| Course | LEAD 6113 Ethical Leadership and Social Justice |
|---|---|
| Module | Module 3 |
| Paper type | Equity analysis |
| Length | 1,200 words, about 4 pages plus title and reference pages |
| Format | APA 7 student paper |
| School | American College of Education |
| Program | Ed.D. and DBA doctoral core |
| Updated | October 2026 |
Free sample paper for LEAD 6113 Module 3
Who the Two-Failure Rule Removes: An Equity Analysis of Five Years of Nursing Program Dismissals by First-Generation Status, Race and Work Hours
Student Name
American College of Education
LEAD6113: Ethical Leadership and Social Justice
Module 3 Assignment
Instructor Name
October 26, 2026
Introduction
Module 1 applied four ethical frameworks to one student's appeal under our progression rule, which dismisses a student after a second failed nursing course. The ethic of critique raised a question that one appeal cannot answer: whether the rule falls more heavily on some groups of students than others. This paper answers it with five years of the composite Georgia BSN program's own data, reads the results against nursing education research and a national workforce report, and considers what social justice requires of a leader who now knows the pattern.
The Data
From fall 2021 through spring 2026 the program admitted 610 students to the nursing major. Forty-four were dismissed under the two-failure rule, a dismissal rate of 7.2%. The institutional research office linked dismissals to three characteristics recorded at admission: first-generation college status, race and ethnicity, and self-reported weekly work hours from the admission questionnaire. The program is a composite, and the figures below are illustrative of the kind of analysis a program can run with its own records. Students who withdrew voluntarily before a second failure are not counted as dismissals, which probably understates the rule's reach, since some students leave when they sense a second failure coming.
What the Numbers Show
First-generation students made up 38% of admissions but 59% of dismissals: 26 of 232 first-generation students were dismissed, 11.2%, compared with 18 of 378 continuing-generation students, 4.8%. Black students made up 31% of admissions and 48% of dismissals, with a dismissal rate of 11.1% against 4.9% for White students. Students who reported working 20 or more hours a week were dismissed at 12.6%, compared with 4.1% for those working fewer hours. The three groups overlap heavily; many students are first-generation, Black and working long hours at once. On every grouping the program recorded, the rule removes students with fewer resources two to three times as often as everyone else.
What the Numbers Cannot Show
Higher dismissal rates do not by themselves prove that the rule is the cause or that it is unjust. The groups may differ in academic preparation before admission, in access to tutoring and in time to study, and the rule may simply record those differences at the moment they become decisive. Small numbers also limit certainty: 44 dismissals spread across groups leave wide margins of error. What the data establish is a pattern that a leader is obliged to examine, not a verdict. The obvious follow-up is to set dismissed students beside retained students who entered with similar prerequisite grades; if the gaps persist among students with equal preparation, the case that circumstances rather than ability drive dismissal becomes much stronger. The institutional research office has agreed to run that comparison before the faculty review.
What Research Adds
Nursing education research suggests the pattern is not unique. Palazzo et al. (2023) argued that academic progression policies in nursing programs deserve scrutiny for their effects on equity and justice and urged programs to question long-standing practices that may disadvantage students from underrepresented groups. Edwards-Capello and Silbert-Flagg (2021), interviewing nine students dismissed from a baccalaureate program through the lens of critical pedagogy, found that students' social and cultural circumstances before and during the program shaped their trajectories, and recommended holistic consideration of those circumstances. Their sample is small, but its finding matches what our appeals letters describe: caregiving, work and financial pressure arriving at the worst possible time.
The national stakes are higher than one program's statistics. The most recent national study of the profession's next decade called for a nursing workforce that looks more like the patients it serves and for schools that prepare nurses to close gaps in health (National Academies of Sciences, Engineering, and Medicine, 2021). A program that admits a diverse class and then dismisses its first-generation and Black students at twice the rate of others undercuts that goal from inside.
A Social Justice Reading
Social justice asks not only whether a rule is applied consistently but whether its burdens fall fairly and whether those it burdens had a voice in it. On the first question, the data suggest they do not fall fairly. On the second, the rule was written twelve years ago by a faculty committee with no student members and has never been reviewed with outcome data. The rule treats a second failure as evidence of unsuitability for nursing, but for a student working 30 hours a week while caring for family, a second failure may be evidence of circumstance rather than ability. A rule that cannot tell those apart treats unequal situations as equal, which is itself a kind of injustice.
Objections the Faculty Will Raise
Presenting this analysis to faculty will draw objections, and an ethical leader should anticipate them honestly. The first is that the rule protects patients by stopping students who cannot master the content. That is a real concern, but the rule measures course failures, not clinical safety, and the dismissed students' clinical evaluations were no weaker on average than those of students who graduated. The second objection is that the program's licensure pass rate depends on the rule. The program has no evidence for that; the rule was adopted in the same year as a curriculum revision, and the two cannot be separated. The third is that lowering the bar would be unfair to students who met it. That objection assumes the bar measures the same thing for every student, which is precisely what the data call into question. Answering these objections with evidence rather than conviction will matter more than the analysis itself, because faculty own the rule and will decide its future.
