RES 6561 Module 3 Limitations Section Example

What These Results Cannot Show: Limitations of a Cross-Sectional Mediation Study of Leadership and Voice in Hospital Revenue Cycle Teams

Student Name

American College of Education

RES6561: Interpreting the Dissertation Research

Module 3 Assignment

Instructor Name

October 26, 2026

Introduction

Every study can be criticized, and a limitations section that lists every possible weakness at the same volume tells the reader little. This paper states the limitations of my completed study in order of how much each one constrains the conclusions. For each, it explains what the limitation is, how it affects the interpretation offered earlier in Chapter 5 and what a future study could do differently. The aim is to let a reader know exactly how much weight the findings can bear.

1. Mediation at a Single Point in Time

The most important limitation is that a causal process was examined with data collected once. Mediation implies a sequence in which leadership shapes safety, which then shapes voice. In cross-sectional data, the estimated indirect effect can differ substantially from the effect that would be found if the variables were measured over time, and it may even suggest mediation where none exists (Maxwell & Cole, 2007). The order could also run in other directions: employees who speak up and are heard may come to feel safer and to rate their supervisor more favorably. The study therefore shows that the data are consistent with the proposed pathway, not that the pathway operates as proposed. A panel design measuring leadership, safety and voice at three points several months apart would allow the sequence to be examined directly.

2. Single-Source, Self-Reported Data

All variables came from the same employees in one survey. Self-reports of voice may reflect how often people believe they speak up, or would like to, rather than how often they do. A shared tendency to answer favorably could also inflate correlations among leadership, safety and voice. The survey design separated these measures and the marker-variable check suggested shared method variance was not large, but neither step removes the problem (Podsakoff et al., 2003). Supervisor ratings of each employee's voice, or counts of suggestions logged in a denial-management system, would provide an independent measure of the outcome.

3. Nesting Within Supervisors

Employees reporting to the same supervisor share that supervisor, so their responses are not fully independent. The analysis treated each employee as independent, which can make standard errors too small and results appear more precise than they are. Supervisor identifiers were not collected, to protect anonymity, so the degree of clustering cannot be estimated. Because the main effects were large relative to their standard errors, it is unlikely that modeling the nesting would reverse them, but the borderline direct path could be affected. A future study could collect a coded team identifier, with enough respondents per team to estimate multilevel models while protecting individuals.

4. Sample and Response

Participants came from three health systems in two states, and about a third of those invited provided usable responses. The role mix matched each system's workforce closely, but employees who chose not to respond may have differed in ways that matter, for example in their views of their supervisors. If dissatisfied employees were less likely to respond, the range of leadership and safety scores would be narrowed, which tends to weaken correlations rather than strengthen them. Even so, results describe these three systems most directly, and transfer to other regions, smaller hospitals or outsourced revenue cycle firms is uncertain. My own employer was not among the three systems, which avoided an insider relationship with participants but also means the findings were not tested in the organization I know best.

5. Breadth of the Measures

The leadership measure combines several kinds of behavior into one score, so the study cannot say whether openness, individual attention or inspiration carried the effect. The voice measure mainly captures constructive suggestions and says little about raising concerns, which may be the more important form of voice where errors carry compliance and financial risk (Chamberlin et al., 2017). Work location was measured as a simple on-site versus remote distinction, which cannot capture how much contact remote staff had with supervisors. Each of these choices kept the survey short, but each limits what the results can say.

6. Power for the Direct Path

The sample of 221 was ample for the indirect effect and the main associations but less suited to detecting a modest direct path. The interval for the direct effect ran from slightly below zero to 0.38, so a meaningful direct association cannot be ruled out. The interpretation offered earlier, that leaders influence voice largely through safety, should therefore be read as a description of where most of the association lies, not as evidence that no direct influence exists.

7. The Survey Context

The survey reached employees through their own revenue cycle leaders, and although responses were anonymous and the invitation stressed that no employer would see individual answers, some employees may have doubted that assurance. Doubt of that kind would most likely push leadership and safety ratings upward and reduce variation, particularly among staff who felt least safe, a pattern that would understate rather than overstate the associations. The survey also ran during a period when two of the three systems were implementing new denial-management software, which may have made voice about process problems more common than usual. Neither influence can be measured with the data collected, but both are noted so that readers can weigh the timing and route of the survey.

Limitations That Matter Less

Some limitations named in the proposal proved less consequential. Missing data were rare and random, distributions were close to normal and collinearity was low. The borderline result on the test for unequal residual variance did not change any conclusion when robust standard errors were used. Retaining six fast responders made no difference to the estimates. These are reported for completeness but do not limit the conclusions in a meaningful way.

How the Limitations Interact

The limitations do not act alone. Single-source data and the single time point combine: a respondent who feels positive about work on the day of the survey may rate leadership, safety and voice higher together, and with one measurement there is no way to separate that mood from stable perceptions. Unmodeled nesting and the borderline direct path combine as well, since accounting for clustering would widen intervals and make the direct path even less distinguishable from zero. On the other side, the likely effects of nonresponse and of employees' doubts about anonymity would narrow score ranges and weaken correlations. Weighing these together, the direction of the main findings seems secure, the exact sizes of the effects are uncertain and the causal order remains an open question.

Conclusion

The findings are best read as a well-measured, cross-sectional description of how leadership, safety and voice relate among revenue cycle employees in three health systems. The single time point, single source of data and unmodeled nesting are the main reasons the results cannot establish a causal sequence, and the broad measures and limited power for the direct path narrow what can be said about specific behaviors and direct influence. Each limitation points to a design improvement, which Module 4 turns into recommendations for research.

References

Chamberlin, M., Newton, D. W., & LePine, J. A. (2017). A meta-analysis of voice and its promotive and prohibitive forms: Identification of key associations, distinctions, and future research directions. Personnel Psychology, 70(1), 11-71. https://doi.org/10.1111/peps.12185

Maxwell, S. E., & Cole, D. A. (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12(1), 23-44. https://doi.org/10.1037/1082-989X.12.1.23

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