MBA 7300 Module 3 Data Analysis of a Post-Merger Culture Example

Reviewed by Edgar Pennington, MBA Thomas Edison State University Updated October 2026

This MBA 7300 Module 3 sample paper reports the capstone's data analysis, turning survey, exit and service records from the Cascade engagement into evidence-based findings. It was prepared for TESU's Master of Business Administration (MBA) and tests the literature review's hypotheses for a composite equipment dealer. A technician survey with 137 responses shows acquired-branch technicians rating autonomy 2.6 against 3.4 and fit 2.9 against 3.6, with intent to quit 3.3 against 2.4, and a culture instrument reveals a 22-point gap between current and preferred clan culture. Exit records and 16 coded interviews point to lost decision authority. Limits are stated before the conclusion. MBA-7300 is the catalog code.

CourseMBA-7300 Management Capstone
ModuleModule 3
Paper typeWritten assignment 3: data analysis and evidence-based findings
LengthAbout 965 words, 6 pages
FormatAPA 7 student paper
SchoolThomas Edison State University
ProgramMaster of Business Administration
UpdatedOctober 2026

Free sample paper for MBA 7300 Module 3

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Testing the Diagnosis: Survey, Exit and Interview Evidence on a Culture Clash

Student Name

Master of Business Administration, Thomas Edison State University

MBA-7300: Management Capstone

Mentor Name

Month Day, Year

What this page is doingThe title states what the analysis does. The organization and its data are composites.
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Testing the Diagnosis: Survey, Exit and Interview Evidence on a Culture Clash

Purpose

Here the three hypotheses from the literature review meet the data: whether technicians who came over from Ridgeline feel less suited to the company and less free to decide than Cascade's original technicians, whether those feelings travel with plans to quit, and whether the acquired branches want a culture further from the one they now have. It reports the data collected, the analysis, the findings and their limits.

Data Collected

Four sources were used. An anonymous online survey went to all 176 service technicians; 58 of 74 former Ridgeline technicians and 79 of 102 legacy Cascade technicians responded, rates of 78 and 77 percent. The survey contained the Organizational Culture Assessment Instrument described by Cameron and Quinn (2011), in which respondents divide 100 points among clan, adhocracy, market and hierarchy descriptions for the current and preferred culture, and short five-point scales for perceived autonomy, person-organization fit and intent to quit adapted from published measures. HR provided coded exit records for the past 12 months. Sixteen semi-structured interviews were held with technicians and managers in both groups.

Finding 1: Autonomy and Fit Are Lower in the Acquired Branches

Group means were compared with two-sample t-tests allowing unequal variances.

Measure (1 to 5)Former Ridgeline (n = 58)Legacy Cascade (n = 79)tEffect size (d)
Perceived autonomy2.6 (SD 0.8)3.4 (SD 0.7)-6.09-1.08
Person-organization fit2.9 (SD 0.9)3.6 (SD 0.7)-4.93-0.89
Intent to quit3.3 (SD 1.0)2.4 (SD 0.9)5.430.95
What this page is doingReporting the test used, the p-values and the effect sizes together lets the reader judge both whether the gap is real and whether it matters.
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All three differences are statistically significant, with p-values below .001, and the effect sizes are large by conventional standards, close to or above one standard deviation. The first hypothesis is supported: acquired-branch technicians report substantially less autonomy and poorer fit, and more intention to leave.

Finding 2: Fit and Autonomy Are Linked to Intent to Quit

Across all 137 respondents, intent to quit correlated -0.52 with person-organization fit and -0.41 with perceived autonomy, both significant. Correlations of this kind cannot show that low fit causes quitting, yet their sign and strength line up with the meta-analytic evidence that Kristof-Brown et al. (2005) reported for fit and that Humphrey et al. (2007) reported for autonomy and work attitudes. The second hypothesis is supported.

What this page is doingThe paper says plainly that a correlation is an association, a caution mentors look for in a findings section.
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Finding 3: The Culture Gap Is Larger in the Acquired Branches

The culture instrument shows how each group sees the present and what it wants.

Culture type (points of 100)Ridgeline currentRidgeline preferredCascade currentCascade preferred
Clan18402230
Adhocracy10151214
Market30203028
Hierarchy42253628

Both groups see the current culture as dominated by hierarchy and market and would prefer more clan elements, but the gap is much larger in the former Ridgeline branches: they want 22 more points of clan culture and 17 fewer of hierarchy, against 8 and 8 for legacy Cascade technicians. The third hypothesis is supported. The finding also matters for recommendations: even legacy Cascade technicians would welcome somewhat more collaboration and somewhat less control, so changes need not be seen as favoring one group.

Finding 4: Exit Records and Interviews Point to Decision Authority

Of 23 former Ridgeline technicians who left in the past 12 months, 14 cited lost decision authority, approval delays or feeling like a number, 5 cited higher pay elsewhere and 4 cited other reasons. Interviews were coded by theme following the steps of thematic analysis that Braun and Clarke (2006) describe: familiarization, coding, grouping codes into themes and reviewing them. Four themes emerged: approvals that slow service and signal distrust; loss of assigned trucks and tools, which technicians described as losing ownership of their work; weaker relationships with regular customers; and little recognition of experience. Legacy Cascade managers, by contrast, described the approval rules as protecting margins and safety.

