| Course | PS390 Introduction to Industrial/Organizational Psychology |
|---|---|
| Unit | Unit 3 |
| Paper type | Reliability and validity paper |
| Length | About 1,110 words, 7 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Psychology |
| Updated | October 2026 |
Free sample paper for PS390 Unit 3
Two Interviewers, One Candidate, Two Different Scores: A PS390 Unit 3 Reliability and Validity Paper
[Student Name]
Purdue University Global
PS390: Introduction to Industrial/Organizational Psychology
Unit 3 Reliability and Validity Paper
[Instructor Name]
[Date]
The writer, the call center, the candidates and every figure are composite and illustrative; the sources cited are real.
Why Measurement Matters in Hiring
Our Charlotte utility call center replaced its unstructured interview with a six-question structured interview and a work sample in January. A new process is only useful if it measures something consistently and if the scores support the decisions we make with them, in our case whom to hire. Those two qualities are reliability and validity, and the Standards for Educational and Psychological Testing (American Educational Research Association et al., 2014) set out how professionals should establish both for any test used in decisions about people.
Consistency
A measure is reliable when it gives the same reading again, across raters, occasions or items, as long as the person measured has not changed. A measure that gives one candidate a 4 with one interviewer and a 2 with another tells us more about the interviewers than the candidate.
For an interview, the most important kind is interrater reliability, the agreement between two people rating the same answers. Conway et al. (1995) conducted a meta-analysis of interview reliability and found that structured interviews produced substantially higher interrater reliability than unstructured ones, and that reliability was highest when interviews used standardized questions, rating scales with clear anchors and trained interviewers.
What the First Month Showed
In January, two supervisors independently rated each of twenty-four candidates on all six questions. For five questions, their ratings agreed closely; the correlation between their scores was in the high .70s or above. For the sixth, which asked candidates to describe picking up a new skill under time pressure, agreement was much lower. Looking at the ratings, one supervisor gave high scores to candidates who described learning anything quickly, while the other gave high scores only to those who described learning a computer system under time pressure.
The question was fine; the anchors were vague enough that each rater wrote a different question in her head.
We rewrote the anchors to describe what a strong answer includes, such as learning a new system or set of rules, practicing it and checking accuracy, and held a thirty-minute calibration session in which both supervisors rated three recorded answers and discussed differences. In February, agreement on that question rose to match the others, and we added a short calibration session to every new interviewer's training.
Why Structure Helps Consistency
Campion et al. (1997) described many separate components of interview structure, and several of them work mainly by reducing the room for raters to disagree. Asking every candidate the same questions removes differences that come from different conversations. Scoring each reply the moment it ends, against its own described examples, stops one dazzling or clumsy answer from tinting all the others. Using more than one interviewer averages out individual quirks. And training interviewers on what each scale point looks like gives them a shared standard. Our sixth question had every component except the last one in practice: the anchors existed but were too vague to give the raters a shared picture of a strong answer. Calibration supplied it.
Checking the Work Sample
The work sample needed its own check. Two trainers scored the same twelve recorded simulated calls using the checklist. They agreed on most items, such as whether the candidate verified the account number and explained the charge correctly, but disagreed on "showed empathy," an item that meant different things to each of them. We replaced it with two observable items: the candidate acknowledged the caller's concern in words, and the candidate did not interrupt while the caller explained. Agreement on those items was high from the first round. Observable behaviors are easier to rate consistently than impressions, a lesson that applied to both parts of the process.
Consistency Across Items and Time
A third kind of consistency checks whether questions meant to tap one quality move together. Our six questions measure different requirements, so we do not expect them all to correlate highly, and internal consistency is less useful here. For the work sample, we check whether the same recorded call scored a week apart gets the same score from the same rater, a form of consistency over time.
Validity
Validity is not a property of a test alone. In the Standards' terms, validity is about whether the evidence justifies what we do with a score, here deciding whom to hire. Our use is predicting who will succeed as a representative, so we need evidence that higher scores go with better job outcomes.
Several kinds of evidence contribute. Content evidence comes from our job analysis: each question and the work sample are tied to a requirement that high performers and supervisors identified. Criterion-related evidence comes from setting scores beside what later happened to each hire, such as whether they stayed three months and how their early calls were rated. And evidence about consequences asks whether the process treats groups fairly and leads to good decisions.
