WMBA 6401 Week 2 Measurement Rationale Example

Three Measures for Why Late-Branch Library Assistants Leave, and Four Plausible Ones Set Aside: A Measurement Rationale Built Around One Talent Question

Student Name

Walden University

WMBA 6401: Human Resource Analytics

Instructor Name

Month Day, Year

Three Measures for Why Late-Branch Library Assistants Leave, and Four Plausible Ones Set Aside: A Measurement Rationale Built Around One Talent Question

The Talent Question

Week 1 established that library assistants at the four Elk River County Library branches open until 9 p.m. resign at about twice the rate of assistants at the other ten branches. The library is the composite county system of 14 branches used in this course. The talent question for this term is: why do assistants at the late-closing branches leave, and what would keep them? The system's HR information system, scheduling software, exit process and payroll offer many things that could be counted. This rationale chooses three and explains why several plausible candidates were left out.

The Measures Chosen

Table 1

Three Measures and What Each Contributes

Definitions use systems the library already has; the library is composite.

Why These Three

The first measure separates two explanations that look identical in the Week 1 table. If assistants at late branches leave because of evening hours, turnover should rise with the share of evening hours even within a branch. If they leave because of something about those branches, such as a particular manager or a busy location, turnover should be high there regardless of hours. Breaking it out by tenure adds a second test: if most leavers are in their first year, the problem may be how people are hired and introduced to the job.

The second measure addresses a driver the research supports. Henly and Lambert (2014), studying hourly retail employees across 21 stores, found that unpredictable work schedules were associated with greater work-life conflict and stress, independent of other features of working hours. Late branches cover evening shifts with more last-minute swaps, and the scheduling system records every change and when it was made.

The third measure supplies reasons. Counts can show where and when people leave but not why, and Hom et al. (2017), reviewing a century of turnover research, emphasized that leaving often follows a combination of attitudes, alternatives and shocks that only the person can describe. Exit interviews alone hear from people who have already decided; stay interviews add those who are still there.

Measures Set Aside, and Why

Table 2

Plausible Measures Not Used for This Question

Composite reasoning for a composite library system.

Each of these could be counted, and each would produce a number for a dashboard. None helps answer this particular question better than the three chosen. The engagement score would be the most tempting, since leaders already trust it, but it averages across dozens of items and would arrive too late. Time to fill matters to the branches, and it will appear in Week 4's recruiting analysis, but it describes what happens after someone leaves. The pay measure would be informative in a system with pay discretion; at Elk River, the county scale removes it as an explanation. Absenteeism, if it rises at late branches, is more likely a symptom of the schedule problem than a separate cause.

How the Measures Will Be Collected

Each measure comes from a system the library already runs, which keeps the cost of collection low. Turnover by evening-hours share requires joining two existing reports: resignations from the HR information system and each assistant's share of hours after 5 p.m. from the scheduling system, matched by employee number. The HR analyst can produce the joined file in about two hours. The schedule change rate is a standard report in the scheduling software, filtered to shifts changed within seven days of the shift date. Exit interview reasons are already recorded by HR; stay interviews are new, and branch managers will conduct twelve of them in the next month using the same eight reason categories, which takes about thirty minutes each.

What Would Make the Rationale Wrong

The rationale assumes the main differences between late and standard branches are in schedules and staffing. If the measures show no difference in schedule change rates and leavers do not mention scheduling, the rationale was wrong, and attention should move to the branches themselves: their managers, their workload and their patrons. That outcome would still be useful, because it would rule out the cheapest fix.

The three measures will be reported together in a single table, so the leadership team sees them side by side rather than as three separate findings.

What the Three Measures Will Decide

If turnover tracks evening hours and schedule changes, and leavers name scheduling in interviews, the response is a scheduling change: posting schedules three weeks ahead and limiting late changes. If turnover is concentrated in first-year assistants at those branches regardless of hours, the response lies in hiring and onboarding. If neither pattern appears, the branch managers become the next question. Griffeth et al. (2000) linked leaving to attitudes such as satisfaction and commitment in study after study, and the three measures are designed to find which concrete conditions at Elk River sit behind those attitudes.

References

Griffeth, R. W., Hom, P. W., & Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26(3), 463-488. https://doi.org/10.1177/014920630002600305

Henly, J. R., & Lambert, S. J. (2014). Unpredictable work timing in retail jobs: Implications for employee work-life conflict. ILR Review, 67(3), 986-1016. https://doi.org/10.1177/0019793914537458

Hom, P. W., Lee, T. W., Shaw, J. D., & Hausknecht, J. P. (2017). One hundred years of employee turnover theory and research. Journal of Applied Psychology, 102(3), 530-545. https://doi.org/10.1037/apl0000103