| Course | PS451 Selection and Assessment in Organizations |
|---|---|
| Unit | Unit 10 |
| Paper type | Selection program evaluation |
| Length | About 1,090 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Psychology |
| Updated | October 2026 |
Free sample paper for PS451 Unit 10
What the New Hiring System Is Worth: A PS451 Unit 10 Selection Program Evaluation
[Student Name]
Purdue University Global
PS451: Selection and Assessment in Organizations
Unit 10 Selection Program Evaluation
[Instructor Name]
[Date]
The writer, the tree care company, the hiring figures and every estimate are composite and illustrative; the sources cited are real.
What Changed
Over twelve months, the company replaced a foreman's handshake and an untested strength test with a system built from a job analysis. Climber applicants now complete a movement-based physical assessment, a six-question structured interview and a scored work sample on the training tree. Entry-level applicants take a mechanical reasoning test, a short chipper and drop zone work sample and a paid half-day ride-along, then are placed in one of three tracks. Ratings use five anchored dimensions after frame-of-reference training, and crews train together on rescue and drop zone communication.
The general manager asked a simple question: was it worth it? This evaluation answers in four parts, because the SIOP Principles treat validity, fairness and ongoing review as conditions for any selection system, not optional extras (Society for Industrial and Organizational Psychology, 2018).
Validity
The first year produced thirty-eight hires: eleven climbers and twenty-seven entry-level workers. For the entry-level group, the combined score from the mechanical test and work sample correlated .29 with foremen's six-month ratings on the new anchored form. For climbers, the sample is too small for a stable estimate; the combined score correlated .41 with ratings, but with eleven people that figure could easily be off by .25.
Sackett et al. (2022) reexamined the meta-analytic validity estimates that had guided selection research for decades and concluded that many had been inflated by corrections for range restriction that did not fit the data. Their revised estimates were lower for most predictors, and structured interviews and job-specific tools such as work samples ranked near the top. I therefore use conservative values in the utility analysis below rather than our own small-sample figures or older published estimates.
The honest question is not whether the new system is valid in some general sense, but how much better it predicts than the handshake it replaced.
Fairness
The physical assessment's impact ratio for women rose from about .31 under the old strength test to about .78, with five of eight women passing. Every other component showed impact ratios above .80 for sex, and none of the components showed a ratio below .80 for race or ethnicity, although our applicant pool is small enough that these figures need to be watched rather than celebrated. The rescue station accounts for most of the remaining gap on the physical assessment and is under review.
Applicant Reactions and Early Retention
In the post-process survey, applicants rated the work samples and interview as job related and fair; the personality scale we piloted and dropped had been the only component rated poorly. Ninety-day quits among entry-level hires fell from seventeen of thirty-one to eight of thirty-one. Nine applicants withdrew after the ride-along, which is a cost of a half day's pay each and a benefit of not training people who would have left.
Utility Analysis
Schmidt et al. (1979) showed how to express the value of a selection procedure in dollars. Each hire's yearly gain is the validity improvement times what a one-SD difference in job performance is worth in dollars, times the mean standard score of those hired on the predictor. They demonstrated that even modest validity gains could produce large productivity gains when applied across many hires.
The assumptions for our analysis are these. Old validity: the handshake and strength test are assumed to correlate about .15 with performance, a generous figure for an unstructured judgment. New validity: .35 for the combined system, below both our entry-level local estimate's upper range and the published values for structured interviews and work samples, in line with Sackett and colleagues' cautions. The validity gain is therefore .20.
The dollar value of a standard deviation of performance is estimated at 40 percent of average pay, a common rule of thumb; with average pay of about $40,000, that is $16,000. We hired 38 of about 95 applicants who completed assessment, a selection ratio of 0.40. With top-down selection on a normally distributed score, the average standardized score of those hired is about 0.97.
The gain per hire per year is then .20 × $16,000 × 0.97, about $3,090. With average tenure of about a year and a half, 38 hires produce roughly 57 person-years of work, for a gain of about $176,000. Assessment costs about $180 per applicant in staff time, materials and ride-along pay, or $17,100 for 95 applicants. The net estimate is about $159,000 for one year's hiring.
How Sensitive Is the Figure?
Every input above is an assumption, and the figure moves with each. If the validity gain is only .10, half my estimate, the net value falls to about $71,000. If the dollar value of performance is lower, or tenure shorter, it falls further. Top-down selection is also an idealization; we do not always hire the highest scorers, because track placement and availability matter. I would describe the defensible conclusion this way: across a reasonable range of assumptions, the system returns several times its cost, and the conclusion does not depend on the most optimistic numbers.
The utility model also leaves out the outcomes the company cares about most. One avoided fall, or one avoided struck-by injury, carries medical, legal and human costs far beyond a year's productivity gain. The utility estimate should be read as a floor.
