How do you measure hardiness in AD caregivers?
Among 435 Iranian AD family caregivers, the new FCHS showed five factors explaining 58.72% variance with acceptable CFA fit and reliability.
Source
Development and Psychometric Evaluation of Family Caregivers' Hardiness Scale: A Sequential-Exploratory Mixed-Method Study
Study at a glance
- Design
- Cross-sectional — Sequential-exploratory mixed-method scale development (qual items + EFA/CFA psychometrics)
- N
- N=435 · Family caregivers in psychometric step; mean age 50.26
- Population
- Iranian family caregivers of patients with Alzheimer’s disease
- Outcome
- Validity/reliability of Family Caregivers’ Hardiness Scale (FCHS)
Structured fields used in claim comparison tables when every cited study has a complete layer.
What they did
Clarified hardiness via content analysis, then tested face/content validity and EFA/CFA psychometrics on an online caregiver sample.
What they found
Five factors (religious coping, self-management, empathic communication, family affective commitment, purposeful interaction); good CFA fit and acceptable reliability/stability.
The limits
What it doesn't show
Scale validation in one cultural sample does not prove intervention effects of raising hardiness scores.
Key terms
- Hardiness
- Commitment, control, and challenge attitudes under stress (Kobasa).
- FCHS
- Family Caregivers’ Hardiness Scale developed here.
- EFA/CFA
- Exploratory then confirmatory factor analysis.
- Sequential-exploratory mixed-method
- Qualitative item generation followed by quantitative psychometrics.
- Religious coping
- Largest named FCHS factor (5 items).
- Internal consistency
- Reliability of scale scores across items.
Flashcards
Research intelligence for this paper
See its role on concept claims, tensions it is part of, placement history, and related discoveries.
Quiz yourself
Psychometric n:
Common questions
Psychometric n?
435 caregivers.
Factors / variance?
Five factors; 58.72% variance.
Design?
Cross-sectional sequential-exploratory mixed-method.
CFA result?
Good model fit.
More on Stress