DIV 5003 Module 1 Workplace Belonging Measurement Example

Reviewed by Cornelius Ravenhill, MBA · American College of Education · Updated

This DIV 5003 Module 1 example measures belonging in one team: a 22-person transportation design group at a Sacramento civil engineering firm where two engineers left feeling outside the team. Written in APA 7 for American College of Education DIV 5003, Belonging and Inclusion in the Workplace (DIV5003 in the M.S. in Organizational Leadership (MSOL)), it opens a five-module project. Research defining inclusion as belonging plus valued uniqueness frames the study. A validated inclusion scale answered by 20 people, observations of six design reviews and a year of client presentation records show high belonging but lower room for authenticity among junior, hybrid and internationally trained engineers.

CourseDIV 5003 Belonging and Inclusion in the Workplace
ModuleModule 1
Paper typeWorkplace belonging measurement
Length1,230 words, about 4 pages plus title and reference pages
FormatAPA 7 student paper
SchoolAmerican College of Education
ProgramM.S. in Organizational Leadership
UpdatedOctober 2026

Free sample paper for DIV 5003 Module 1

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Who Speaks in Design Review? Measuring Belonging in a 22-Person Engineering Team

Student Name

American College of Education

DIV5003: Belonging and Inclusion in the Workplace

Module 1 Assignment

Instructor Name

September 4, 2028

What this page is doingAsking who speaks in design review points to an observable sign of belonging, not only a survey score.
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Introduction

I manage a 22-person transportation design group at a civil engineering firm in Sacramento, a composite employer called Delta Ridge Engineering in this course. The group designs roadway and intersection improvements for cities and the state. Over the past year two capable engineers left, both saying in exit conversations that they never felt fully part of the team, and a junior engineer told me that design reviews felt like a conversation among the senior staff. This paper measures belonging in the group. It explains what belonging and inclusion mean, describes three sources of evidence, reports the results and identifies where belonging is weakest.

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What Belonging and Inclusion Mean

Shore et al. (2011), reviewing research on inclusion in work groups, defined inclusion as the degree to which people experience treatment that satisfies two needs at once: the need to belong, felt when the group accepts a person as one of its own, and the need to be distinctive, felt when the group values what sets that person apart. A team that offers belonging only by asking people to conform does not include them, and one that values difference without acceptance leaves people isolated. Jansen et al. (2014) built a measure on a similar idea, distinguishing a sense of belonging to the group from room for authenticity, the sense that one can be oneself within it. Measuring both dimensions matters, because a team can score well on one and poorly on the other.

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Evidence Source One: A Validated Survey

The main measure is the perceived group inclusion scale developed by Jansen et al. (2014), which asks people to rate statements about whether the group gives them the feeling that they belong, that it likes them, that they can be themselves and that it appreciates who they are. Twenty of the 22 engineers and technicians completed it anonymously in May, with responses on a five-point scale. To protect anonymity in a small team, results are reported only for groups of four or more. The survey added two questions of my own: whether the respondent feels comfortable disagreeing in design reviews, and whether they believe assignments to visible client work are made fairly.

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Evidence Sources Two and Three: Behavior and Records

Surveys capture feelings; behavior shows patterns people may not report. Over six weekly design reviews, a project coordinator recorded who spoke and for about how long, without names in the final tally, only roles and work arrangements. I also reviewed project records for the past year to see who presented to clients at public meetings and city council sessions, the most visible and career-building work in the group. Together, the three sources allow the survey results to be checked against what actually happens in the team's most important routines.

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Survey Results

Overall, the group scored 3.9 out of 5 on belonging and 3.4 on room for authenticity. That difference tells its own story: people generally feel accepted but less free to be themselves. Scores differed by group. Senior engineers averaged 4.4 on belonging and 4.1 on authenticity. Junior engineers, with fewer than three years at the firm, averaged 3.6 and 3.0. The five engineers who work from home three days a week averaged 3.5 and 3.2. The five engineers who were trained outside the United States averaged 3.7 on belonging but 2.9 on authenticity, the lowest of any group. Only 45 percent of all respondents agreed that they felt comfortable disagreeing in design reviews.

What this page is doingReporting belonging and authenticity separately reveals that some engineers feel accepted but not free to be themselves, which a single score would hide.
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What Happens in Design Review

The meeting observations explain part of the survey pattern. In the six design reviews, the three senior engineers accounted for about 64 percent of speaking time, while junior engineers, who make up nearly half the group, accounted for about 18 percent. Engineers joining remotely spoke for about 6 percent of the time, often after the meeting had moved on. Twice, a junior engineer's comment was repeated by a senior colleague a few minutes later and then credited to the senior colleague in the notes. These patterns are not deliberate exclusion, but they show who the meeting is really for. Meetings also ran on a format that favored the office: the agenda was set the morning of the review, drawings were displayed only on the conference room screen, and comments came in rapid exchanges that remote participants found hard to enter.

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Who Gets Visible Work

Project records show a similar concentration. Of 31 public meetings and council presentations in the past year, 24 were led by the same five engineers, all senior, all based in the office full time. None of the internationally trained engineers led a client presentation, although two of them led the technical design on projects that were presented. When asked in the survey whether visible assignments were made fairly, 50 percent agreed overall, but only one of the five internationally trained engineers and two of the five hybrid engineers did. Belonging, in this group, is linked to access to the work that builds careers.

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Why Status Matters

The gap between senior and junior engineers is consistent with research on status in teams. Nembhard and Edmondson (2006), studying neonatal intensive care teams, found that members with higher professional status reported greater psychological safety than lower-status members, and that when leaders openly asked for and valued input from everyone, staff felt safer speaking up and the difference between higher- and lower-status members shrank. Engineering design teams share the clinical teams' steep hierarchy of credentials and experience. In our group, the senior engineers are also the licensed professionals who sign the drawings, which gives their views extra weight in every review. That does not make their views wrong, but it means junior engineers need explicit invitations, not just permission, to contribute.

