HD560 Unit 3 Design Selection Rationale Example

Reviewed by Elspeth Marlowe, MSN, RN Health Education Evaluation and Research Purdue University Global Free custom sample in 24 to 48h

Choosing an evaluation design by weighing the options against the question and the program's constraints is the work of the HD560 Unit 3 design selection rationale. In this example the program's shortage of places makes the strongest design possible. Purdue Global HD 560 asks MS in Health Education students to compare designs and justify a choice. Within Earshot, a composite county effort fitting low-income older adults with hearing aids at no charge, had 260 eligible applicants for 120 places. Six designs are weighed, from a pre-post comparison to regression discontinuity at the income cutoff. The paper chooses a public lottery with a six-month wait-list, stratified by language and drawing couples together, and names four costs plainly before giving the design's detectable difference.

CourseHD560 Health Education Evaluation and Research
UnitUnit 3
Paper typeDesign selection rationale
LengthAbout 1,100 words, 7 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMS in Health Education
UpdatedOctober 2026

Free sample paper for HD560 Unit 3

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Two Hundred Sixty Applicants, One Hundred Twenty Places: A Unit 3 Design Selection Rationale for Evaluating Free Hearing Aids by Lottery

[Student Name]

Purdue University Global

HD560: Health Education Evaluation and Research

Unit 3 Design Selection Rationale

[Instructor Name]

[Date]

Within Earshot, Tamsen County and every number are composite; the design text and the insurance lottery study cited are real.

What this part is doingOpening on the gap between applicants and places shows why a lottery is possible before the paper argues for it.
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The Question and the Constraints

The primary question asks whether an offer of Within Earshot reduces loneliness at six months among eligible applicants, compared with a wait-list. Four constraints shape the choice. The program has 120 places this year and cannot expand. Applicants who are not served now will be served next cycle, beginning in six months. The evaluation budget allows two assessments per person. And the agency's board will not accept any design that denies the program to someone who would otherwise have received it.

Six Candidate Designs

Design 1, single-group pretest and posttest. Low cost. Rejected: last year's report used it, and it cannot separate the program from regression toward the mean, history or loss.

Design 2, comparison with older adults at the senior center who did not apply. Moderate cost. Rejected: people who apply for hearing aids differ from those who do not in hearing, motivation and perhaps loneliness itself.

Design 3, historical comparison with last year's participants. Low cost. Rejected: last year's group was recruited differently and measured differently, and the senior center reopened in between.

Design 4, regression discontinuity at the income cutoff. Applicants just under 200 percent of the poverty line would be compared with those just over it, who are not eligible. Rejected: too few applicants fall near the cutoff, and those just over it were not assessed at all.

Design 5, staggered rollout across the county's two senior centers. Moderate cost. Rejected: with only two sites, any difference could reflect the sites themselves.

Design 6, a lottery among eligible applicants, with those not selected placed on a six-month wait-list and assessed on the same schedule. The lottery is run separately for English and Spanish speakers so both groups are balanced by language, and married couples who apply together are drawn as a unit. Moderate cost. Chosen.

Why the Lottery

When a program has more eligible applicants than places, someone will be left out regardless. A lottery decides who goes first without favoring anyone, and it balances the two groups on everything, measured or not, at the outset (Shadish et al., 2002). Oregon's 2008 Medicaid lottery offers a precedent: the state had more applicants than places and drew names, which later allowed a rigorous comparison from an allocation it had to make anyway (Finkelstein et al., 2012).

The lottery adds no scarcity to the program; it changes only how a shortage that already exists is shared, and in exchange the agency gets the one comparison that can separate the program from everything else happening to older adults that year.

What this part is doingThe highlighted sentence answers the main ethical objection to randomizing access.
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How the Lottery Will Run

The lottery is held in public at the senior center in January, with the evaluator and a member of the agency's board present. Each eligible applicant receives a number. A computer program, run on a laptop facing the audience, draws numbers separately for English and Spanish speakers in proportion to their share of applicants. Couples who applied together share one number. The list of results is posted the same day, and every applicant receives a letter within a week, in their language, stating their place and the date wait-listed applicants will be served.

What this part is doingDescribing the lottery's mechanics shows it is fair in practice and visible to applicants.
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Applicants are told about the lottery before they apply, on the application form and in person at intake. Anyone who would rather wait for next year's first-come allocation may withdraw without penalty, and their choice is recorded along with a brief reason, which helps the agency understand how applicants view the lottery.

The Price of the Choice

The paper names four costs.

First, the order of service changes. Last year places went to the earliest applicants. Under the lottery, some early applicants will wait six months who would otherwise have been served at once. The board accepted this after discussing it, and the agency will tell every applicant how places are allocated before they apply.

Second, the comparison ends at six months. Once wait-listed applicants receive hearing aids, there is no longer a group without them. The evaluation cannot speak to effects at one or two years.

Third, the estimate is the effect of being offered the program. Some people offered places will not take them or will stop wearing the aids. The primary result therefore describes the effect of the offer, which is what the board decides to fund, rather than the effect of wearing hearing aids.

Fourth, no one can be blinded. Participants and fitters know who has hearing aids. Assessors will be separate from the program staff, but participants' answers may still reflect knowing they received help.

What Wait-Listed Applicants Receive

Wait-listed applicants are not left with nothing. They receive the agency's standard information packet on hearing loss, the drop-in hour's schedule for general questions, and a call at three months to confirm their place and answer questions about the fitting appointment they will receive. They are not fitted with aids during the six months, and the evaluation asks at the end whether they found aids elsewhere.

