DBAX 9102 Week 3 Literature Claim Sort Example

Business Research Project Stage 2 Walden University Free custom sample in 24 to 48h

This DBAX 9102 Week 3 claim sort example regroups 37 coaching studies by what they claim rather than by subject heading, exposing what the headings hid. Walden DBAX 9102 asks for that move, so a table sorts the studies into five claims, each with typical coach, outcome measure and strength of support. The best supported claim, from Theeboom and colleagues and Jones and colleagues, concerns coaching mostly by professionals, not managers. Ellinger and colleagues anchor the managerial claim in distribution but with ratings, Dahling and colleagues show frequency mattering mainly when skill is high and Locke and Latham supply the goal-setting mechanism. One claim the company's policy relies on, scheduled versus on-demand coaching, appears nowhere. The planned study is placed in the sort, and a classmate's check is reported, a step Doctor of Business Administration (DBA) committees expect of any synthesis.

CourseDBAX 9102 Business Research Project Stage 2
WeekWeek 3
Paper typeClaim sort
LengthAbout 760 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramDoctor of Business Administration (DBA)
UpdatedOctober 2026

Free sample paper for DBAX 9102 Week 3

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Sorting the Coaching Literature by What It Claims, Not What It Is About: Regrouping Thirty-Seven Studies Into Five Claims, Each With the Conditions Under Which It Was Observed and How Strongly It Is Supported

Student Name

Walden University

DBAX 9102: Business Research Project Stage 2

Instructor Name

Month Day, Year

What this page is doingThe title signals the move from topic headings to claims, which is the point of the week's sort.
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Sorting the Coaching Literature by What It Claims, Not What It Is About: Regrouping Thirty-Seven Studies Into Five Claims, Each With the Conditions Under Which It Was Observed and How Strongly It Is Supported

Why Sort by Claim

A literature sorted by subject heading looks organized while hiding what it actually claims. Under headings such as "coaching and performance" or "coaching in sales," studies that make very different claims sit side by side, and studies that make the same claim are scattered. For a study of how branch managers' coaching bears on whether their sellers hit quota, what matters is which claims the literature makes, under what conditions and how well each is supported. This paper regroups the 37 studies from my search into five claims.

What this page is doingThe paper explains why subject headings mislead, so the claim sort that follows reads as a correction rather than a reshuffle.
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The Five Claims

Table 1

The Coaching Literature Sorted by Claim

ClaimStudiesTypical coachTypical outcome measureSupport |
Coaching improves individual outcomes on average8 meta-analyses and reviewsMostly external professionalsMixed; many self-reportsStrong for the average effect, across many settings |
Managers' coaching relates to employees' performance14 field studiesDirect managerManager or self ratings in 10; records in 4Moderate; consistent direction, weaker with records |
Coaching quality matters more than frequency4 field studiesDirect managerGoal attainment, ratingsLimited but direct |
Coaching works through role clarity, self-efficacy or goal setting7 studiesMixedRatingsModerate for goal setting; thin for others |
Coaching effects depend on the coach's type or relationship4 studies, including one meta-analysisInternal against externalMixedLimited |

Counts sum to more than 37 where a study makes more than one claim. Support judged by number of studies, design and outcome source.

What the Sort Reveals

The first claim is the best supported, but it is not the claim my study needs. Theeboom et al. (2014) and Jones et al. (2016) both found positive average effects of coaching, yet most coaching in their samples was delivered by trained professionals, often to managers rather than frontline staff. Under a subject heading, these meta-analyses look like strong support for managerial coaching. Sorted by claim, they support a related but different proposition.

The second claim, that managers' coaching relates to their employees' performance, is the one closest to my question. Ellinger et al. (2003), studying warehouse supervisors and their employees in the distribution industry, found that supervisors' coaching behavior was associated with employees' job satisfaction and performance. Most studies under this claim, however, used ratings rather than records for performance. Only four used sales or productivity figures from company systems.

The third claim is small but sharp. Dahling et al. (2016) linked managers' coaching skill to salespeople's goal attainment in a large sales organization and found that the value of coaching frequency depended on that skill. This is the claim most directly relevant to a sales plan that prescribes two sessions a month.

The fourth claim draws on goal-setting theory. Locke and Latham (2002) summarized decades of evidence that specific, difficult goals with feedback raise performance, and several coaching studies treat goal setting as the mechanism. The link is plausible, but few studies measure it directly.

What this page is doingThe paper reads the table for what the subject headings had hidden.
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What the Sort Does Not Settle

The sort shows where support is strong and where it is thin, but not why studies disagree, which next week's analysis takes up. It also depends on my judgments of each study's claim; two studies could reasonably be placed under different claims. I have flagged six such cases in the extraction sheet.