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Interpreting the Results

Read together, the evidence suggests that the group accepts people as members more readily than it values what makes them distinctive, in the terms Shore et al. (2011) use. People are accepted, but the team's routines reward a particular style: speaking up quickly in person, presenting confidently in English to public audiences and being present in the office. Engineers who differ in experience, work arrangement or background feel accepted but less able to contribute in their own way, and the meeting and assignment records show why. This is a problem for the team as well as for them, because it narrows whose ideas shape designs.

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Limits

The evidence has limits. Twenty respondents is a small group, so differences between subgroups of four or five people should be treated as signals rather than firm findings. As the group's manager, I may influence how openly people answer, despite anonymity. Speaking time is a rough measure of participation; some people contribute heavily in writing or one-on-one. And one year of assignment records may reflect particular projects. Repeating the survey and observations after changes are made will show whether the patterns persist. Even with these limits, three sources pointing the same way make the main pattern hard to dismiss.

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Conclusion

The transportation design group scores 3.9 on belonging but 3.4 on room for authenticity, with lower scores among junior, hybrid and internationally trained engineers. Design review observations and project records show that speaking time and visible work are concentrated among senior, office-based engineers. The next module will examine how drawing more fully on the group's varied perspectives could improve its designs and results.

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References

Jansen, W. S., Otten, S., van der Zee, K. I., & Jans, L. (2014). Inclusion: Conceptualization and measurement. European Journal of Social Psychology, 44(4), 370-385. https://doi.org/10.1002/ejsp.2011

Nembhard, I. M., & Edmondson, A. C. (2006). Making it safe: The effects of leader inclusiveness and professional status on psychological safety and improvement efforts in health care teams. Journal of Organizational Behavior, 27(7), 941-966. https://doi.org/10.1002/job.413

Shore, L. M., Randel, A. E., Chung, B. G., Dean, M. A., Holcombe Ehrhart, K., & Singh, G. (2011). Inclusion and diversity in work groups: A review and model for future research. Journal of Management, 37(4), 1262-1289. https://doi.org/10.1177/0149206310385943

DIV 5003 Module 1 instructions, in plain terms

In DIV 5003's first module, students typically measure belonging in one team or organization they know. Expect to define belonging and inclusion using research, then gather evidence. Most prompts favor a validated survey, but stronger papers add observation of behavior and organizational records, which show patterns people may not report. Report results by meaningful groups while protecting anonymity. Interpret what the pattern means, and note the limits of the evidence. Many sections also ask you to identify where belonging is weakest, which sets up later modules on perspectives, collaboration, conflict and communication. Cite research and measures in APA. Explain how status or role might shape the results. Report how many people answered.

How the DIV 5003 Module 1 example is put together

Research on inclusion as belonging plus uniqueness, and a scale separating belonging from authenticity, frames the sample. The survey method describes the scale, anonymity rules and two added items. Meeting observation and a year of presentation records add behavioral evidence. Results show a 3.9 belonging score against 3.4 for authenticity, with lower scores for junior, hybrid and internationally trained engineers. Observation finds senior engineers holding 64 percent of speaking time and remote staff 6 percent, and records show five senior engineers leading 24 of 31 public presentations. Interpretation, limits and a forward look close the paper. Research on status and psychological safety explains why junior engineers hold back. Three sources are compared.

Where the points sit in the DIV 5003 Module 1 rubric

Belonging measurement papers are graded on method and interpretation. Instructors look for clear definitions grounded in research, a validated or carefully designed measure and, ideally, additional evidence from behavior or records. Results should be reported by groups that matter while protecting anonymity, and the interpretation should explain the pattern rather than simply report numbers. Identifying where belonging is weakest sets up the rest of the course. Acknowledging limits, especially in small teams, shows care. Single-question surveys, results reported only as overall averages and conclusions without evidence tend to lose marks. Measures and research belong in APA 7 references. Linking results to research on status differences adds depth. Clear subgroup sizes matter.

DIV 5003 Module 1 help: mistakes that cost points

Measuring belonging can feel awkward in a small team and vague in a large one. Students often ask us which inclusion scale to trust, how to keep small-team answers anonymous and how to set survey scores beside meeting behavior and records. Tell us about the team, the evidence you can realistically collect and what your instructor asks for; a writer then builds a measurement study around a validated scale, adds behavioral and record evidence and interprets the pattern. Engineering, health care, education and office teams all suit this assignment. Belonging measurements are usually back with you in two days, with every subgroup kept large enough to stay anonymous.

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More DIV 5003 and M.S. in Organizational Leadership sample papers

DIV 5003 Module 1 questions, answered

What does DIV5003 Module 1 usually ask for?

Module 1 of DIV5003 typically asks you to measure belonging in one team or organization, using evidence such as a survey, observation or records.

What is the difference between belonging and inclusion?

Research treats inclusion as two needs met at once: acceptance as a member and appreciation for what makes each person distinct.

How can belonging be measured?

With a validated survey such as a perceived group inclusion scale, checked against behavior, such as who speaks in meetings, and records, such as who gets visible work.

Where can I find a free DIV 5003 Module 1 sample paper?

This page carries one: a belonging measurement of a 22-person Sacramento engineering group, with survey scores of 3.9 and 3.4 and design review speaking time by role.

How do I protect anonymity in a small team survey?

Collect responses anonymously and report results only for groups of four or more, so no individual's answers can be identified.