A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population

Background: The absence of standard tools to measure the religious attitudes toward organ donation creates the need for new instruments, and it is important to design and to validate a scale for this purpose. The current study aims to develop and examine the psychometric properties of an instrument for religious attitudes test on organ donation (IRATOD) as a new measure in Persian language. Materials and Methods: In this methodological study, the initial version of the instrument to measure religious attitudes toward organ donation was developed through semi-structured interviews and literature review. In the second phase, psychometric evaluation followed four steps: (1) face validity ( n = 20), (2) content validity ( n = 10 experts), (3) construct validity by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) ( n = 220), and (4) reliabilities of test–retest stability and internal consistency ( n = 20). SPSS version 16 and EQS 6.4 software were used for data analysis. Results: The obtained instrument included 15 items. The average content validity ratio and content validity index were 0.81 and 0.92, respectively. Kaiser–Meyer–Olkin coefficient (>0.70) and Bartlett’s sphericity test ( P < 0.001) showed that the data had a normal distribution and the sample size was ideal for factor analysis. EFA has given rise to the extraction of three factors of compatibility of organ donation with religious beliefs, beliefs about soul and body relationship, and effects of organ donation on future life explained 62.07% of the total variance. Furthermore, CFA of the items resulted in a suitable and good estimate based on the general fit indices of the model (root mean square error of approximation = 0.07, incremental fit index = 0.90, goodness of fit index [GFI] =0.89, comparative fit index = 0.93, adjusted GFI = 0.86). The Cronbach’s alpha coefficient of the 15-item IRATOD was 0.70 and for the factors in the instrument was between 0.65 and 0.90. The intraclass correlation coefficient was 0.88 interval from 0.78 to 0.94. Conclusions: The newly developed IRATOD-15 which has good psychometric properties can be useful for shedding light on the organ donation-related attitudes and beliefs of populations in researches with various designs such as formative and interventional.

Authors

Institutions

Publication Details

Journal
Indian Journal of Transplantation
Published
2025-01-01
DOI
https://doi.org/10.4103/ijot.ijot_47_24
Primary Topic
Organ Donation and Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population

Sakineh Rakhshanderou, Samira Daneshvar, M. Latifi, Mohtasham Ghaffari et al.
Indian Journal of Transplantation
Organ Donation and Transplantation
article

A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population

Sakineh Rakhshanderou, Samira Daneshvar, M. Latifi, Mohtasham Ghaffari, Morteza Abdoljabbari
article en

Abstract

Background: The absence of standard tools to measure the religious attitudes toward organ donation creates the need for new instruments, and it is important to design and to validate a scale for this purpose. The current study aims to develop and examine the psychometric properties of an instrument for religious attitudes test on organ donation (IRATOD) as a new measure in Persian language. Materials and Methods: In this methodological study, the initial version of the instrument to measure religious attitudes toward organ donation was developed through semi-structured interviews and literature review. In the second phase, psychometric evaluation followed four steps: (1) face validity ( n = 20), (2) content validity ( n = 10 experts), (3) construct validity by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) ( n = 220), and (4) reliabilities of test–retest stability and internal consistency ( n = 20). SPSS version 16 and EQS 6.4 software were used for data analysis. Results: The obtained instrument included 15 items. The average content validity ratio and content validity index were 0.81 and 0.92, respectively. Kaiser–Meyer–Olkin coefficient (>0.70) and Bartlett’s sphericity test ( P < 0.001) showed that the data had a normal distribution and the sample size was ideal for factor analysis. EFA has given rise to the extraction of three factors of compatibility of organ donation with religious beliefs, beliefs about soul and body relationship, and effects of organ donation on future life explained 62.07% of the total variance. Furthermore, CFA of the items resulted in a suitable and good estimate based on the general fit indices of the model (root mean square error of approximation = 0.07, incremental fit index = 0.90, goodness of fit index [GFI] =0.89, comparative fit index = 0.93, adjusted GFI = 0.86). The Cronbach’s alpha coefficient of the 15-item IRATOD was 0.70 and for the factors in the instrument was between 0.65 and 0.90. The intraclass correlation coefficient was 0.88 interval from 0.78 to 0.94. Conclusions: The newly developed IRATOD-15 which has good psychometric properties can be useful for shedding light on the organ donation-related attitudes and beliefs of populations in researches with various designs such as formative and interventional.

Indian Journal of TransplantationVol. 19(1)
Shahid Beheshti University of Medical Sciences (IR)
Openalex Percentile: Top 91%
Organ Donation and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.