| Course | DBAX 9102 Business Research Project Stage 2 |
|---|---|
| Week | Week 1 |
| Paper type | Opening discussion |
| Length | About 520 words, 3 pages |
| Format | Discussion post, APA 7 citations |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DBAX 9102 Week 1
Week 1 Discussion: The Burden of Proof in Applied Business Research
Where the Burden of Proof Sits Before a Study Is Proposed: Setting a Threshold for Calling Sales Managers' Coaching Effective, and Asking What Evidence Would Have to Clear It
The Claim I Want to Be True
I work in sales operations at a regional distributor of industrial supplies with fourteen branches and about sixty-four outside salespeople. Our leadership believes that sales managers who coach their people more often get better results, and our current sales plan asks every manager to hold two coaching sessions a month with each salesperson. I would like that belief to be true, because I helped design the plan. That is exactly why the burden of proof should sit on the claim, not on anyone who doubts it.
A Threshold for "Effective"
Before reviewing the literature, I want to set the standard a finding would have to meet for me to call coaching effective in a business like ours. I propose three conditions. First, the outcome must be something the company records, such as quota attainment, rather than salespeople's or managers' own ratings of performance. Second, the effect must hold after accounting for obvious differences between territories, since a strong territory makes any manager look good. Third, the evidence must concern coaching by the salesperson's own manager, not by an external coach, because that is what our plan prescribes.
Why These Conditions
Each condition answers a known weakness. Meta-analyses report that workplace coaching improves a range of outcomes (Theeboom et al., 2014), but many studies in them involve professional coaches and self-reported outcomes. Jones et al. (2016) found that coaching improved performance outcomes on average, and that the number of sessions did not clearly predict the size of the effect, which bears directly on a plan built around frequency. Dahling et al. (2016) studied sales managers in a pharmaceutical firm and linked coaching to goal attainment, which comes close to our setting.
What Would Change My Mind
If the evidence that meets all three conditions shows no relationship between coaching frequency and results, I will treat our plan as an untested policy rather than an evidence-based one. If it shows that quality matters more than frequency, the plan should change.
Why the Threshold Comes First
Setting the bar before reading matters because the literature on coaching is large and mostly favorable, and it would be easy to collect the favorable studies and stop. By deciding now that self-reported outcomes and external coaches do not meet the standard for our question, I commit in advance to setting aside some of the evidence I would most like to cite. My chair can hold me to that, and so can anyone reading the finished review.
Question for Classmates
Where does the burden of proof sit in your study, and is it on the claim you hope is true?
Reply to Olusegun
Olusegun, you plan to show that remote work improves productivity at your firm. What result would convince you it does not?
Reply to Hannah
Hannah, your threshold uses employee engagement scores. Would a result based on turnover records tell you the same thing?
References
Dahling, J. J., Taylor, S. R., Chau, S. L., & Dwight, S. A. (2016). Does coaching matter? A multilevel model linking managerial coaching skill and frequency to sales goal attainment. Personnel Psychology, 69(4), 863-894. https://doi.org/10.1111/peps.12123
Jones, R. J., Woods, S. A., & Guillaume, Y. R. F. (2016). The effectiveness of workplace coaching: A meta-analysis of learning and performance outcomes from coaching. Journal of Occupational and Organizational Psychology, 89(2), 249-277. https://doi.org/10.1111/joop.12119
Theeboom, T., Beersma, B., & van Vianen, A. E. M. (2014). Does coaching work? A meta-analysis on the effects of coaching on individual level outcomes in an organizational context. Journal of Positive Psychology, 9(1), 1-18. https://doi.org/10.1080/17439760.2013.837499
The Walden DBAX 9102 Week 1 instructions
Week 1 asks you to say where the burden of proof sits in your planned study before you review the literature. State the claim you hope is true and admit any stake you have in it. Then set the standard evidence must meet before you would accept the claim, in two to four conditions tied to known weaknesses in the research. Explain each condition briefly, citing at least one study. Say what result would change your mind and what you would then conclude about current practice. Explain why the standard must be set before reading rather than after. Close by asking classmates whether their own burden of proof sits on the claim they favor, then answer two classmates by asking what finding would talk them out of their own claim.
How the DBAX 9102 Week 1 example is put together
The post introduces the distributor and its two-session coaching policy and admits the author helped design it. A section sets three conditions: recorded outcomes, territory controls and coaching by the direct manager. A section ties each to weaknesses in the coaching evidence, citing Theeboom and colleagues on professional coaches, Jones and colleagues on session counts and Dahling and colleagues as the closest study. A section names the result that would make the policy an untested one. A short section explains why the bar is set before reading. One reply asks a classmate what would show remote work does not help; another asks whether turnover records would confirm an engagement result.
Where the marks sit in the DBAX 9102 Week 1 rubric
Faculty look first for a burden of proof placed on the claim the author favors, since that is the habit the stage is meant to build. Conditions tied to specific weaknesses in prior research carry the most weight. Admitting a personal stake in the outcome shows integrity. Stating beforehand which finding would overturn the author's view demonstrates scientific discipline. Explaining why the threshold comes before the review shows understanding of confirmation bias. Replies are valued when they ask a classmate to name disconfirming evidence. Posts that list standards too vague to apply, choose conditions that only favorable studies meet or avoid saying what would count against the claim lose credit in this first week.
DBAX 9102 Week 1 help from the desk
Write the claim you would most like your study to support, then ask what kind of study could fool you into believing it when it is false. Your conditions should rule out those studies. Common ones involve self-reported outcomes, missing controls and settings unlike yours. Be specific: "rigorous evidence" is not a condition. Write down now what result would change your mind, so you cannot move the bar later. Many students set a standard after reading, which tends to admit the studies they already like. Others set a bar no study could clear, which makes the review pointless. Aim for a bar the best existing studies could plausibly meet. Thinking through disconfirming evidence is easier aloud, and our writers can help you do it before your review begins.
Get a DBAX 9102 Week 1 example written to your instructions
The desk drafts this thread from three things: the Week 1 prompt, its rubric, and the literature your topic sits in, plus classmate posts if replies are due. A post with its threshold, verdict and two replies comes back within 24-48h, free the first time. Only published work is argued, so nothing from an employer is needed.
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DBAX 9102 Week 1 questions, answered
Where can I find a free DBAX 9102 Week 1 sample paper?
The opening post and two replies are shown below in full, free of charge.
What claim does the DBAX 9102 Week 1 post examine?
That sales managers who coach more often get better results.
What stake does the author have?
The author helped design the company's coaching policy.
What conditions must evidence meet?
Recorded outcomes, territory controls and coaching by the salesperson's own manager.
What would change the author's mind?
No link between coaching frequency and results in studies that meet all three conditions.