NR 587 Week 3 Engagement Data Analysis Example

Advanced Nursing Leadership Within Healthcare Environments Chamberlain University Free custom sample in 24 to 48h

A spring 2026 engagement survey on a 32-bed medical-surgical unit, read by shift through four items and 27 comments counted into themes, is analyzed in this NR 587 Week 3 sample paper, an engagement data analysis. Chamberlain NR 587 (NR-587), Advanced Nursing Leadership Within Healthcare Environments, expects nurse leaders in the MSN Nurse Executive track to qualify survey results before using them. The sample reports response by shift and tenure, quotes the four items chosen in advance, explains its comparisons, tabulates scores, says what they do and do not show, codes comments with a second reader, links results to events, shares them with the practice council and names what to act on.

CourseNR 587 Advanced Nursing Leadership Within Healthcare Environments
Week3
Paper typeEngagement data analysis
LengthAbout 1,160 words, 4 pages
FormatAPA 7 student paper
SchoolChamberlain University
ProgramMSN, Nurse Executive
UpdatedOctober 2026

Free sample paper for NR 587 Week 3

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Engagement Data Analysis: Who Answered the Spring 2026 Survey on a 32-Bed Medical-Surgical Unit, Four Items Read by Shift and 27 Comments Counted Into Themes

Student Name

College of Nursing, Chamberlain University

NR 587: Advanced Nursing Leadership Within Healthcare Environments

Instructor Name

Month Day, Year

What this page is doingThe analysis starts with response by group, quotes the few items it uses with their wording, chooses its comparison deliberately, counts comment themes and links scores to events.
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Engagement Data Analysis: Who Answered the Spring 2026 Survey on a 32-Bed Medical-Surgical Unit, Four Items Read by Shift and 27 Comments Counted Into Themes

Who Answered

The hospital's annual engagement survey ran in April 2026. All 58 registered nurses on the unit's staff were invited; agency nurses were not. Forty-one replied, a response rate of 71%. By shift, 22 of 28 day nurses replied (79%) and 19 of 30 night nurses (63%). By tenure, 9 of 14 nurses with less than a year on the unit replied (64%).

The night group is smaller and responded less, so its scores rest on 19 people. A difference of 10 points on a night item is a difference of about two people. The less-than-one-year group, at 9 respondents, is too small for its scores to stand alone, and the survey vendor suppresses results for groups under 5. The analysis uses it only alongside other evidence.

What this page is doingReporting who answered, by group, before any score tells the reader how much each number can bear.
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The Items Actually Used

The survey has 38 items. Four are used here, chosen before looking at the results because they match the three directions in the exit interviews. Their wording, as printed on the survey:

Item 12: "I would recommend this unit as a good place to work."

Item 19: "Staffing on my usual shift is adequate to provide safe patient care."

Item 24: "I can raise a concern on my unit without fear of negative consequences."

Item 31: "I am treated with respect by the people I work with on my unit."

Each is answered on a five-point scale. Scores below are the share answering agree or strongly agree.

Choosing the Comparison

I chose two comparisons. The first is day against night on the same unit, because the earlier assessment found the problem concentrated on nights. The second is the hospital's medical-surgical nursing average, because it describes units with similar patients and pay. I did not use the national benchmark the vendor supplies, because it mixes very different hospitals and would make any unit look either good or bad depending on its region.

The Scores

ItemDays (n = 22)Nights (n = 19)Unit (n = 41)Hospital medical-surgical
12 Recommend as a place to work55%21%39%64%
19 Staffing adequate on my shift45%21%34%48%
24 Raise a concern without fear59%37%49%66%
31 Treated with respect77%53%66%79%

The unit scores below the hospital on all four items. The gap between days and nights is larger than the gap between days and the hospital on every item. On days, the unit is close to the hospital average except on item 12. On nights it is far below.

What the Scores Do and Do Not Say

Item 19 shows that night nurses think staffing is inadequate, which matches the ratio and agency figures. Item 24 and item 31 are lower on nights than item 19 alone would predict if staffing were the only issue: night nurses are less likely to feel respected and less likely to feel safe raising concerns. That matches the four exit interviews that described treatment by senior colleagues.

The scores do not show who is responsible. Item 31 asks about "the people I work with," which includes physicians, other nurses and patient care technicians.

Compared with 2025, the unit's item 12 score fell from 44% to 39%. With 41 respondents, a five-point fall is about two people and could easily be chance. I do not treat it as a trend.

Comments as Counted Themes

Twenty-seven respondents wrote comments. I read each and coded it to one or more themes, then had the day assistant manager code them separately. We agreed on 24 of 27 and settled the other three by discussion.

ThemeCommentsNightDay
Night staffing and agency reliance14113
How new nurses are treated on nights871
Scheduling and self-scheduling requests633
Praise for the day manager's support505
Other422

Eight comments, seven from night nurses, described new nurses being spoken to harshly or left without help at night. Several described the same kind of incident. None named a person, and I have not tried to identify anyone from them.

What this page is doingCounting comments into themes, with a second coder, turns quotations into evidence a reader can weigh.
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Linking Scores to What Happened

Three events line up with the scores. First, the night vacancy rose from two to five positions between October 2025 and March 2026, shortly before the survey. Second, four of the nine 2025 hires who left described treatment by senior colleagues at night, and seven of the eight comments on the same theme came from night nurses. Third, in 2024 a night nurse was suspended after a medication error, and several staff still mention it; that may help explain why item 24 is low.