Sample Size

With 120 applicants offered places and 140 on the wait-list, a standard deviation of about 1.8 points on the three-item loneliness scale (Hughes et al., 2004) and adjustment for baseline scores, the design should detect a difference of about 0.6 points with 80 percent power after allowing for 15 percent loss. A smaller true difference could be missed, a limit the report will state plainly.

What the Board Asked

Two board members raised concerns. One asked whether a lottery was fair to the oldest applicants, who might not live to see the wait-list's turn. The evaluator responded that six months is the same wait the shortage imposes now, and the board added a rule: applicants over 90 are placed in the first group outside the lottery and excluded from the analysis. The other asked whether the evaluation could be cheaper. The answer was that the lottery itself costs nothing; the cost is in the two assessments, which any credible design would need.

Conclusion

The lottery is the strongest design available, because the shortage of places allows a fair random allocation. Its costs are real but bounded, and each is stated in the evaluation plan so that the board, the applicants and the funder know what the evaluation can and cannot show.

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References

Finkelstein, A., Taubman, S., Wright, B., Bernstein, M., Gruber, J., Newhouse, J. P., Allen, H., Baicker, K., & Oregon Health Study Group. (2012). The Oregon Health Insurance Experiment: Evidence from the first year. Quarterly Journal of Economics, 127(3), 1057-1106. https://doi.org/10.1093/qje/qjs020

Hughes, M. E., Waite, L. J., Hawkley, L. C., & Cacioppo, J. T. (2004). A short scale for measuring loneliness in large surveys: Results from two population-based studies. Research on Aging, 26(6), 655-672. https://doi.org/10.1177/0164027504268574

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

What the HD560 Unit 3 assignment asks for

Unit 3 commonly has students lay out the designs that could answer their evaluation question and defend the one they pick. Prompts may ask for strengths and weaknesses of each option, ethical considerations, feasibility and an estimate of sample size or power. State the question and the program's constraints first. Give each design a fair description before rejecting it. If you choose randomization, explain why it is ethical in this setting. Name the costs of your choice rather than only its strengths. Describe how the design will be carried out in practice. A rough power estimate is expected in many sections. Six to eight pages is common for this paper.

How the HD 560 Unit 3 example is put together

The paper restates the primary question and four constraints set by the agency. Six designs are described, each with a reason for rejection or choice: pre-post, comparison with non-applicants, historical comparison, regression discontinuity, staggered rollout and a lottery. The lottery is justified by the existing shortage, with the Oregon Medicaid lottery as precedent, and the highlighted sentence answers the ethical objection. A section explains how the public draw will run and how applicants are informed. Four costs follow: changed order of service, a six-month limit, an estimate of the offer's effect and no blinding. Board concerns, wait-list support, sample size and a conclusion close the paper.

HD560 Unit 3 rubric: what earns full points

In this unit, instructors reward a fair comparison of designs, a choice that fits both the question and the constraints, sound ethical reasoning, practical detail and an honest statement of costs. Comparison scores well when rejected designs are described accurately. Ethical reasoning carries particular weight when access to a service is randomized. Practical detail shows the design could actually run, and a plan for informing applicants matters here. Naming what the design cannot show earns credit with almost every grader. A power estimate with stated assumptions strengthens the paper. Organization and APA citations make up the balance. Graders also look for evidence that applicants were told about the lottery before applying, since informed fairness matters as much as statistical fairness.

Common HD560 Unit 3 mistakes, and how to avoid them

A common problem is choosing a randomized design without explaining why it is ethical in the setting. Another is listing designs briefly and dismissing all but one with a single phrase. Some papers describe the chosen design in the abstract with no sense of how a lottery or comparison would actually be run. Others leave out the costs of the choice, which reads as overselling. Asking what happens to the people who are not served first often clarifies both ethics and design. If your program has a waiting list or more applicants than places, describe it, and we will help you make the case for using it.

Get an HD560 Unit 3 example written to your instructions

Describe the program your HD560 design paper concerns the constraints you are working under and any design your instructor has ruled out, and send the Unit 3 prompt and rubric too. Written around your instructions, the free first custom sample reaches you in 24-48h and argues for the strongest design those constraints allow. 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.

More HD560 papers and MS in Health Education samples

HD560 Unit 3 questions, answered

Is it ethical to randomize access to a health program?

Often, when places are limited anyway. A lottery allocates scarce slots without favoring anyone, and a wait-list design eventually serves everyone who applied. It becomes harder to defend when enough places exist for all eligible applicants or when delay carries serious risk. Your paper should state which situation applies and why.

What is a regression discontinuity design?

A design comparing people just above and just below an eligibility cutoff, on the reasoning that those near the line are alike except for receiving the program. It needs a cutoff applied consistently and enough people close to it. Where cutoffs are frequently overridden, the design weakens considerably, so check how often exceptions were made before choosing it.

Do I need a power calculation?

Many sections expect at least a rough one. State the smallest effect worth detecting, the expected variability, and the sample the design can reach, then say whether that sample is adequate. A simple estimate, clearly explained, tends to satisfy the prompt better than an elaborate calculation resting on unstated assumptions. Name the source of any variability figure you borrow.

Where can I find a free HD560 Unit 3 sample paper?

You can read a complete Unit 3 design selection rationale here, choosing a public lottery among 260 applicants for 120 hearing aid places.

What does the offer effect mean in a lottery design?

It is the effect of being offered the program, including people who decline or stop. It answers what a funder buys by offering places, not what happens to people who use the program fully.