| Course | ADC 605 Substance Abuse Prevention |
|---|---|
| Module | Module 8 |
| Paper type | Evaluation plan |
| Length | About 1,034 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Psychology and Addiction Studies |
| Updated | October 2026 |
Free sample paper for ADC 605 Module 8
Knowing Whether It Worked: An Evaluation Plan for a County Prevention Program
Student Name
Psychology and Addiction Studies Program, Aspen University
ADC 605: Substance Abuse Prevention
Instructor Name
Month Day, Year
Knowing Whether It Worked: An Evaluation Plan for a County Prevention Program
Tomas's fictional coalition now needs an evaluation to go with its three-year plan. The funder wants to know whether the program worked. The coalition wants to know whether to keep, change or drop each part. This paper sets out an evaluation plan that serves both.
Process and Outcome
Process evaluation asks how the program was delivered: how many people were reached, who they were and how faithfully and well the program was carried out. Outcome evaluation asks whether the program changed what it set out to change: the risk factors in the logic model and, eventually, youth substance use. Both are needed. Outcome results without process data cannot be interpreted, since a null result might mean the program does not work or that it was never properly delivered.
Setting Realistic Expectations
Flay et al. (2005) distinguished efficacy, a program's effects under controlled research conditions, from effectiveness, its effects when delivered in real-world settings, and set standards for each. Efficacy requires rigorous designs, usually randomized trials, with replication. The coalition's programs were selected because they already met efficacy standards. The coalition's evaluation therefore does not need to prove that the programs can work; it needs to show whether they were delivered well in this county and whether local indicators moved in the expected direction.
Why Implementation Must Be Measured
Durlak and DuPre (2008) found that the quality of implementation substantially affects program outcomes. For the coalition, this means tracking whether lessons were delivered as designed, whether families completed the program, whether compliance checks were conducted as scheduled and whether retailers completed training. These data also guide improvement during the program, not only judgment at the end.
What a Rigorous Community Evaluation Looks Like
Hawkins et al. (2009) evaluated Communities That Care through a randomized trial in which twenty-four communities were matched in pairs and one in each pair was randomly assigned to the system. Students were surveyed repeatedly, allowing the researchers to attribute differences to the intervention. Such a design is the strongest test of a community-level program, but it requires many communities, years of funding and research partners. A single county cannot randomize itself.
The Design
The coalition chose a comparison design. It will compare trends in its county's youth survey results with those of three demographically similar Wisconsin counties without comparable programs, using the state survey that all counties administer. It will also compare outcomes for schools that adopted programs in year one with those that adopted in year two. These comparisons cannot rule out every alternative explanation, such as other changes in the county, but they are far stronger than looking at the county alone.
Measures
| Logic model level | Measure | Source | Frequency |
|---|---|---|---|
| Outputs | Lessons delivered with core activities | Teacher fidelity checklists | Each lesson |
| Outputs | Families enrolled and completing | Program records | Each cycle |
| Outputs | Compliance checks completed; retailers trained | Sheriff and training records | Quarterly |
| Short-term outcomes | Rate of sales to minors at checks | Compliance check results | Quarterly |
| Short-term outcomes | Family rules about alcohol; perceived availability | Youth survey items | Every two years |
| Long-term outcome | Past-month alcohol use among tenth graders | Youth survey | Every two years |
Who Collects What
Each measure has an owner. Teachers complete fidelity checklists, which the program trainer reviews. The family program coordinator keeps enrollment and completion records. The sheriff's department reports compliance check results. The state administers the youth survey, and the coalition obtains county and comparison county results from the state's data office. Tomas, as coordinator, assembles the data each quarter and prepares an annual summary. Staff at a nearby university will check the analysis approach and read the first annual report, lending skills the coalition does not have.
Decision Rules
To make evaluation useful, the coalition agreed in advance on what would prompt change. If fidelity checklists show fewer than three quarters of core activities delivered in a school, the trainer will provide extra coaching. If fewer than half of enrolled families complete the family program, recruitment and scheduling will be revisited. If sales to minors at compliance checks do not fall within a year, the coalition will ask enforcement partners to increase frequency.
Using and Sharing Findings
Each year, the coalition will review process data with schools and partners and adjust where implementation is weak. Results will be shared with the school board, county board and families in plain language. The funder report will present process and outcome findings together, stating clearly what the design can and cannot show.
Limits of the Evaluation
Several limits should be stated in advance. Youth surveys rely on self-report and are conducted every two years, so changes in drinking will be visible only twice during the grant. Comparison counties may change in ways the coalition cannot see. Other events, such as a new state law, could affect all counties at once. And short-term indicators, such as sales to minors, may change without a measurable change in drinking within three years. Naming these limits protects the coalition from claiming too much if results are good and from abandoning sound programs if results are slow.
Who the Results Belong To
Evaluation findings belong to the community as well as the funder. The coalition planned to share results with students who took part in surveys, through the high school's leadership council, and with parents through a short newsletter. Young people who see their survey answers lead to visible changes may take later surveys more seriously, improving the data for the next round.
Reflections on the Course
The course moved from the failures of early prevention, through the science of risk and protective factors, to programs at every level, environmental strategies, planning and evaluation. The lesson running through it is that good intentions are not enough: prevention works when it is grounded in evidence, delivered well and honestly evaluated.
