| Course | NUR 640 Assessment and Evaluation in Nursing Education |
|---|---|
| Module | Module 6 |
| Paper type | paper on bias in grading and how to reduce it |
| Length | About 1,050 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MSN |
| Updated | September 2026 |
Free sample paper for NUR 640 Module 6
When the Same Paper Earns Different Grades: Sources of Grading Bias and a Plan to Reduce Them
[Student Name]
Southern New Hampshire University
NUR 640: Assessment and Evaluation in Nursing Education
Module Six Grading Bias Paper
[Instructor Name]
[Date]
When the Same Paper Earns Different Grades: Sources of Grading Bias and a Plan to Reduce Them
Nursing students often suspect that some instructors grade harder than others or that a reputation follows them from course to course. Faculty usually believe their own grading is fair, and most try hard to make it so. The evidence suggests both groups are partly right: bias in grading is common, usually unintentional and difficult to see from inside. In the composite Lakemont College of Nursing, a small faculty exercise made the problem visible. This paper describes that exercise, explains the main sources of grading bias that research has identified and proposes a practical plan to reduce them. It argues that bias is best addressed by designing the grading process rather than by asking graders to try harder to be objective.
What the Faculty Exercise Showed
During a faculty development day, five instructors who teach in the baccalaureate program each graded the same community health assessment paper using the course rubric. The paper had been written by a former student and all identifying details had been removed. Scores ranged from 74 to 91 out of 100, a spread that would have meant a C for one grader and an A minus for another. In a second round a month later, two faculty unknowingly graded the same paper again, this time labeled with the name of a current student known for strong work, and both scored it higher than before, by six and nine points. The exercise was small and informal, but it gave faculty a shared, concrete reason to examine their process.
Expectation Effects
The most studied source of bias is expectation. Malouff and Thorsteinsson (2016) conducted a meta-analysis of experimental studies in which graders assessed identical work while the researchers varied information about the student, such as previous performance, physical attractiveness or group membership. Across these studies, the irrelevant information measurably shifted grades, and the authors concluded that blind grading should be used wherever practical. Their analysis focused on experiments, which can show cause and effect, rather than on surveys of opinion.
Darley and Gross (1983) showed how expectation works. Participants watched a video of a child presented as coming from either a well-off or a poor background. Those who saw only the background video did not rate her ability differently. But those who also watched her answer test questions, with a performance deliberately mixed, rated her ability higher when she appeared well-off. Participants did not jump to conclusions from the label alone; they used the label to interpret ambiguous evidence. Student papers are full of ambiguous evidence, which is exactly where a grader's expectations can tip a judgment.
Halo, Order and Fatigue
Thorndike (1920) described what he called a constant error in ratings: supervisors who rated officers on separate qualities, such as intelligence, leadership and physique, produced ratings that correlated far more than the qualities themselves plausibly did. An overall impression spilled into every specific rating. In grading, a strong introduction or clean writing can lift scores on criteria such as evidence or analysis, even when those are weak, and a poor first page can depress everything that follows. Analytic rubrics help only if graders actually judge each criterion separately.
Order and fatigue add further error. A paper read after an excellent one may seem weaker than it is, and one read after a poor paper may seem stronger. Graders who work through a stack late in the evening may become harsher or more lenient as they tire. These effects are small for any single paper but matter when a grade sits close to a passing line, as it often does in nursing programs with a 77% or 80% threshold.
A Plan to Design Bias Out
Anonymous marking: written assignments will be submitted with student identification numbers rather than names where the learning management system allows, and graders will not look up identities until scores are recorded. This addresses expectation effects directly and is the step Malouff and Thorsteinsson recommend.
Criterion-by-criterion scoring: instead of grading each paper from start to finish, graders will score the first rubric criterion across all papers, then the second, and so on. This reduces halo because each criterion is judged in comparison with the same criterion in other papers rather than with the rest of the same paper.
Reshuffled order: the order of papers will be randomized for each criterion so that the same paper is not always read after the same neighbor. Graders will work in sessions of no more than ten papers with breaks between them.
Second marking near the pass line: any paper scored within three points of the passing threshold will be scored independently by a second grader without seeing the first score. If the two scores fall on different sides of the line, a third grader will decide. This targets the grades where bias has the largest consequences.
Annual audit: each year, the program will review grades on major assignments by student group, including first-generation students, multilingual students and students of different races and ethnicities, and compare the distribution across graders. A difference is not proof of bias, but it is a signal to look more closely at the rubric and the grading process.
