| Course | PU615 Grant Writing for Health Promotion Projects |
|---|---|
| Unit | Unit 8 |
| Paper type | Evaluation section |
| Length | About 860 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | Master of Public Health (MPH) |
| Updated | October 2026 |
Free sample paper for PU615 Unit 8
A Photograph With the Serial Number in It: A Unit 8 Evaluation Section Built on Verification a Reviewer Can Audit, With the Outcome the Award Period Cannot Measure Stated in the First Paragraph
[Student Name]
Purdue University Global
PU615: Grant Writing for Health Promotion Projects
Unit 8 Evaluation Section
[Instructor Name]
[Date]
Brackley County and its figures are composite; the verification approach, the measurement limits and the research cited are real.
What This Evaluation Will and Will Not Measure
It will not measure a change in overturn deaths or injuries. Brackley County averaged 0.4 deaths and 1.1 hospitalized overturn injuries a year over the past decade; a program retrofitting 38 of 126 eligible machines might prevent one event in a decade, and no two-year design can detect that. Reporting a before-and-after count as evidence would mislead in whichever direction it happened to fall. It will measure installations verified, operators reached, cost-share delivered, and two intermediate changes that the program's logic requires before any injury effect could occur.
Measure One: Verified Installations
Definition: a structure fitted to manufacturer specification with a seat belt, evidenced by an installer invoice and a photograph showing the structure and the tractor's serial number. Source: program file, one record per machine. Target 38 by month 22, with 70 installations funded across two years in the budget and 38 as the objective because the budget carries a reserve for higher-cost models. Why it is the central measure: it is the exposure change the whole program exists to produce, and a fitted structure used with its belt removes most of the danger an overturn presents, so each verified installation is a lasting reduction in risk for that machine rather than a service contact (Murphy et al., 2010).
Measure Two: Share of Eligible Machines Retrofitted
Definition: verified installations divided by 126 retrofittable machines identified in the extension inventory. Source: program file over inventory. Target 30 percent, taken from the midpoint of what evaluated incentive programs have achieved rather than from the best reported figure (Sorensen et al., 2011). Why both measures: a count without a denominator cannot be compared with any other program, and the denominator is the one number this county actually knows. The inventory is what turns a count of retrofits into a coverage figure, which is why its maintenance is funded rather than assumed.
Measure Three: Reach
Definition: operations receiving a direct conversation, not a mailing, recorded with date and operator. Source: outreach worker log, audited quarterly against mileage claims, which is a cross-check a reviewer will recognize. Target 110 of 214 operations by month 12.
Measure Four: Cost-Share Delivered and Out-of-Pocket Cost
Definition: mean program share of installed cost, and mean operator payment. Source: installer invoices. Target 70 percent program share and no operator paying above 420 dollars. Why it is an evaluation measure rather than a budget line: if the operator share drifts upward, uptake will fall among exactly the lower-income operators the need statement identified, and the program needs to see that early rather than at closeout.
Measure Five: Knowledge of Kit Availability
Definition: share of contacted operators who can name an available structure for their own machine, from two questions asked at the first visit and again at month 18. Source: outreach log. Baseline 46 percent from 41 interviews, reported as a small sample. Why it is kept small: the program's mechanism is a cost-share and an installer, not persuasion, so this measure exists to detect a failure of the outreach rather than to claim an attitude change.
Measure Six: Unavailable Models
Definition: count of machines for which no structure is commercially available, recorded at the point an operator is told. Source: program file. No target; this is a count the program expects to be about one machine in three locally and which is useful evidence for manufacturers and for the next proposal.
Data Collection, Who and When
Outreach workers record visits and the two questions in the field, weekly. The coordinator verifies invoices and photographs within seven days of each installation and submits payment. The evaluation consultant, 40 hours a year, builds the quarterly report template, audits a 10 percent sample of records against source documents, and writes the annual report. Extension maintains the inventory denominator.
Reporting and the Sentence Drafted in Advance
Quarterly progress reports carry measures one, three and four. Annual reports add two, five and six. The final report includes a sentence written now: the program does not attribute any change in overturn deaths or injuries during the award period to its activity, because the event rate is too low for such a claim. Writing it in advance means a quiet two years cannot be presented as a result.
Three Threats to These Measures
Self-report in the outreach log, which the mileage cross-check and the 10 percent audit are there to limit. Attrition in the month-18 questions, since the operators hardest to revisit are likely those who declined. And an installer who photographs the structure before the belt is fitted, which the verification protocol addresses by requiring both in the same frame and which has been the documented weak point of retrofit programs elsewhere (Sorensen et al., 2008).
