| Course | PHLT 8044 Advanced Program Evaluation |
|---|---|
| Week | Week 3 |
| Paper type | Logic model |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | PhD in Public Health |
| Updated | October 2026 |
Free sample paper for PHLT 8044 Week 3
Logic Model for a State School Water Access Program: From Station Installation to Healthier Weight, With Every Intermediate Result and Assumption Kept in the Chain
Student Name
Walden University
PHLT 8044: Advanced Program Evaluation
Instructor Name
Month Day, Year
Logic Model for a State School Water Access Program: From Station Installation to Healthier Weight, With Every Intermediate Result and Assumption Kept in the Chain
Why the Middle Matters
A four-box logic model of this program is easy to draw: funds and staff, stations installed, students drink more water, healthier weight. Every box could be accurate while the program fails, because the boxes skip the steps where programs usually break. A station can be installed in a hallway no one uses; students can drink more water and keep buying sugary drinks; total intake can rise at school and fall at home. This logic model keeps the middle, listing each result that must occur between installation and health, and the assumptions on which each step depends. It draws on the evaluability assessment, which found the water and sugary drink goals plausible and the weight goal doubtful in the current design, and on guidance that logic models should make a program's theory of change testable (Centers for Disease Control and Prevention [CDC], 1999).
The Model
Table 1
Logic Model for the School Water Access Program
| Stage | Elements | |
|---|---|
| Inputs | State appropriation; program manager and two field staff; station vendor contract; reusable bottles; promotion materials; school facilities staff time | |
| Activities | Select sites with principals; install filtered bottle-filling stations; replace filters on schedule; distribute a bottle to each student; run a two-week fall promotion; report meter counts monthly | |
| Outputs | Stations installed and working; bottles distributed; promotion delivered in each school; filters replaced on time | |
| Short-term outcomes | Students know where stations are; students see station water as safe and cold; teachers allow bottles in class; students carry bottles | |
| Intermediate outcomes (school day) | Students refill during the day; water intake at school rises; water replaces some sugary drinks at lunch; cafeteria sugary drink purchases fall | |
| Intermediate outcomes (whole day) | Total daily sugary drink intake falls rather than shifting to after school; total energy intake from beverages falls | |
| Long-term outcomes | Slower weight gain relative to expected growth; lower prevalence of overweight; habits of water drinking that persist | |
Note. Outcomes are ordered so that each depends on those above it; the evaluation can test any link by measuring the results on either side of it.
The Links and Their Assumptions
From Outputs to Short-Term Outcomes
A working station is not a used one. Students must know where stations are, trust the water and be allowed to carry bottles. The assumption that students trust filtered school water is not trivial: in schools with past water quality problems, students and families may avoid tap water entirely. The assumption that teachers allow bottles in class varies by school policy. Placement matters too; a review of school water strategies found that location and appeal shape whether students drink (Patel & Hampton, 2011).
From Short-Term to School-Day Outcomes
The step from carrying a bottle to drinking more water during the day is the most supported link in the chain. Making water convenient and appealing at lunch increased the share of students drinking it (Kenney et al., 2015). The next step, water replacing sugary drinks, depends on where stations are relative to where drinks are bought. A station beside the cafeteria line competes directly with bottled sugary drinks; one at the far end of a hallway does not.
From School Day to Whole Day
This is the link most often skipped, and the one most likely to break. A student who drinks water at school may make up for it with a sugary drink after school, a pattern called compensation. If compensation is common, school-day gains produce no change in total intake. Measuring whole-day intake, through a student survey or dietary recall in a sample, is the only way to test it.
From Whole Day to Weight
Even if total sugary drink intake falls, the effect on weight depends on the size of the reduction and whether other calories replace those removed. Trials that found effects on overweight combined water provision with education over a full school year (Muckelbauer et al., 2009), and a natural experiment in New York City schools found small reductions in weight after water jets were installed in cafeterias (Schwartz et al., 2016). A two-week promotion and hallway stations may not deliver an effect of that size.
Where the Chain Is Likely to Differ
The same chain will not hold equally in every school, and the model flags three conditions that could change it. In schools where students and families distrust tap water, often because of past water quality notices, the step from installed station to trusted water may fail regardless of filtration, so effects there could be small. In schools that still sell sugary drinks in vending machines outside the cafeteria, a reduction at lunch could be offset by vending purchases later in the day. And in lower-income schools, where baseline sugary drink intake tends to be higher, there may be more room for change. Recording these conditions for each school lets the evaluation test whether the program works better in some settings than others, instead of averaging those differences away.
External Factors
Forces beyond the program's control could also create or hide change: vending contracts and district beverage policies, sugary drink taxes in some cities, school schedules that limit time to refill, hot weather that raises water intake regardless of the program, and family beverage habits. The model notes them so that the evaluation design can account for them, for example by comparing program schools with similar schools that do not yet have stations.
Using the Model
The model identifies where the evaluation should look. Implementation questions sit at the output and short-term levels: are stations working, used and trusted? Effectiveness questions sit at the school-day and whole-day levels, which the evaluability assessment found measurable. The weight outcome sits at the end of the chain, where the program's design makes an effect least likely; measuring it is worthwhile only if the earlier links hold. Rossi et al. (2019) describe this kind of program theory as the basis for deciding which evaluation questions to ask first, which the next assignment takes up.
