| Course | BUS 6533 Advancing Access and Engagement in Organizations |
|---|---|
| Module | Module 3 |
| Paper type | Engagement measurement study |
| Length | 1,250 words, about 5 pages plus title and reference pages |
| Format | APA 7 student paper |
| School | American College of Education |
| Program | Doctor of Business Administration |
| Updated | October 2026 |
Free sample paper for BUS 6533 Module 3
Measuring What the Barriers Cost: A UWES-9 Engagement Study Across 41 Grocery Stores
Student Name
American College of Education
BUS6533: Advancing Access and Engagement in Organizations
Module 3 Assignment
Instructor Name
August 6, 2029
Introduction
The previous paper showed that three groups at Prairie Fresh Markets, the composite 41-store chain studied in this course, advance far less often than their numbers would suggest: associates on reduced hours, those on the overnight crew and those whose first language is Spanish. If engagement depends on access to job resources such as development and supervisor support, these groups should report lower engagement, and the difference should shrink once access is taken into account. This paper reports a survey designed to test those expectations with a validated instrument. It explains the choice of measure, the sampling and administration plan, the analysis and the results, and it sets out what the findings can and cannot show.
Research Questions
Three questions guided the study. First, does work engagement differ between full-time and part-time associates, between day and overnight workers and between English and Spanish speakers? Second, do these groups differ in perceived access to development opportunities and supervisor support? Third, if engagement differs, how much of the difference is accounted for by those two resources? The questions follow the job demands-resources model reviewed in the first module, which predicts that resources drive engagement.
Choosing the Instrument
The chain's existing pulse survey uses eight vendor items that mix satisfaction, intent to stay and engagement, so it cannot separate engagement from related attitudes. The study instead used the nine-item Utrecht Work Engagement Scale, a shortened version that Schaufeli et al. (2006) validated across ten countries, finding that its three subscales were closely related and that the nine items could be used as a single engagement score. The short form suited a busy retail setting, and an authorized Spanish version was available. Two job resource scales were added: four items on access to development, adapted from published scales, and four on supervisor support, both answered on seven-point agreement scales.
Reaching Every Group
A survey that reaches mainly full-time day staff would understate the very gaps under study. The survey was therefore offered on paper and by phone link, in English and Spanish, during paid time at shift meetings across all three shifts. Store managers were asked to schedule ten paid minutes for each associate, including part-time and overnight staff, over two weeks. Taking part was optional and no names were collected; no figure is shown for any group with fewer than 20 replies. Of about 2,900 hourly employees, 1,846 responded, a rate of 64 percent, with response rates by group ranging from 57 percent for overnight staff to 69 percent for full-time day staff.
Guarding Against Bias
Because engagement and job resources were measured on the same survey at the same time, relationships between them could be inflated by common method variance. Podsakoff et al. (2003) recommended procedural remedies such as protecting anonymity, separating predictor and outcome items and varying response formats. The survey placed the resource items before the engagement items with a short section of unrelated demographic questions between them, assured anonymity and used different response anchors. These steps reduce but do not remove the risk, which the paper acknowledges in its interpretation.
Reliability
Internal consistency was acceptable for all scales. Cronbach's alpha was .91 for the engagement scale in English and .89 in Spanish, .84 for access to development and .88 for supervisor support. These values are in line with those typically reported for the instruments and suggest the scales measured consistently in both languages, although formal tests of measurement equivalence across languages, which would require larger subsamples, were not conducted.
Results: Engagement by Group
On the seven-point engagement scale, full-time associates averaged 4.6 and part-time associates 4.1. Day workers averaged 4.5 and overnight workers 3.9. English speakers averaged 4.4 and Spanish speakers 4.0. Each difference was statistically significant and of small to moderate size. The pattern matches the access gaps found in the previous paper: the groups with narrower paths to advancement also reported lower engagement.
Results: Access to Resources
The same groups reported less access to resources. Part-time associates scored 3.4 on access to development compared with 4.5 for full-time associates, overnight workers 3.2 compared with 4.3 for day workers and Spanish speakers 3.5 compared with 4.2 for English speakers. Differences in supervisor support were smaller but in the same direction, largest for overnight workers, who often see their store manager only at shift changes.
Results: Accounting for the Gap
A regression predicted engagement from work arrangement, shift, language, tenure and the two resource scales. Before the resource scales were added, the three group variables together explained 6 percent of the variance in engagement. After the resource scales were added, the model explained 31 percent, and the coefficients for part-time status, overnight shift and Spanish language fell by between 55 and 70 percent. Access to development was the stronger predictor. These results are consistent with the expectation that unequal access to resources accounts for much of the engagement gap, although they do not establish cause.
What the Results Mean for Managers
For store managers, the results translate into concrete signals. An overnight crew with low engagement scores is not necessarily a crew that cares less; it may be a crew that rarely sees a manager and has never been offered the leadership course. A part-time associate who seems uninterested in growth may never have been told that growth is possible on a reduced schedule. Presenting results this way, at store meetings and in manager training, can shift attention from fixing attitudes to widening access.