Limits

Because everyone was surveyed once, at a single point in time, the data cannot prove the merger produced the gaps, though turnover rising right after the integration fits that reading. Responses are self-reported and could be colored by general frustration. Respondents who had already left are missing from the survey, though the exit records partly fill that gap. The adapted scales were not validated in this setting. These limits argue for modest claims and for tracking the same measures after any changes.

What this page is doingA short limits section that names the cross-sectional design keeps the conclusions inside what the data can carry.
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Branch-Level Patterns

Breaking the results down by branch adds detail that the group averages hide. Among the five former Ridgeline branches, the two whose branch managers had worked longest under the old owners show the lowest autonomy scores and the highest turnover, while one branch whose new manager came from a legacy Cascade location but kept a weekly technician meeting shows scores close to the legacy average. The numbers in each branch are small, between 9 and 15 respondents, so these differences are suggestive rather than conclusive. They do suggest that local management practice can soften the effect of centralized rules, which is useful for the recommendations: some of what technicians miss can be restored by how managers lead, not only by changing policy.

Customer Evidence

Service records add a customer view. Average days from service call to approved quote rose from 1.2 to 4.1 in the former Ridgeline territory, while in legacy territories they held near 2.0. Customers who waited more than three days for a quote were less likely to approve the repair, which links the internal approval process to lost revenue as well as to employee frustration.

Conclusion

The data support all three hypotheses. Acquired-branch technicians experience less autonomy and poorer fit, those experiences go with intent to leave, and their preferred culture differs most from the current one. The evidence points recommendations toward restoring decision authority and recognition without abandoning the controls that legacy managers value.

References

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Cameron, K. S., & Quinn, R. E. (2011). Diagnosing and changing organizational culture: Based on the competing values framework (3rd ed.). Jossey-Bass.

Humphrey, S. E., Nahrgang, J. D., & Morgeson, F. P. (2007). Integrating motivational, social, and contextual work design features: A meta-analytic summary and theoretical extension of the work design literature. Journal of Applied Psychology, 92(5), 1332-1356. https://doi.org/10.1037/0021-9010.92.5.1332

Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of individuals' fit at work: A meta-analysis of person-job, person-organization, person-group, and person-supervisor fit. Personnel Psychology, 58(2), 281-342. https://doi.org/10.1111/j.1744-6570.2005.00672.x

What the MBA 7300 Module 3 instructions ask for

The third MBA-7300 written assignment presents data analysis and findings that test the problem and hypotheses from Modules 1 and 2. Describe each data source, how it was collected and response rates, then present results in tables with the appropriate statistics, such as means, tests and effect sizes for survey data and coded themes for interviews. State each finding plainly and say which hypothesis it supports or contradicts. Discuss limits honestly, such as cross-sectional design or self-report bias, and avoid claiming more than the data show. Cite the instruments and methods you used in APA style. Keep raw data secure and report only aggregated results. State the response rate for every source you use.

How the MBA 7300 Module 3 example is put together

The analysis is organized by hypothesis, so each finding answers a question set earlier in the capstone. Survey results appear in tables with sample sizes, standard deviations, test statistics and effect sizes, which let a reader judge both significance and size. Correlations are reported as associations, with the causal claim held back. Qualitative evidence from exit records and interviews is coded by a named method and used to explain the numbers. A limits section states what the design cannot show, and the conclusion previews what the recommendations must address without making them yet. Read it for how each table answers a question. The limits section is as important as the findings.

Where the marks sit in the MBA 7300 Module 3 rubric

Capstone mentors score this assignment on the hundred-point rubric. They look for appropriate methods, correctly reported statistics, findings tied to the hypotheses and interpretation that stays within the evidence. Combining quantitative and qualitative data earns credit when each informs the other. Honest treatment of limits and alternative explanations shows research maturity. Tables should be clear, with sample sizes and measures labeled. Methods and instruments should be cited in APA style. Overstated causal claims, missing response rates or findings unconnected to the problem tend to lose points. Clear tables with labeled samples, measures and statistics make the analysis easy for mentors to verify. Honest limits earn credit.

MBA 7300 Module 3 help: mistakes that cost marks

Capstone data analyses often report every number collected without organizing them around the hypotheses, or claim causes from correlations. Our writers can prepare MBA 7300 data analysis assignments from the data you have collected or can realistically collect. Start by listing each hypothesis and the data that tests it. Report sample sizes and response rates, then the statistics with effect sizes. Code interview notes into themes using a stated method, and use them to explain the numbers. End each finding with a sentence on which hypothesis it supports, and write a limits section before the conclusion. Then share the findings with the sponsor before writing recommendations. Revise findings that overreach the data.

Write yours, or have the desk draft it

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More MBA 7300 and Master of Business Administration sample papers

MBA 7300 Module 3 questions, answered

Where can I find a free MBA 7300 Module 3 sample paper?

The third Management Capstone written assignment is shown above, analyzing survey, exit and interview data to test a post-merger culture diagnosis.

What is the Organizational Culture Assessment Instrument?

A survey from Cameron and Quinn in which respondents divide 100 points among clan, adhocracy, market and hierarchy descriptions for current and preferred culture.

Why report effect sizes as well as significance?

Significance shows a difference is unlikely to be chance; effect size shows how large it is, which matters for decisions.

How should interview data be analyzed?

With a stated method such as thematic analysis: familiarization, coding, grouping codes into themes and reviewing them.

Can a survey prove that a merger caused turnover?

No; a cross-sectional survey shows associations, so causal claims should be modest and supported by timing and other evidence.