Conclusion
An evaluation plan must match its design to its resources and its claims to its design. Flay and colleagues' standards set realistic expectations, Durlak and DuPre show why implementation must be measured and Hawkins and colleagues show what rigorous community evaluation looks like. The coalition's comparison design, implementation measures and plan for sharing findings will tell it what to keep, change or drop.
References
Durlak, J. A., & DuPre, E. P. (2008). Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. American Journal of Community Psychology, 41(3-4), 327-350. https://doi.org/10.1007/s10464-008-9165-0
Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., MoĊcicki, E. K., Schinke, S., Valentine, J. C., & Ji, P. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6(3), 151-175. https://doi.org/10.1007/s11121-005-5553-y
Hawkins, J. D., Oesterle, S., Brown, E. C., Arthur, M. W., Abbott, R. D., Fagan, A. A., & Catalano, R. F. (2009). Results of a type 2 translational research trial to prevent adolescent drug use and delinquency: A test of Communities That Care. Archives of Pediatrics & Adolescent Medicine, 163(9), 789-798. https://doi.org/10.1001/archpediatrics.2009.141
ADC 605 Module 8 instructions, in plain terms
The final module of ADC 605 typically asks for an evaluation plan for a prevention program. Base your plan on the Module 8 instructions in your Aspen course; the coalition here is fictional. Distinguish process and outcome evaluation and explain why each needs the other. Set realistic expectations for what your design can show. Measure implementation as well as outcomes. Choose a design and explain its strengths and limits. Match measures to your logic model. Plan how findings will be used and shared. Reflect on what the course has taught you. Cite each source in APA 7. Say who will collect each measure and when, since an evaluation that depends on volunteers' spare time rarely survives the first year.
How the ADC 605 Module 8 example is put together
Tomas drafts the evaluation that will accompany the composite coalition's three-year program. Flay and colleagues' Prevention Science standards clarify that a local evaluation tests effectiveness in practice, not efficacy. Durlak and DuPre's review shows why implementation must be measured. The matched-community trial run by Hawkins and colleagues shows what a randomized community evaluation can establish. A six-row table matches measures to the logic model, from compliance check rates to tenth-grade drinking. The design compares the county's trends with similar counties, and findings are shared with schools, families and the county board each year. Process data are reviewed annually so that weak delivery can be fixed before the final report.
Reading the ADC 605 Module 8 grading rubric
Evaluation plans earn credit for matching design to resources, measuring implementation and outcomes and planning how findings will be used. This example sets realistic expectations using standards of evidence, separating effectiveness in practice from efficacy. It measures implementation alongside outcomes, which allows the coalition to interpret disappointing results. The comparison design is chosen with its limits stated. Measures follow the logic model from outputs to long-term outcomes, and decision rules say what results will prompt change. Plans for sharing findings make evaluation useful rather than a reporting exercise. The closing reflection integrates the course. Naming who collects each measure makes the plan workable rather than aspirational.
ADC 605 Module 8 help: mistakes that cost marks
Evaluation plans often promise to prove a program's effect with designs that cannot. Match claims to design, and state the limits of your comparison plainly. Measure implementation, so you can tell whether a disappointing result reflects a weak program or weak delivery. Use existing data, such as state youth surveys, where possible, which saves money and allows comparison with other counties. Include short-term outcomes that change sooner than behavior. Plan how and to whom findings will be reported, in language each audience can use. Budget for evaluation from the start; it is usually underfunded and cut first. Agree beforehand on the results that would make you revise or abandon a strategy, so findings turn into decisions.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
More ADC 605 and Psychology and Addiction Studies sample papers
- ADC 605 Module 1: History of Drug Abuse and Prevention
- ADC 605 Module 2: Prevention Science and Risk and Protective Factors
- ADC 605 Module 3: Universal, Selective and Indicated Prevention
- ADC 605 Module 4: School-Based Prevention
- ADC 605 Module 5: Family and Community Prevention
- ADC 605 Module 6: Environmental Strategies and Policy
- ADC 605 Module 7: Planning a Prevention Program
- PAC 405 Module 8: A Multidimensional Case
- PAC 240 Module 6: Spirituality and Coping
- PSY 650 Module 4: Confidentiality and Privacy
- ADC 630 Module 5: Motivational and Cognitive-Behavioral Models
ADC 605 Module 8 questions, answered
What does ADC 605 Module 8 usually ask for?
Aspen's ADC 605 ends with evaluating prevention in this module, so an evaluation plan covering process and outcomes with a realistic design is typical. Consult your Module 8 prompt.
What is the difference between process and outcome evaluation?
Process evaluation examines how a program was delivered and to whom; outcome evaluation examines whether it changed the risk factors and behaviors it targeted.
Can a community coalition prove its program works?
Usually not on its own; a randomized community trial like the one Hawkins and colleagues conducted is costly, but coalitions can show delivery quality and track whether indicators move.
Where can I find a free ADC 605 Module 8 sample paper?
The complete evaluation plan is on this page: process and outcome measures, a comparison design and a plan for using findings.
Why measure implementation in prevention?
Durlak and DuPre found implementation quality strongly affects outcomes, so measuring it shows whether results reflect the program or how it was delivered.