the scoring. Frameworks that measure only satisfaction or set no failure criteria typically lose points. Linking each disconfirming finding to a specific response is what separates a strong framework from a list of hopes.

HW499 Unit 8 help from the desk

Capstone evaluations often measure whether participants liked the program rather than whether it changed what it set out to change. Another weakness is using different methods at follow-up than at baseline, which makes comparison meaningless. Students rarely build in a comparison, even when a staggered launch would make one easy. Failure criteria are almost never written down. Reports are often scheduled too late to fix anything. When a design is settled and the evaluation still has no way to show failure, the baseline methods and objectives are the place to begin, and the matrix can be built row by row from them.

Get an HW499 Unit 8 example written to your instructions

Paste in the objectives exactly as the design states them, name the baseline method your needs assessment used, and add the Unit 8 prompt with its rubric. The framework keeps that baseline method, defines before launch the results that would count as failure, and lists the outcomes it will not claim. Delivered inside 24-48h; first request free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

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HW499 Unit 8 questions, answered

Is a comparison group required in a capstone evaluation?

Rarely required, but some comparison strengthens any claim that the program caused a change. Staggered launches, neighboring sites or the same sites in a previous year are common options when random assignment is impossible. Whatever you choose, describe its weakness honestly; graders credit a limited comparison stated plainly over a strong one claimed without support.

Why set failure thresholds before launch?

Because once data exist, nearly every result can be framed as partial success. A threshold set before launch gives the evaluation a rule to apply, and it tells a funder the program will be judged honestly. Committing to numbers you know will be checked also tends to keep targets realistic. Pair each threshold with the action it would trigger.

Can the evaluation include outcomes the program is unlikely to change in a year?

It can mention them, but it should not promise them. If the evidence review found that effects on something like weight are inconsistent, listing weight as an outcome invites a result the program cannot deliver. Name such outcomes as excluded or long-term, explain why, and keep the reported results to what the design can reasonably change.

Where can I find a free HW499 Unit 8 sample paper?

This page presents a complete Unit 8 evaluation framework for Moving Afternoons, with a matrix, a two-wave comparison, disconfirming findings and APA references.

What happens if February shows no gain?

If the first three sites show little more activity than the sites not yet started, or staff are still mostly supervising from the side, the training is revised before the second wave begins in March.