References
Murphy, D. J., Myers, J., McKenzie, E. A., Cavaletto, R., May, J., & Sorensen, J. (2010). Tractors and rollover protection in the United States. Journal of Agromedicine, 15(3), 249-263. https://doi.org/10.1080/1059924X.2010.484309
Sorensen, J. A., Jenkins, P. L., Emmelin, M., Stenlund, H., Weinehall, L., & Earle-Richardson, G. B. (2011). The social marketing of safety behaviors: A quasi-randomized controlled trial of tractor retrofitting incentives. American Journal of Public Health, 101(4), 678-684. https://doi.org/10.2105/AJPH.2010.200162
Sorensen, J. A., May, J., Ostby-Malling, R., Lehmen, T., Strand, J., Stenlund, H., Weinehall, L., & Emmelin, M. (2008). Encouraging the installation of rollover protective structures in New York State: The design of a social marketing intervention. Scandinavian Journal of Public Health, 36(8), 859-869. https://doi.org/10.1177/1403494808081653
The Purdue Global PU615 Unit 8 instructions
Unit 8 usually asks for the evaluation plan of your proposal. Define each measure precisely, name its data source, the person who collects it, how often, and the target it is compared with. Distinguish process measures, which describe what the project delivered, from outcome measures, which describe change, and be honest about which outcomes the award period can actually show. Explain how you will check the quality of your data, for example by auditing a sample of records against source documents. Describe reporting: what goes to the funder quarterly, annually and at closeout. Many prompts also ask you to name threats to the validity of your measures and how you will limit them. Keep the plan proportionate to the budget, because an elaborate design on a modest service grant raises its own feasibility questions.
How this PU615 Unit 8 example is built
The evaluation's first section says plainly that injury outcomes are too rare to measure in two years and explains why a before-and-after count would mislead. Six measures follow under numbered headings, each with a definition, source and target, and a sentence explaining why the measure is there. Verified installations are defined to include the belt and evidenced by invoice and photograph. A highlighted line explains that the extension inventory turns a count into a coverage figure. Out-of-pocket cost is treated as an evaluation measure because it decides who the program reaches. The awareness baseline is labeled a small sample. A data-collection section assigns tasks, the reporting plan includes a sentence drafted now, and the threats paragraph covers self-report, attrition and photographs taken before belts are fitted.
Reading the PU615 Unit 8 grading rubric
Grading for this unit in PU 615 typically weights clearly defined, measurable indicators most heavily, followed by data sources and collection responsibilities. Credit goes to measures that align with your objectives, so a reader sees the same targets in both sections. Instructors reward realism about what can be detected within the grant period, and they deduct for promised health outcomes that the design cannot support. Points are also available for data quality controls, a reporting timeline and a discussion of threats to validity with planned responses. An evaluation that relies only on participant satisfaction usually scores poorly. Proportion matters too: the plan should fit the budget and the consultant hours paid for it. Clear organization and APA citations make up the final portion, with headings that let a grader find each measure fast.
Common PU615 Unit 8 mistakes, and how to avoid them
A typical problem is a single sentence stating that data will be collected and analyzed, which tells a reviewer nothing. Each measure needs a definition, source, collector and schedule. Another is promising a reduction in deaths, disease or injury that a short grant cannot detect; measure the intermediate change and say why it matters. Students also forget denominators, so a count of services cannot be compared with anything. Avoid evaluation measures that the budget does not pay to collect. Self-reported data should have some cross-check. And do not treat performance reporting required by the funder as the whole evaluation, since the two answer different questions. Tell us what your project delivers and the outcome you hope for, and we will draft measures, sources and a reporting plan around it.
Get a PU615 Unit 8 example written to your instructions
An evaluation can only measure what the objectives promised, so include them with the PU615 Unit 8 prompt and the funder's evaluation requirements. The matrix in the free first custom sample carries those objectives unchanged, specifies sampling and data sources, names who collects what, and states what the design cannot show. Turnaround is 24-48 hours. 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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PU615 Unit 8 questions, answered
Does a grant evaluation need a comparison group?
Not always. Many service grants accept a design that tracks the people served against baselines and targets, especially at modest funding levels. What reviewers expect is honesty about the design's limits. If a comparison is feasible, such as a neighboring county or a prior year, include it; if not, say why and describe what the evaluation can still establish.
How is evaluation different from performance reporting?
Performance reporting counts what the funder requires every recipient to report, often on a fixed template. Evaluation asks whether your project worked and why, using methods chosen for its own objectives. A strong section shows that the two overlap where they can, so data are collected once, and explains what the evaluation adds beyond the required counts.
How specific should the data collection plan be?
Specific enough to name the source, the person responsible, the timing and the tool for every indicator. A phrase like 'data will be collected and analyzed' tells a reviewer nothing. Naming a clerk who enters charts weekly, or a sample drawn by a stated rule, is what convinces a panel that the evaluation will actually happen.
Where can I find a free PU615 Unit 8 sample paper?
This page holds the entire Unit 8 evaluation section, with six defined measures, the verification protocol and margin notes on each choice.
Why not measure overturn deaths?
The county averages fewer than one overturn death a year, so no two-year design can show a change. A before-and-after count would mislead, so the evaluation measures verified retrofits instead.