| Course | MGMT 8900M Prospectus Development and Alignment |
|---|---|
| Week | Week 1 |
| Paper type | Discussion post |
| Length | About 580 words, 4 pages |
| Format | Discussion post, APA 7 citations |
| School | Walden University |
| Program | PhD in Management |
| Updated | October 2026 |
Free sample paper for MGMT 8900M Week 1
Week 1 Discussion: Building the Core Statements From the Literature
Starting From a Ledger, Not a Topic: A Discussion Post That Lists Six Studies on Early Turnover in Public Agencies, Tags What Each Lets the Author Argue, and Writes a Problem, a Purpose and a Question About County Civil Engineers That Share One Population, One Event and One Unknown
The Ledger
My interest is why newly hired civil engineers leave county public works departments within their first two years. No study I can find examines that group directly, so the ledger records what each nearby study lets me argue and what it does not.
Table 1
Six Studies and What Each Lets Me Argue
| Study | What I can argue from it |
|---|---|
| Hom et al. (2017) | A century of turnover research treats early departures as costly and as having distinct causes from later ones |
| Lee and Mitchell (1994) | Some people leave after a specific event or shock rather than through slowly falling satisfaction |
| Selden and Moynihan (2000) | State employees quit less where pay is higher, on-site child care exists and internal moves are possible |
| Moynihan and Pandey (2008) | Public employees' intent to leave is shaped by their ties at work and their fit with the organization's values |
| Kim and Fernandez (2017) | Empowerment practices are associated with lower intent to leave in the federal workforce |
| Allen et al. (2010) | Employers often misjudge why people leave, so departures should be studied in the leavers' own terms |
None of the six studies examines civil engineers or county agencies; each supports a claim about public or early-career turnover in general.
Three Sentences From the Ledger
Problem: county public works departments that lose newly hired civil engineers within two years lose the training they paid for, and turnover research suggests early departures have causes distinct from later ones (Hom et al., 2017), yet how these engineers come to the decision to leave has not been described.
Purpose: this qualitative study sets out to explore how early-career civil engineers in county public works departments describe their decisions to leave.
Question: how do early-career civil engineers who left county public works departments within two years account for the decision to leave?
Why the Three Hold Together
Each sentence uses the same population, early-career civil engineers in county public works departments; the same event, leaving within two years; and the same unknown, how they come to that decision. None borrows a term the ledger cannot support. I avoided "job satisfaction" because only one study would back it, and I avoided "shock" in the question because Lee and Mitchell's model would then decide the answer before the interviews begin. The question asks engineers to account for leaving, which allows a shock, a slow decline or both to appear.
Reply to Tamika
Tamika, your three sentences about nurse managers in rural hospitals share a population, but your problem names "burnout" while your question asks about "staffing decisions." Those are different events. Could your ledger show which one your strongest source actually studies? If it is burnout, the question may need to follow it there, or the problem may need to become about staffing.
Reply to Owen
Owen, your purpose and question both use "small manufacturers," which is a good sign. My question is about the unknown: your problem says nobody has measured how often owners adopt automation, but your purpose sets out to explore why they do. Measuring how often and exploring why are different studies. Which one does your ledger support? Your second source, which you describe as interviews with owners, suggests the second.