These links are suggestive. A survey and an exit interview are both answered by people with reasons to answer. But when two separate sources point to the same theme, it becomes worth acting on. Laschinger (2014) found that workplace mistreatment of nurses was associated with higher perceived risk to patient safety, which suggests the treatment theme is not only a retention issue.

Comparison With Published Measures

The four items used here are not drawn from a validated instrument. The practice environment scale developed by Lake (2002) would give the unit scores on staffing, manager support and colleague relations that can be compared with published benchmarks, and its staffing subscale has been linked in other work to nurse outcomes such as burnout (Aiken et al., 2002). The unit could add that instrument to next year's survey at low cost, which would let the night problem be measured against other hospitals rather than only against this hospital's average.

What to Act On

Two findings are strong enough to act on: night staffing, which every source supports, and the treatment of new nurses on nights, which the comments, the exit interviews and items 24 and 31 support together. The analysis does not support acting on scheduling yet; it appears in comments from both shifts in similar numbers and was not among the lowest items.

How the Results Were Shared

Before writing this analysis, I showed the day and night results to the unit practice council and asked whether they matched members' experience. Night members said the treatment theme was understated, because new nurses were least likely to answer. Day members were surprised by the size of the gap. The council's reaction is not data, but it confirms the analysis is read the same way by those it describes.

Limits

Agency nurses, who work a fifth of night hours, were not surveyed. Night respondents number 19. One year's survey cannot show a trend.

References

Aiken, L. H., Clarke, S. P., Sloane, D. M., Sochalski, J., & Silber, J. H. (2002). Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction. JAMA, 288(16), 1987-1993. https://doi.org/10.1001/jama.288.16.1987

Lake, E. T. (2002). Development of the practice environment scale of the Nursing Work Index. Research in Nursing & Health, 25(3), 176-188. https://doi.org/10.1002/nur.10032

Laschinger, H. K. S. (2014). Impact of workplace mistreatment on patient safety risk and nurse-assessed patient outcomes. Journal of Nursing Administration, 44(5), 284-290. https://doi.org/10.1097/NNA.0000000000000068

What the NR 587 Week 3 assignment asks for

The Week 3 analysis spends more of its length qualifying than reporting. Open with who answered: how many were invited, how many replied and which groups are too thin for their scores to mean much. Use only the few items you intend to build on, each quoted with its actual wording, since different items answer different questions. Choose your comparison deliberately. Count free-text comments into themes rather than quoting favorites. Link scores to what happened on the unit. Most rubrics mark down a score without its response rate, a selection of flattering items, a small movement read as a trend and comments quoted without being counted.

Inside the NR 587 Week 3 example

The sample reports 41 of 58 nurses responding, with nights at 63% and the newest nurses too few to stand alone. Four items are quoted with their wording, chosen before results were seen. Day against night and the hospital medical-surgical average are the comparisons, and the national benchmark is rejected with a reason. A table shows nights far below days on all four items. A section explains what the scores show and a five-point fall that is likely chance. Comments are coded by two readers into five themes. Three events are linked to the scores. A published environment scale, the council's reaction, what to act on and limits close it.

Where the points sit in the NR 587 Week 3 rubric

Nothing costs more than a score reported without its response rate, and this analysis opens with response by group. Selecting only items that scored well loses the next share, while these four were chosen in advance and all score badly. Overreading a small movement costs a row, and the five-point fall is called chance. Quoting comments without counting them reduces evidence to anecdote, so the comments are coded by two readers. Linking scores to events earns the interpretation marks. Choosing what to act on, and what not to, completes the criteria for an analysis a leader can use. Sharing the results with the practice council before writing shows the reading was tested with the people it describes.

Common NR 587 Week 3 mistakes, and how to avoid them

Weak NR 587 Week 3 analyses list scores without saying how many people answered. Others report the best items and skip the rest. Many treat a two-point change as a trend. Comments are usually quoted selectively. Few link the survey to events on the unit. Report response by group first, choose a small set of items before you look, quote their wording and count every comment into a theme. Then say which findings are strong enough to act on. If your survey differs, send the response counts and item scores, and a sample analysis can qualify them the same way. Ask a colleague to code the comments separately and compare.

Get a NR 587 Week 3 example written to your instructions

Send the assignment instructions and the rubric, and tell us the shape of your results rather than the results themselves. Engagement exports belong to your employer and we never need one; a description of which items moved and roughly how many answered is enough to build a custom NR 587 example from. It comes back inside 24-48h and the first is free.

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NR 587 Week 3 questions, answered

What if the response rate is low?

Say so, and keep going. A weak return does not void the results; it narrows what they can be used for, and an analysis that states the narrowing is doing exactly what the assignment wants. What fails is the writer who reports percentages from a small return as though the whole area had spoken. Name the number, name the risk of who stayed silent, and argue within it.

Am I allowed to say the survey itself is flawed?

Yes, if the criticism is specific and does not become the whole paper. A named problem with an item's wording, or a subgroup too small to report, is legitimate analysis. A general complaint that surveys cannot capture how people feel reads as an excuse for not analyzing anything, and the rubric usually treats it that way.

How many claims should the analysis end with?

Two or three the data can carry, and the discipline of stopping there is most of the grade. Writers who produce nine claims from one survey are describing it rather than analyzing it. Each claim should name the items behind it, so a reader who disagrees knows exactly which number to argue with rather than arguing with the writer.

Where can I find a free NR 587 Week 3 sample paper?

The full engagement data analysis of four survey items by shift, with 27 comments counted into themes, is on this page.

Why is the 2025 to 2026 change not treated as a trend in the NR 587 Week 3 analysis?

A five-point fall among 41 respondents is about two people, which could easily be chance in a single year.