# Validation of the Retirement Resources Inventory in Persian: Assessing Psychometric Properties among Iranian Retirees

**Authors:** Elaheh Shoushtari-Moghaddam, Abdolrahim Asadollahi, Mohammad Hossein Kaveh

PMC · DOI: 10.1155/2024/1467773 · Current Gerontology and Geriatrics Research · 2024-08-26

## TL;DR

This study translated and validated a retirement resources questionnaire for use among Iranian retirees, confirming its reliability and usefulness for future research.

## Contribution

The Persian version of the Retirement Resources Inventory is newly validated for reliability and psychometric properties in Iranian retirees.

## Key findings

- The Persian RRI has 35 items across eight factors with strong validity and reliability metrics.
- Confirmatory factor analysis supported the final model with fit indices (χ2/df=1.95, TLI=0.87, RMSEA=0.05).
- Reliability measures showed Cronbach's alpha from 0.71 to 0.83 and ICC of 0.93.

## Abstract

Retirement resources are considered one of the key determinants of well-being and coping with the challenging situations of retirement courses. Therefore, due to the lack of a valid questionnaire for research and practice at the national level as well as international comparisons, this study was conducted to translate the original retirement resources inventory into Persian and assess the validity and reliability of the Persian version.

The research employed a cross-sectional descriptive methodological approach, beginning with translating the questionnaire into Persian. Psychometric properties were evaluated through face, content, construct validity, and reliability tests. 335 participants were involved in assessing construct validity, while 30 participants contributed to the internal consistency test, and 20 took part in the test-retest reliability test. Data analysis was performed using SPSS Version 26 and AMOS 24 software.

The exploratory factor analysis (EFA) revealed eight components with eigenvalues greater than 1, accounting for 46.68% of the variance, with no questions being removed. Confirmatory factor analysis (CFA) indicated that all items had a factor loading above 0.3, resulting in a final model with 35 items and eight factors, supported by fit indices (χ2/df = 1.95, TLI: 0.87, IFI = 0.88, RMSEA = 0.05, GFI: 0.85). Reliability measures showed Cronbach's alpha coefficients ranging from 0.71 to 0.83 and an intraclass correlation coefficient (ICC) of 0.93.

The study concludes that the Persian version of the RRI, encompassing 35 items across eight dimensions, is a valid and reliable tool for the Iranian retiree population. This validated inventory can be utilized in future national and international studies, particularly experimental ones, to develop well-being and retirement adjustment programs, thereby aiding in understanding and supporting Iranian retirees.

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), deficiencies (MESH:D007153), -being (MESH:C000719215), depression (MESH:D003866), mental disorders (MESH:D001523), IR.SUMS.SCHEANUT.REC.1400.024 (MESH:C537629), adjustment problems (MESH:D000275)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

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Source: https://tomesphere.com/paper/PMC11368552