What a Leader Should Do
Knowing the pattern creates an obligation, but not a license to abolish the rule unilaterally. Three responses follow. First, the analysis will go to the faculty curriculum committee with a request to review the rule and with an invitation to two student representatives to join that review. Second, the program will intervene before failure, not only after: students who fail one course will now meet with an advisor to plan workload, financial aid and support, since the first failure is the moment the data show risk most clearly. Third, the appeals process will be revised so that documented hardship during a failed course is explicitly considered, with the same criteria applied to every appeal, which answers the consistency concern raised in Module 1.
Conclusion
The equity question that one appeal raised turned out to describe a pattern in five years of data. The pattern does not prove the rule unjust, but it shows that the rule's burdens fall most heavily on students with the fewest resources, and it places a duty on the program's leaders to examine the rule with the people it affects. Module 4 will analyze the policy's ethical implications in full, including the high-stakes testing that often accompanies such rules. Whatever the faculty decide, the program will now publish dismissal rates by group each year, so that the question raised by one student's appeal is never again answered only by anecdote.
References
Edwards-Capello, A., & Silbert-Flagg, J. (2021). Academic dismissal from a baccalaureate nursing program: The student's perspective. Nurse Education Today, 104, Article 104996. https://doi.org/10.1016/j.nedt.2021.104996
National Academies of Sciences, Engineering, and Medicine. (2021). The future of nursing 2020-2030: Charting a path to achieve health equity. The National Academies Press. https://doi.org/10.17226/25982
Palazzo, S. J., Green, C., & Davis, S. (2023). Achieving equity and justice in nursing programs: An examination of academic progression policies and changing the status quo. Nursing Education Perspectives, 44(5), 271-272. https://doi.org/10.1097/01.NEP.0000000000001188
LEAD 6113 Module 3 instructions, in plain terms
LEAD 6113 frequently asks in its third module for an equity analysis of a practice or policy in your own organization. Expect the prompt to ask who is affected by the practice, whether its burdens and benefits fall fairly across groups, what research says about similar practices and what a leader should do. Data from your own setting make the strongest case: rates by group, with the numbers behind them. State plainly what the data cannot show, since patterns are not proof of cause. Bring in research and national reports that frame the stakes, consider who had a voice in the practice and finish with responses that are within your authority.
Inside the LEAD 6113 Module 3 example
The paper starts from the critique question raised in Module 1 and describes the data source and the three groupings. Results are reported as rates within each group with the counts behind them, followed by an honest section on what the numbers cannot show. Research then adds context from a critique of progression policies, a qualitative study of dismissed students and the national report on the future of nursing. A social justice reading asks whether burdens fall fairly and who shaped the rule. Three responses follow, from a faculty review that includes students to earlier advising and fairer appeal criteria. Three predictable faculty objections are answered with evidence before the responses are proposed.
Reading the LEAD 6113 Module 3 rubric
Equity analyses tend to earn their marks for sound evidence, candid interpretation and the soundness of the response. Graders look for data reported correctly, rates within groups rather than shares of totals, with limits acknowledged; research that explains or contextualizes the pattern; and a social justice argument that goes beyond counting to questions of voice and fairness. Responses should be proportionate and within the writer's authority, avoiding both inaction and overreach. Connections to the course's earlier frameworks show coherence. Clear tables or figures, accurate statistics and APA 7 citations for every source complete the paper. Anticipating objections from the people who own a policy, and answering them with evidence, adds persuasive force.
Common LEAD 6113 Module 3 mistakes, and how to avoid them
Equity papers often assert that a policy is unfair without data, or present data without asking what they mean. If you need help gathering and reporting outcome data by group, interpreting gaps cautiously or writing a response within your authority, our writers can help. Describe the practice and the data you can obtain, with the assignment prompt, and we will build your Module 3 analysis on your organization's own numbers. A health department reviewing who misses appointments, or a company examining promotion rates, could be analyzed the same way. A simple table of rates by group can be prepared for the paper. Help with the matched comparison is available too.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official American College of Education document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
More LEAD 6113 and Ed.D. and DBA doctoral core sample papers
- LEAD 6113 Module 1: Ethical Frameworks Compared
- LEAD 6113 Module 2: Ethical Decision Model Applied
- LEAD 6113 Module 4: Ethical Policy Analysis
- LEAD 6113 Module 5: Ethical Leadership Platform
- LEAD 6011 Module 5: Leadership Growth Plan
- LEAD 6143 Module 2: Stakeholder Needs Assessment
- LEAD 6011 Module 2: Reflective Model Application
- LEAD 6133 Module 4: Coaching Plan
LEAD 6113 Module 3 questions, answered
What does LEAD6113 Module 3 usually ask for?
Many LEAD6113 sections use Module 3 to examine equity and social justice in a practice or policy in your organization, often with data on who is affected and research on why.
How should I report equity data in a paper?
Report the rate within each group, such as the share of first-generation students dismissed, not only each group's share of the total, and state the numbers behind each rate.
Do higher dismissal rates prove a policy is unjust?
No. They establish a pattern that requires examination; other explanations, such as differences in preparation or support, must be considered.
Where can I find a free LEAD 6113 Module 3 sample paper?
Read it in full on this page: five years of dismissals under a two-failure rule, broken down by first-generation status, race and work hours, with research and next steps.
What does social justice add to an ethics analysis?
It asks whether a rule's burdens fall fairly across groups and whether the people burdened had a voice in making it.