What It Means for My Study

My study belongs under the second and third claims: coaching by a direct manager, measured both by frequency and by quality, with an outcome from company records. The sort shows that this combination is rare. That rarity is the beginning of the gap my study will address, though the gap statement itself waits for Week 6.

A Claim the Literature Does Not Make

One claim my company's sales plan assumes is absent from the literature altogether: that a fixed number of coaching sessions per month produces better results than coaching when a salesperson needs it. No study in my set compared scheduled coaching with coaching on demand. The plan's frequency target therefore rests on managerial judgment, not on evidence, which is worth knowing before the study is designed around it.

How the Sort Was Checked

A classmate sorted ten studies without seeing my table and agreed on eight. Both disagreements involved studies that measured coaching quality and frequency together in one scale. I placed them under the second claim, since their design cannot separate the two, and noted the alternative.

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

Ellinger, A. D., Ellinger, A. E., & Keller, S. B. (2003). Supervisory coaching behavior, employee satisfaction, and warehouse employee performance: A dyadic perspective in the distribution industry. Human Resource Development Quarterly, 14(4), 435-458. https://doi.org/10.1002/hrdq.1078

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

Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705-717. https://doi.org/10.1037/0003-066X.57.9.705

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

Reading the DBAX 9102 Week 3 instructions

Week 3 asks you to sort the literature you found by the claims studies make, not by their topics. Explain why subject headings can mislead. Group your studies into a small number of distinct claims and present them in a table with the number of studies, typical conditions such as who delivered the intervention and how outcomes were measured, and the strength of support. Read the table for what the sort reveals that headings concealed. Note any claim your organization's practice relies on that the literature does not make. State what the sort does not settle. Place your own planned study within the sort, and report any check on your sorting decisions.

Inside the DBAX 9102 Week 3 example

The paper opens by showing how headings place different claims side by side. A table sorts 37 studies into five claims. A section explains that the strongest claim, citing Theeboom and colleagues and Jones and colleagues, rests on professional coaching. A section notes that managerial studies, including Ellinger and colleagues, mostly use ratings. A section highlights Dahling and colleagues' finding on skill and frequency. A section links coaching to goal setting through Locke and Latham. A section notes that no study compares scheduled with on-demand coaching. Closing sections place the planned study, flag six ambiguous cases and report a classmate's eight-of-ten agreement. Counts in the table are allowed to exceed the total because a study may make two claims.

Reading the DBAX 9102 Week 3 rubric

The heart of this assignment is regrouping by claim, and a table that shows conditions and support for each claim carries the most weight. Reading the sort for what headings concealed shows insight. Distinguishing strong support for a related claim from support for the author's own claim demonstrates precision. Noticing a claim that practice assumes but research does not make shows critical awareness. Placing the planned study within the sort shows purpose. A check on sorting decisions shows rigor. Sorts that simply relabel topic headings, ignore outcome sources or omit support ratings fall short of the synthesis expected at Stage 2. Flagging studies that could sit under more than one claim, and explaining the placement, keeps the sort honest.

Common DBAX 9102 Week 3 mistakes, and how to avoid them

For each study, write one sentence stating what it claims to have found and under what conditions. Then group studies whose sentences say the same thing. You will usually find four to six claims. For each, note who did the coaching or intervention and where outcomes came from, since those conditions often explain differences in support. Ask which claim your study actually tests; it may not be the best supported one. Many students organize reviews by theme and never notice that their strongest citations support a neighboring claim. Others list studies one by one without synthesis. Have someone sort a few studies independently. Turning a stack of studies into claims is slow at first, and our writers can help you work through the first dozen.

Get a DBAX 9102 Week 3 example written to your instructions

Send the Week 3 prompt with its rubric and whatever reference list the search produced. The claim matrix, entry rules and placement notes return inside 24-48h; the first is free. Placements are argued from each study's published methods section, which is why a citation list is enough and no PDFs need to travel.

More DBAX 9102 papers and DBA samples

DBAX 9102 Week 3 questions, answered

Where can I find a free DBAX 9102 Week 3 sample paper?

The claim sort and its five-row table are available below without charge.

How many claims does the DBAX 9102 Week 3 sort identify?

Five.

Which claim is best supported?

That coaching improves outcomes on average, mostly with professional coaches.

Which study separates skill from frequency?

Dahling and colleagues, in a sales organization.

What claim does the policy rely on that no study makes?

That scheduled coaching works better than coaching when needed.