Limits and Tradeoffs
Anonymity is not always possible. Clinical evaluation, presentations and reflective journals that describe the student's own experiences cannot be blind, so the other steps and calibrated rubrics carry more weight there. Criterion-by-criterion scoring takes longer at first and can make feedback feel fragmented, so graders will add a brief overall comment at the end. Second marking adds workload, which is why it is limited to papers near the pass line. And audits by group require careful handling of student data and small numbers, so results will be reported in aggregate only.
Conclusion
The Lakemont exercise showed that the same paper could earn a C or an A minus depending on who graded it and what they knew about the writer. Research on expectation effects, halo error and order effects explains why. Anonymous marking, scoring criterion by criterion, reshuffling order, second marking near the passing line and an annual audit will not remove judgment from grading, but they will make the grade more a measure of the work and less a measure of the grader.
References
Darley, J. M., & Gross, P. H. (1983). A hypothesis-confirming bias in labeling effects. Journal of Personality and Social Psychology, 44(1), 20-33. https://doi.org/10.1037/0022-3514.44.1.20
Malouff, J. M., & Thorsteinsson, E. B. (2016). Bias in grading: A meta-analysis of experimental research findings. Australian Journal of Education, 60(3), 245-256. https://doi.org/10.1177/0004944116664618
Thorndike, E. L. (1920). A constant error in psychological ratings. Journal of Applied Psychology, 4(1), 25-29. https://doi.org/10.1037/h0071663
What the NUR 640 Module 6 instructions ask for
Papers on grading and fairness in NUR 640 usually ask you to examine a source of error or bias in how students are evaluated, review the evidence and propose ways to reduce it in your own setting. Some prompts focus on a specific issue, such as grade inflation or bias in clinical evaluation. Expect four to six pages in APA 7. Ground the problem in a concrete example from your program if possible, explain the mechanisms behind each type of bias with research, link each proposed step to the mechanism it addresses and discuss limits and tradeoffs honestly, including assignments where your steps cannot be applied. Say how you would measure whether the changes worked.
How this NUR 640 Module 6 grading bias paper example is built
This paper begins with a faculty exercise at a composite college in which the same anonymized paper received scores from 74 to 91 and rose when labeled with a strong student's name. It explains expectation effects with the Malouff and Thorsteinsson meta-analysis and the Darley and Gross labeling experiment and the halo error from Thorndike's original description, then describes order and fatigue effects near passing lines. The plan includes anonymous marking, criterion-by-criterion scoring, reshuffled order, second marking near the pass line and an annual audit, each tied to a mechanism, with limits for clinical and reflective work. Group results are reported only in aggregate to protect students.
Where the NUR 640 Module 6 rubric puts the points
Grading of this paper usually weighs the clarity of the problem, accurate use of research on bias and measurement error, the quality and feasibility of proposed solutions, attention to equity, discussion of limitations and APA 7 writing. Top-band papers explain how each bias operates rather than listing names and match each solution to a specific mechanism. Graders reward concrete local evidence, even a small exercise, and realistic plans that acknowledge workload and cases where anonymity is impossible. Treating group differences in grades as a signal to investigate, rather than as proof of bias, shows careful reasoning that reviewers look for. A plan to measure the effect of changes adds strength.
NUR 640 Module 6 help: the mistakes that cost points
Grading bias papers lose points when they assert that bias exists without explaining how it works, when solutions are generic, such as being more aware, or when every step is proposed for every assignment without regard to feasibility. Another gap is ignoring the passing line, where small errors have the largest consequences. Explain each mechanism, match steps to mechanisms, target high-stakes decisions, acknowledge tradeoffs and plan an audit. If your prompt focuses on grade inflation, bias in clinical evaluation or feedback quality instead, share it with your NUR 640 context so the paper addresses the right problem. Then measure whether the spread in scores narrows. Repeat the exercise yearly.
Get NUR 640 Module 6 written to your instructions
Share the NUR 640 prompt, your program's grading practices and the rubric. The paper you receive will explain how each source of bias operates, match practical steps to each mechanism and address tradeoffs honestly, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
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NUR 640 Module 6 questions, answered
Where can I find a free NUR 640 Module 6 Grading Bias Paper sample?
The full paper is on this page: expectation, halo and order effects in grading nursing papers, with anonymous marking, criterion-by-criterion scoring and second marking near the pass line.
What is the halo effect in grading?
An overall impression of a paper or student spills into ratings of specific criteria, so strong writing can lift scores on weak analysis and vice versa.
Does knowing a student's name affect grades?
Experimental research shows that irrelevant information about students can shift grades on identical work, which is why blind grading is recommended where practical.
What is criterion-by-criterion grading?
Scoring one rubric criterion across all papers before moving to the next, which reduces the halo effect by comparing like with like.
Why second-mark papers near the passing grade?
Small grading errors matter most at the pass line, so an independent second score there targets the decisions with the largest consequences.