Ethics of Sharing the Results
The results also raise questions about how they are shared. Reporting lower engagement for Spanish speakers or overnight workers could reinforce stereotypes if presented without the access findings that explain it. The study team therefore agreed with the chain's leaders that group results would always be presented together with the resource results and the barrier analysis, and that no store-level results for small groups would be released. Associates will receive a summary in both languages describing what was found and what the chain plans to do.
Interpreting the Findings
The findings fit the job demands-resources model and the meta-analytic evidence linking engagement to performance reviewed earlier, including Christian et al. (2011). They suggest that the chain's engagement problem among some groups is substantially an access problem, rooted in the practices identified in the previous paper rather than in those employees' attitudes. Bakker and Demerouti (2007) argued that resources become most important when demands are high, and overnight work, with its physical demands and isolation, fits that description, which may explain why the gap was largest there.
Limitations
Because the survey was taken at one point in time, it cannot establish that access produces engagement; engaged employees might also seek out or perceive more opportunity. Common method variance may inflate relationships despite the safeguards. Nonresponse was higher among overnight workers, whose actual engagement may differ from respondents'. And measurement equivalence across languages was assumed rather than tested. A follow-up survey after the interventions planned in the next module would provide stronger evidence.
Conclusion
Using the nine-item Utrecht scale in two languages and a survey designed to reach every shift, the study found lower engagement among part-time, overnight and Spanish-speaking associates, the same groups with narrower paths to advancement. These groups also reported less access to development and supervisor support, and those resources accounted for much of the engagement gap. Interpreted cautiously, the findings point to access as a lever for engagement, which the next module will address through specific interventions.
References
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115
Christian, M. S., Garza, A. S., & Slaughter, J. E. (2011). Work engagement: A quantitative review and test of its relations with task and contextual performance. Personnel Psychology, 64(1), 89-136. https://doi.org/10.1111/j.1744-6570.2010.01203.x
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4), 701-716. https://doi.org/10.1177/0013164405282471
The BUS 6533 Module 3 assignment instructions
In the third BUS 6533 module, students usually measure engagement with a validated instrument. Expect to state research questions, justify the instrument over homemade or vendor items, plan sampling and administration so every group can respond and describe the analysis. Most prompts reward reporting reliability, comparing groups, testing explanations such as job resources and interpreting results cautiously, with attention to common method bias and the limits of cross-sectional data. Protect anonymity with minimum group sizes. Cite the instrument's validation study and methods sources in APA 7, and connect the results to the earlier modules so the measurement tests something specific. Report response rates by group so readers can judge whether every group was heard.
How the BUS 6533 Module 3 example is put together
The sample sets three research questions drawn from the job demands-resources model. It explains why the chain's vendor items cannot isolate engagement and why the validated short Utrecht form, available in Spanish, fits. A paid, bilingual, all-shift administration plan reaches 64 percent of hourly staff. Procedural remedies for common method bias are described, reliability is reported for both languages and results show engagement and resource gaps for three groups. A regression in which group coefficients fall sharply once resources are added suggests access explains much of the gap. Interpretation, limitations and a link to the intervention module close the study. Effect sizes are described in words as well as numbers.
Where the points sit in the BUS 6533 Module 3 rubric
Measurement studies are judged on instrument choice, method and interpretation. Instructors look for a validated instrument with a cited validation study, a sampling and administration plan that reaches all relevant groups, reliability evidence and analysis that answers stated questions. Strong papers acknowledge common method bias, nonresponse and cross-sectional limits and avoid causal claims the design cannot support. Studies that use homemade items, survey only the easiest groups to reach or overstate findings usually receive lower marks. Complete APA 7 references for instruments and methods are expected. Linking results back to the previous module shows the course building one argument. A clear table of means by group, with sample sizes, is often expected.
BUS 6533 Module 3 help from the desk
Survey studies require choices about instruments, sampling and analysis that many students have not made before. We can help you select a validated engagement scale, plan administration that reaches every group, set up the analysis and write results and limitations clearly. Send the instructions and any data you have, or request illustrative results based on a realistic design, and we will prepare a study grounded in measurement research. Hospitals, retailers, schools, call centers and agencies all work. Most studies are completed within about three days, with results tables formatted in APA style. Guidance on running the regression yourself can be included. We can also draft the survey invitation in two languages.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official American College of Education document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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BUS 6533 Module 3 questions, answered
What does BUS6533 Module 3 usually ask for?
BUS6533's third module usually asks you to measure engagement with a validated instrument and interpret the results for your organization.
What is the UWES-9?
The nine-item Utrecht Work Engagement Scale, a short validated measure of vigor, dedication and absorption available in many languages.
What is common method bias?
Inflated relationships that can arise when the same people answer predictor and outcome questions on one survey at one time.
Where can I find a free BUS 6533 Module 3 sample paper?
This page has one: an engagement study across 41 grocery stores using the UWES-9 in English and Spanish.
Can I report engagement results by group?
Yes, if groups are large enough to protect anonymity; many organizations set a minimum such as 10 or 20 respondents.