Plan for Criterion-Related Evidence
We will wait until at least sixty new hires have completed their first quarter, then correlate interview and work sample scores with quality scores and compare retention for candidates who scored high and low. We will check whether the work sample adds prediction beyond the interview. Because we hire only candidates who score above a cutoff, our sample will be restricted in range, which tends to make correlations look smaller than they would be in the full applicant pool, and we will note that limitation. We will repeat the analysis after the second year of hiring, when the larger sample will give steadier estimates, and share both sets of results with the supervisors who do the interviewing so they can see what their ratings predict.
Reliability Limits Validity
A measure cannot predict outcomes better than it can measure consistently. If two interviewers disagree about a candidate, at least one of them is wrong about the candidate, and that noise weakens any relationship with job performance. Improving the sixth question's agreement was therefore a step toward validity as well.
Conclusion
Two supervisors disagreed on one interview question until clearer anchors and a calibration session brought them together, consistent with Conway and colleagues' finding that standardized, anchored, trained interviews are most reliable. The Standards define validity as evidence for a specific use, and the call center's plan gathers content, criterion-related and fairness evidence for hiring decisions over its first year.
References
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association.
Campion, M. A., Palmer, D. K., & Campion, J. E. (1997). A review of structure in the selection interview. Personnel Psychology, 50(3), 655-702. https://doi.org/10.1111/j.1744-6570.1997.tb00709.x
Conway, J. M., Jako, R. A., & Goodman, D. F. (1995). A meta-analysis of interrater and internal consistency reliability of selection interviews. Journal of Applied Psychology, 80(5), 565-579. https://doi.org/10.1037/0021-9010.80.5.565
What the PS390 Unit 3 assignment asks for
In Unit 3, PS390 asks you to explain reliability and validity through a measure used at work. Choose a composite or real workplace measure, such as an interview or test, and explain the kinds of reliability that matter for it. Report or describe a reliability check and diagnose any problem you find, using research on what makes measures consistent. Explain validity as evidence for a specific use, drawing on the professional testing standards, and describe content, criterion-related and fairness evidence. Plan how you will gather criterion evidence and name its limits, such as range restriction. Expect around five APA pages, keeping candidates composite and every figure illustrative. Report what you changed.
How this PS390 Unit 3 example is built
The paper opens with two raters who disagreed. A section explains why measurement matters and introduces the testing standards. A section defines reliability and summarizes Conway and colleagues' meta-analysis. A section reports the first month's agreement and traces low agreement on one question to vague anchors, under a highlighted line about raters writing different questions in their heads. A section links components of structure from Campion and colleagues to consistency. A section fixes the work sample checklist. Sections cover other kinds of reliability, validity as evidence for a use, a plan for criterion evidence and why reliability limits validity, before the conclusion. Each fix is checked again in the following month's ratings.
Reading the PS390 Unit 3 grading rubric
Graders of this paper look for reliability and validity defined accurately and applied to a real measure, with a reliability problem diagnosed rather than just reported. Using research to explain why structured, anchored, trained ratings are more consistent earns credit. Validity should be framed as evidence for a specific decision, with several kinds of evidence named. A concrete plan for criterion evidence, including the limit of range restriction, shows sophistication. Replacing vague items with observable behaviors demonstrates practical judgment. Cite the testing standards and reliability research in APA style, keeping candidates composite. A small table of agreement by question helps graders see the diagnosis at a glance. Show the before and after.
Common PS390 Unit 3 mistakes, and how to avoid them
Reliability and validity papers often define the terms and stop. Others treat validity as a fixed property of a test rather than evidence for a use. Students frequently report a reliability coefficient without asking why it is low. Range restriction and other limits of criterion studies are commonly ignored. Observable behavior is sometimes confused with impressions such as empathy. Before submitting, compute or describe agreement for each item and explain any low value. Rewrite one vague item as observable behavior. State the decision your validity evidence must support. Name one limit of your criterion study. Treat candidates as composites and numbers as illustrative. Then ask a second rater to score the same answers.
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PS390 Unit 3 questions, answered
What is reliability?
The consistency of a measure across time, raters or items.
What is validity?
Evidence that a measure supports the decisions made with it.
Can a measure be reliable but not valid?
Yes. It can be consistent and still measure the wrong thing.
Where can I find a free PS390 Unit 3 sample paper?
This page holds the complete PS390 Unit 3 paper checking reliability and planning validity evidence for a composite call center interview.
What fixed the low agreement in the PS390 Unit 3 sample?
Clearer scoring anchors and a calibration session in which both raters scored recorded answers and discussed differences.