Ongoing Review
The SIOP Principles call for selection procedures to be monitored and revisited as jobs and applicant pools change. The plan for year two includes four steps: a validity study on applicants rather than early hires, once at least eighty have been assessed; a station-by-station adverse impact review every six months; an annual refresh of interview questions; and a repeat of the job analysis if the company adds crane or utility work that changes the climber role.
Conclusion
The new system is better supported, fairer and better received than the one it replaced, and early retention improved sharply. A conservative utility analysis based on Schmidt and colleagues' model, using validity values tempered by Sackett and colleagues' revisions, puts the first year's net value at about $159,000, and at about $71,000 even if the validity gain is half what I assumed. Combined with the safety outcomes the model does not count, the evidence supports keeping and refining the program.
References
Sackett, P. R., Zhang, C., Berry, C. M., & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range. Journal of Applied Psychology, 107(11), 2040-2068. https://doi.org/10.1037/apl0000994
Schmidt, F. L., Hunter, J. E., McKenzie, R. C., & Muldrow, T. W. (1979). Impact of valid selection procedures on work-force productivity. Journal of Applied Psychology, 64(6), 609-626. https://doi.org/10.1037/0021-9010.64.6.609
Society for Industrial and Organizational Psychology. (2018). Principles for the validation and use of personnel selection procedures (5th ed.). Industrial and Organizational Psychology, 11(S1), 1-97. https://doi.org/10.1017/iop.2018.195
What the PS451 Unit 10 assignment asks for
The last PS451 assignment asks students to evaluate a full selection or assessment program. Summarize what the program replaced and what it now includes. Report validity evidence with sample sizes and their limits, and explain how recent research on validity estimates affects the values you use. Report fairness results for each component and any group still affected. Include applicant reactions and retention. Carry out a utility analysis with every assumption stated, show the arithmetic, and test how the result changes when key assumptions are weaker. Say what the model leaves out. Set out an ongoing review plan consistent with professional standards, with dates or triggers. Conclude with a recommendation that holds under the pessimistic case, not only the hopeful one.
Inside the PS451 Unit 10 example
The evaluation opens with every component of the new system and the manager's question. A validity section reports both local correlations with their sample warnings and explains why Sackett and colleagues lead to conservative inputs, under a highlighted line about improvement over the handshake. A fairness section gives impact ratios for each component and flags the rescue station. Applicant reactions and early retention follow. The utility section explains the Schmidt and colleagues model, lists the validity gain, dollar value of performance, selection ratio and tenure, and works the arithmetic to a net figure. A sensitivity section halves the validity gain and notes what the model omits. An ongoing review plan and a conclusion that reports both estimates close the paper.
Where the points sit in the PS451 Unit 10 rubric
The rubric for a program evaluation rewards treating validity, fairness, reactions and value together rather than reporting only a dollar figure. Graders look for validity evidence reported with its sample limits and for inputs that reflect current research rather than older inflated estimates. Fairness should be reported by component. In the utility analysis, every assumption should be stated and the arithmetic visible, and a sensitivity test should show what happens under weaker assumptions. Naming outcomes the model omits shows judgment. An ongoing review plan tied to professional standards, with specific triggers, earns credit. Final credit goes to a verdict that still holds when the inputs are cut, correct APA 7 entries and numbers that match the earlier units.
Common PS451 Unit 10 mistakes, and how to avoid them
Utility analyses often present one large dollar figure as fact, with the assumptions hidden or missing. Another frequent error is using the most favorable published validity values, or a small local estimate, without comment. Students also skip fairness and reactions entirely once the numbers look good. Some forget that top-down selection is an idealization. Watch the arithmetic: show each multiplication so a reader can check it. Before submitting, list every input with its source or rationale, include at least one pessimistic scenario, report impact ratios for each component, name what the model cannot count and make sure the review plan says when the next validity study will happen and what would trigger a new job analysis.
Get a PS451 Unit 10 example written to your instructions
Share the program and the instructions with the rubric. A custom evaluation weighs a selection system's validity, fairness and value. Delivery is within 24-48h, with the first 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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PS451 Unit 10 questions, answered
What is utility analysis?
A method for estimating the dollar value of a selection procedure from its validity and the job's value.
Why revisit validity estimates?
Recent work suggests older corrections inflated many selection validities.
What should a program evaluation include?
Validity, adverse impact, cost, applicant reactions and a plan for ongoing review.
Where can I find a free PS451 Unit 10 sample paper?
This page holds the full PS451 Unit 10 evaluation of a composite tree care company's hiring system, with the utility arithmetic.
How much is the new system worth in the PS451 Unit 10 sample?
About $159,000 net for one year's hiring under the main assumptions, and about $71,000 if the validity gain is only half as large.