References
Allen, D. G., Bryant, P. C., & Vardaman, J. M. (2010). Retaining talent: Replacing misconceptions with evidence-based strategies. Academy of Management Perspectives, 24(2), 48-64. https://doi.org/10.5465/amp.24.2.48
Hom, P. W., Lee, T. W., Shaw, J. D., & Hausknecht, J. P. (2017). One hundred years of employee turnover theory and research. Journal of Applied Psychology, 102(3), 530-545. https://doi.org/10.1037/apl0000103
Kim, S. Y., & Fernandez, S. (2017). Employee empowerment and turnover intention in the U.S. federal bureaucracy. American Review of Public Administration, 47(1), 4-22. https://doi.org/10.1177/0275074015583712
Lee, T. W., & Mitchell, T. R. (1994). An alternative approach: The unfolding model of voluntary employee turnover. Academy of Management Review, 19(1), 51-89. https://doi.org/10.5465/amr.1994.9410122008
Moynihan, D. P., & Pandey, S. K. (2008). The ties that bind: Social networks, person-organization value fit, and turnover intention. Journal of Public Administration Research and Theory, 18(2), 205-227. https://doi.org/10.1093/jopart/mum013
Selden, S. C., & Moynihan, D. P. (2000). A model of voluntary turnover in state government. Review of Public Personnel Administration, 20(2), 63-74. https://doi.org/10.1177/0734371X0002000206
What the MGMT 8900M Week 1 instructions ask for
The first discussion asks you to build your problem, purpose and research question from sources rather than from a topic you already like. Start with a short ledger of five or six studies, and beside each write the one thing you can argue from it. Then write three sentences, a problem, a purpose and a question, using only claims the ledger supports. In a closing paragraph, show that the three use the same population, the same event and the same unknown, and point out any word you avoided because the ledger could not back it. Keep the initial post near four hundred and fifty words. Reply to two classmates, each in about two hundred words, by testing whether their three sentences share those three elements.
How this MGMT 8900M Week 1 example is built
The civil engineer post sets its six studies in a two-column table, Hom and colleagues' hundred-year review of turnover studies, Lee and Mitchell on leaving after a shock, Selden and Moynihan on state quit rates, Moynihan and Pandey on ties and value fit, Kim and Fernandez on empowerment and Allen and colleagues on employers misjudging why people leave, and then admits that none covers county engineers. The three sentences follow on separate lines. The alignment paragraph explains why "job satisfaction" and "shock" were left out of the question. Replies point Tamika to a burnout-versus-staffing mismatch and ask Owen whether his ledger supports measuring how often or exploring why.
MGMT 8900M Week 1 rubric: what earns full marks
Instructors look first at the ledger, since every later sentence depends on it. Entries earn credit when each claim is narrow enough to be true of the cited study, and lose it when a source is stretched to cover a population it never examined. The three sentences are weighed together: a shared population, event and unknown across all three shows alignment at the start of the course. The closing paragraph counts for more than its length suggests, because naming words you avoided shows you tested the sentences instead of assuming they fit. Replies are judged on whether they locate a specific mismatch in a classmate's sentences. Posts that begin with a topic and add sources afterward, or replies that only praise, earn less.
MGMT 8900M Week 1 help: mistakes that cost marks
Choose sources before you choose wording. Read each study's abstract and findings, then write the single claim you could defend from it in one line, even if the study is about a neighboring population. Draft your three sentences only from those lines. Next, underline the population, the event and the unknown in each sentence and check that they match exactly. If one word differs, decide whether the difference is real or careless. When replying, do the same underlining on a classmate's sentences and ask about the first mismatch you find. Sessions with a tutor are available if you would like help building the ledger, and the civil engineer post on this page models each step.
Get a MGMT 8900M Week 1 example written to your instructions
Send the Week 1 prompt and rubric, the studies you have read, and the number of replies your section asks for. A post built from a reading ledger, three aligned sentences and two replies returns within 24-48h, and the first one is free. Its reading list is a parallel one, so which studies you can defend stays a question for your notes.
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MGMT 8900M Week 1 questions, answered
Where can I find a free MGMT 8900M Week 1 sample paper?
The civil engineer post, ledger table and both replies, is printed in full on this page.
What is a source ledger in the MGMT 8900M Week 1 sample?
A table listing each study beside the one claim the author can argue from it.
What three elements must the problem, purpose and question share?
The same population, the same event and the same unknown.
Why does the sample avoid the word shock in its question?
Because using it would let one turnover model decide the answer before any interviews.
What do the replies look for?
The first place a classmate's three sentences stop sharing a population, event or unknown.