MGMT 8705M Week 6 Peer Replies Example

Organizational Behavior Performance and Evaluation Walden University Free custom sample in 24 to 48h

This MGMT 8705M Week 6 peer reply example tests two classmates' predicted responses to measurement against what published research actually observed. The first reply quotes a prediction that a public call-center leaderboard will raise effort, grants that feedback often helps, then cites Kluger and DeNisi's meta-analysis, in which a sizable share of feedback efforts left people doing worse when attention shifted toward self-comparison, and classes the prediction as inferred rather than observed. The second quotes a prediction that adding peer raters will make appraisals fairer, cites Harris and Schaubroeck and Viswesvaran, Ones and Schmidt on rater agreement, and classes it as untested. In Walden MGMT 8705M each PhD in Management reply names the condition that might rescue the prediction.

CourseMGMT 8705M Organizational Behavior Performance and Evaluation
WeekWeek 6
Paper typePeer replies
LengthAbout 360 words, 3 pages
FormatDiscussion reply, APA 7 citations
SchoolWalden University
ProgramPhD in Management
UpdatedOctober 2026

Free sample paper for MGMT 8705M Week 6

1

Week 6 Discussion: Has Anyone Observed the Response You Predict?

Observed, Inferred or Never Tested: Two Peer Replies Placing Classmates' Predicted Responses to a Public Leaderboard and to Added Peer Raters Against What Published Research Actually Measured, With the Condition Each Finding Carries

Response to Tasha, on the Leaderboard

Tasha, you wrote: "Posting each agent's weekly call resolution rate on a public leaderboard will raise effort across the team." Part of that is well supported: feedback on performance often improves it. Kluger and DeNisi (1996), pooling hundreds of feedback studies, reported gains on average, yet in a sizable fraction of cases the people who received feedback ended up doing worse, and their explanation fits a leaderboard closely: feedback that draws attention toward the self, such as how one compares with others, rather than toward the task tends to reduce its benefit. A public ranking does exactly that, especially for agents near the bottom.

So your prediction stands as inferred rather than observed: the research supports feedback effects in general and warns about self-focused comparison. The evidence you would need is a study of public rankings in a service setting. One condition from the literature might rescue your prediction: if the leaderboard also showed each agent's own improvement over time, attention could stay on the task rather than on rank.

What this page is doingThe reply quotes the prediction it tests, so the classmate can see exactly which claim is being placed against the research.
2

Response to Owen, on Peer Raters

Owen, you wrote: "Adding two peer raters to each appraisal will make ratings fairer." Peers do see behavior supervisors miss, and Harris and Schaubroeck (1988) found that peer and supervisor ratings agree fairly well, correlating about .62. But fairness also depends on reliability, and Viswesvaran et al. (1996) found that agreement between raters was modest even for supervisors and lower for peers. Adding two peers averages out some individual idiosyncrasy, which may improve reliability, but nothing in this research tested fairness directly.

Your prediction is therefore untested as stated. The condition the literature attaches is that peers must have seen the work; ratings from peers who worked on few shared tasks add noise rather than information. Could your design require a minimum number of shared projects before a peer rates? That one rule would address the main source of noise the research identifies.

References

Harris, M. M., & Schaubroeck, J. (1988). A meta-analysis of self-supervisor, self-peer, and peer-supervisor ratings. Personnel Psychology, 41(1), 43-62. https://doi.org/10.1111/j.1744-6570.1988.tb00631.x

Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119(2), 254-284. https://doi.org/10.1037/0033-2909.119.2.254

Viswesvaran, C., Ones, D. S., & Schmidt, F. L. (1996). Comparative analysis of the reliability of job performance ratings. Journal of Applied Psychology, 81(5), 557-574. https://doi.org/10.1037/0021-9010.81.5.557

MGMT 8705M Week 6 instructions, in plain terms

Week 6 asks you to test classmates' predictions about how people respond to measures. Quote the predicted response from each post you answer. Decide whether published research observed that response directly, supports it only through a related mechanism or never examined it. Describe each study you cite by what it actually measured. Add the condition the literature attaches to the effect. End each reply by stating the evidence the classmate would need, or by supplying a study, and by naming a condition under which the prediction could hold. Two replies of about one hundred fifty to two hundred words each is typical, and the tone should be collegial. Keep both replies specific to the posts they answer.

How this MGMT 8705M Week 6 example is built

The first reply quotes the leaderboard prediction, grants that feedback often improves performance, explains the meta-analytic finding that many feedback interventions backfire when attention moves to the self and classifies the prediction as inferred. It names the evidence needed, a study of public rankings in a service setting, and a condition that could help, showing each agent's own improvement. The second reply quotes the peer rater prediction, reports that peer and supervisor ratings agree fairly well but that agreement among peers is lower than among supervisors and classifies the fairness claim as untested. It ends by asking whether the design could require peers to have shared enough work. Margin notes mark each classification.

Reading the MGMT 8705M Week 6 rubric

Placing each prediction accurately against the research carries the grade. Agreeing or disagreeing with a prediction without checking what studies observed earns little. Credit goes to an exact quotation, a clear classification as observed, inferred or untested, studies described by what they measured and a condition drawn from the literature. Accurate reporting of meta-analytic findings matters, since they are easy to overstate. Each reply should end constructively, with the evidence needed or a design condition. Brevity and accurate citations finish the score. Overstating what a meta-analysis found is a common error. A reply that classifies without explaining the classification earns little. Quoting the classmate exactly is part of fairness.

MGMT 8705M Week 6 help: mistakes that cost marks

Replies in this week often argue from intuition. Quote the prediction first. Then search for a study that observed exactly that response; if you find one only for a related response, say so. Describe each study by its design and outcome, not just its conclusion. Look for the condition under which the effect appeared or reversed. End with what the classmate would need to strengthen the claim. Keep each reply under two hundred words. If you cannot find a fitting meta-analysis, a tutor can point you to one, and the leaderboard and peer rater replies above show the three standings. Check that each study you cite measured the response in question, not a neighbor.

Get a MGMT 8705M Week 6 example written to your instructions

Paste in the two classmate posts you are answering along with the Week 6 discussion rubric, and both replies return in 24 to 48 hours, the first set free. Citation rules for each reply are followed exactly as your syllabus prints them. Nothing is attributed to a classmate beyond what the pasted post actually says.

More MGMT 8705M papers and PhD in Management samples

MGMT 8705M Week 6 questions, answered

Where can I find a free MGMT 8705M Week 6 sample paper?

The leaderboard and peer rater replies above together make up the Week 6 sample.

What are the three standings for a prediction in MGMT 8705M Week 6?

Observed directly in research, supported only through a related mechanism, or never examined.

Why might a public leaderboard backfire?

Kluger and DeNisi found feedback that draws attention to the self rather than the task can lower performance.

Do peer raters agree as well as supervisors?

No; Viswesvaran, Ones and Schmidt found agreement between raters was modest for supervisors and lower for peers.

How should each reply end?

With the evidence the classmate would need and a condition under which the prediction could hold.