HW410 Unit 7 Resilience Factor Analysis Example

Baking for Friends While the Kitchen Was Gone: A Unit 7 Resilience Factor Analysis of a Bakery Owner After a Fire

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Purdue University Global

HW410: The Science of Stress and Resilience

Unit 7 Resilience Factor Analysis

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The baker, her bakery, her family and her scores are composite; the resilience scale and resilience research cited are real.

The Case

Teresa, a composite 46-year-old owner of a neighborhood bakery, lost her kitchen to an electrical fire in January. The front of the shop survived, but the ovens, mixers and walk-in cooler were destroyed. The bakery stayed closed for four months. Teresa kept paying her two longtime employees half wages from savings, argued for eleven weeks with her insurer over the value of the equipment, and reopened in May in a smaller rented space two blocks away with one of the original ovens repaired and a used mixer.

Measuring Bouncing Back

Teresa completed the Brief Resilience Scale twice, once two weeks after the fire and again at reopening. The scale has six items that ask how well a person bounces back from hard times, such as "I tend to bounce back quickly after hard times" and "It is hard for me to snap back when something bad happens." Each item takes an agreement rating on a five-point scale, with the three negatively worded items reverse-scored, and the score is the mean of the six (Smith et al., 2008). The scale's authors designed it to measure the ability to recover from stress rather than the resources that might support it.

Teresa's scores: 2.5 at two weeks, 3.7 at reopening.

The change is consistent with a growing sense of recovery, though a self-report scale taken at two difficult moments cannot show what produced it. That is the work of the factor analysis.

Resilience as Process

Research on adults after loss and trauma suggests that resilience is common rather than rare: many people maintain relatively stable functioning after highly disruptive events (Bonanno, 2004). Studies of resilience in development reached a similar conclusion, describing it as arising from ordinary resources and relationships rather than extraordinary qualities (Masten, 2001). This framing matters for the analysis: if resilience depends on ordinary, identifiable factors, those factors can be named, and some can be strengthened.

Factor Table

Each factor is listed with its direction, the evidence for it in the case and how open it is to action.

Building factors:

1. Sister's childcare help. Evidence: her sister took Teresa's two children after school four days a week so she could meet with the insurer and contractors. Open to action: moderate; depends on the sister.

2. Messages from regular customers. Evidence: more than sixty notes and messages, some with orders "for when you reopen." Open to action: low; came unprompted, though Teresa could have shared updates to keep them engaged.

3. Baking for friends at home. Evidence: Teresa baked bread twice a week in her home oven for neighbors and friends, keeping a skill and routine alive. Open to action: high; entirely in her control.

4. Keeping her staff. Evidence: paying half wages kept a sense of obligation and team. Open to action: moderate; financially costly.

5. Past experience. Evidence: she had survived a slow first year in business ten years earlier and "knew it could get better." Open to action: low, but can be recalled deliberately.

Eroding factors:

1. Sleep lost to insurance worry. Evidence: she reported waking at 4 a.m. most nights during the claim dispute. Open to action: moderate; a public adjuster or set times for claim work might have helped.

2. Financial drain. Evidence: savings fell by about two thirds. Open to action: low in the short term.

3. Isolation from the daily shop routine. Evidence: she missed the early-morning rhythm and the customers. Open to action: moderate; partly offset by home baking.

4. Uncertainty about reopening. Evidence: no reopening date until April. Open to action: low.

Interpretation

The factors that did the most to keep Teresa going were ordinary ones, a sister, neighbors' messages and bread baked in a home oven, and the most important of them, keeping her craft alive at home, was also the one most fully in her own hands.

The eroding factors clustered around the insurance dispute: lost sleep, financial worry and uncertainty all intensified during those eleven weeks. That suggests the dispute, rather than the fire itself, was the period of greatest strain, and that help with the claim might have protected her more than any coping technique.

What the Analysis Suggests

If Teresa faced a similar setback again, or if a wellness professional were advising someone in her position, the analysis suggests three priorities: protect the activity that keeps identity and skill alive, ask for practical help early, especially with complex paperwork, and keep connected with the people who value the work. These are specific to her case, but they illustrate how resilience factors can become a plan.

Limits

The analysis rests on Teresa's own account, gathered after the fact, which may emphasize what she now sees as important. The scale measures perceived ability to recover, not recovery itself. Factors that operated outside her awareness may be missing.

References

Bonanno, G. A. (2004). Loss, trauma, and human resilience: Have we underestimated the human capacity to thrive after extremely aversive events? American Psychologist, 59(1), 20-28. https://doi.org/10.1037/0003-066X.59.1.20

Masten, A. S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56(3), 227-238. https://doi.org/10.1037/0003-066X.56.3.227

Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194-200. https://doi.org/10.1080/10705500802222972