References
Centers for Disease Control and Prevention. (1999). Framework for program evaluation in public health. MMWR Recommendations and Reports, 48(RR-11), 1-40.
Kenney, E. L., Gortmaker, S. L., Carter, J. E., Howe, M. C. W., Reiner, J. F., & Cradock, A. L. (2015). Grab a cup, fill it up! An intervention to promote the convenience of drinking water and increase student water consumption during school lunch. American Journal of Public Health, 105(9), 1777-1783. https://doi.org/10.2105/AJPH.2015.302645
Muckelbauer, R., Libuda, L., Clausen, K., Toschke, A. M., Reinehr, T., & Kersting, M. (2009). Promotion and provision of drinking water in schools for overweight prevention: Randomized, controlled cluster trial. Pediatrics, 123(4), e661-e667. https://doi.org/10.1542/peds.2008-2186
Patel, A. I., & Hampton, K. E. (2011). Encouraging consumption of water in school and child care settings: Access, challenges, and strategies for improvement. American Journal of Public Health, 101(8), 1370-1379. https://doi.org/10.2105/AJPH.2011.300142
Rossi, P. H., Lipsey, M. W., & Henry, G. T. (2019). Evaluation: A systematic approach (8th ed.). SAGE.
Schwartz, A. E., Leardo, M., Aneja, S., & Elbel, B. (2016). Effect of a school-based water intervention on child body mass index and obesity. JAMA Pediatrics, 170(3), 220-226. https://doi.org/10.1001/jamapediatrics.2015.3778
The Walden PHLT 8044 Week 3 instructions
The third assignment usually asks for a logic model of the program students are evaluating, with an explanation of the theory behind it. Faculty expect more than inputs, activities, outputs and a distant outcome: the intermediate results that must occur for the program to work should appear, ordered so that each depends on the one before. Assumptions linking each stage should be stated, since they are what an evaluation tests. External factors that could produce or mask change belong in the model or its notes. Strong submissions explain which links are well supported by evidence and which are uncertain, and they show how the model will guide the choice of evaluation questions. A table or diagram plus about three pages of explanation is common.
How this PHLT 8044 Week 3 example is built
An opening section explains how a four-box model could be true at every box while the program failed. A seven-row table lists inputs, activities, outputs, short-term outcomes, school-day outcomes, whole-day outcomes and long-term outcomes. Subsections then take each link: from working stations to trusted and used stations, citing a review of school water access barriers; from carrying bottles to drinking more water and replacing sugary drinks, citing a cafeteria convenience study; from school day to whole day, where compensation may break the chain; and from whole-day intake to weight, citing two trials. A section identifies schools where the chain may differ, another lists external factors, and a final section maps the model's levels to the evaluation questions that come next.
PHLT 8044 Week 3 rubric: what earns full marks
Credit rests on the intermediate results and assumptions. A model that jumps from outputs to health outcomes earns little, however neat its diagram. Graders look for the links most likely to fail identified explicitly, here compensation outside school, and for assumptions stated in testable terms. Evidence supporting or questioning each link should be cited accurately. External factors and conditions under which the chain may differ show the model has been thought through rather than drawn from a template. The model should connect to evaluation questions, demonstrating its purpose. Clear formatting, with outcomes ordered by dependency and a note explaining the order, is part of the grade, as is consistency with the evaluability assessment's findings.
PHLT 8044 Week 3 help: mistakes that cost marks
Logic models often skip from what a program does to the health outcome it hopes for. Fill in every result that must happen in between, and write the assumption that connects each pair. Ask which link you would bet against, and say why. Note the external factors that could produce or hide change. Show which evaluation questions each level suggests. Mark the link you expect to break so that the evaluation can test it first. Programs with longer causal chains benefit most from this kind of model.
Get a PHLT 8044 Week 3 example written to your instructions
Supply the Week 3 prompt and rubric; say too whether your section expects a chain, columns or a template of its own. The logic model is returned within 24-48h, a first request carrying no fee, in an editable format. A program of your choosing replaces the sealant example once you name it; until then the example stays hypothetical.
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PHLT 8044 Week 3 questions, answered
Does the model need the Funnell and Rogers format?
No. The outcomes chain is one well-known way to show each result resting on its predecessor. If your section requires columns, the same seven results can sit across the outputs and outcomes columns, provided the short and medium term entries include consent and retention. What matters is that nothing in the middle disappears.
Where can I find a free PHLT 8044 Week 3 sample paper?
This page reproduces the complete Week 3 logic model for a school water access program, with seven stages, the assumption beneath each link and the conditions under which the chain may differ.
Why separate school-day and whole-day outcomes?
Students may drink more water at school and make up for it with sugary drinks afterward. Keeping the two levels apart lets the evaluation test whether that compensation happens.
Why is weight placed at the end of the chain?
Because it depends on every earlier link holding, and the program's design makes a measurable weight effect unlikely in one year. Placing it last shows why it should be judged only after earlier links are confirmed.
Does the model need a particular format?
No. An outcomes chain is one common way to show each result resting on its predecessor; if your section requires a column-based template, the same elements can be arranged that way.