Abstract
This paper reports on the psychometric properties of the Religious Orientation Scale (ROS) with a sample of 311 Iranian patients who were suffering from cancer between September and December 2020. A cross-sectional study design was used, and convenience sampling was employed. Reliability was evaluated by internal consistency Cronbach’s alpha, McDonald’s omega, and average inter-item correlation. The exploratory factor analysis showed that the ROS had 15 items and two factors (religious identity and personal identity) that explained 43.2% of the total variance of religious orientation in Iranian patients with cancer. Construct validity was assessed by means of confirmatory factor analysis. The internal consistency and composite reliability were acceptable. The results indicate that the ROS can produce reliable and valid data on religious orientation in a sample of Iranian patient with cancer.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Cancer, a common cause of death, has grown rapidly globally, accounting for an estimated 10 million deaths in 2020, whereby in every one in five people diagnosed with cancer, one in eight men and one in eleven women died due to this disease (Ferlay et al., 2020) becoming an important public health problem. An estimated 131,191 new cancer cases have occurred in Iran in 2020, with breast cancer being the most diagnosed cancer type (12.9%), followed by stomach (11.2%), colorectum (9.1%), and lung (8%) cancers (Ferlay et al., 2020). The cancer burden exerts enormous emotional, financial, and physical pressure not only on the individuals. It also becomes as source of stress to their families and the communities around them, especially during cancer diagnosis, treatment, and follow-up processes, resulting in reduced quality of life and health (Rabitti et al., 2020; Salehi Zahabi & Mahmoudi, 2017). In addition, this experience creates negative psychological effects which include uncertainty, fear, anguish, losses (Prado et al., 2020), and a substantial amounts of anxiety and depression (Huang et al., 2020) and high suicidal risk (Amiri & Behnezhad, 2020). On the contrary, previous studies have also shown positive experiences, such as improvement in relationships and appreciation of life (Ha & Sim, 2014; Tanyi et al., 2020) among cancer patients, leading to improved quality of life (Farahbakhshbeh et al., 2019).
Individuals with cancer may resort to religion (Karami et al., 2018) to deal with their painful experiences and symptoms, as religion can provide a source of copings during these difficult times (Gall & Bilodeau, 2020; Rabitti et al., 2020; Rana et al., 2015) which helps individuals to make sense of the purpose of life, inner peace, faith (Gall et al., 2009), and the possibility of premature death (Lieberman et al., 2012). Religion enables individuals to realize the purposefulness of the creations (Gall & Bilodeau, 2020; Karami et al., 2018; Rabitti et al., 2020) especially during hard times and may result in self-empowerment to cope with the stress until adaptation occurs (Gall & Bilodeau, 2020; Rabitti et al., 2020). Hence, promoting spiritual well-being and hope can be beneficial to sufferers from cancer (Komariah et al., 2020; Martins et al., 2020). Believing in God empowers individuals with cancer to have serenity that strengthens their relationships with families (Karami et al., 2018), improving psychosocial adaption (Paredes & Pereira, 2018; Park & Cho, 2017) and attitude toward the disease (Wang et al., 2017), thus fostering better quality of life (Salehi Zahabi & Mahmoudi, 2017).
One of the concepts associated with empowerment in individuals with cancer is ROS. An early study by Allport and Ross (1967a, b) measured religious orientation from two different aspects: intrinsic and extrinsic orientation (Allport & Ross, 1967a, b; Batson, 1976). Intrinsic religious orientation refers to individuals who truly embrace the belief and faith in their lives and live in accordance with the religious principles with distinctive purpose and meaning, whereas individuals with extrinsic religious orientation use their faith and religious beliefs to meet their personal needs and social objectives (Allport & Ross, 1967a, b). ROS developed by Allport and Ross (1967a, b) is the most fundamental and widely used scale. Over time, this religious orientation measure underwent a series of modifications forming new scales such as Religious Orientation Scale-Revised (ROS-R) by Gorsuch and McPherson (1989) and Age Universal Intrinsic/Extrinsic Scale (Gorsuch & Venable, 1983), to name a few. Kirkpatrick (1989) further improved the ROS scale by categorizing extrinsic orientation to two sub-components, personal and social extrinsic orientations, whereby they refer to the use of religion as safety, comfort or relief, and social relationships, respectively (Batson & Ventis, 1982). Subsequently, studies have found that religious orientation plays a vital role in one’s mental and physical health (Ai et al., 2016; Steffen et al., 2015) and significantly predicts religious coping (Cruz-Ortega et al., 2015). In addition, religion reduces the state of negative emotions such as anxiety, distress, hopelessness, and depression (McCoubrie & Davies, 2006) among individuals with cancer and is a powerful protector against suicide (Al-Sharifi et al., 2015; Sisask et al., 2010) and also predicts high levels of resilience to adversity (Sánchez-Teruel & Robles-Bello, 2020). Studies have found that there is a link between survivors of cancer and spiritual well-being even after the treatment has ended (Peterman et al., 2002; Sherman et al., 2015). Religion can give hope to the cancer patients and allows them to cope with the suffering from their disease. Previous studies have found that the majority of cancer survivors reported the importance of religion in coping with their disease (Canada et al., 2016; Bowie et al., 2017).
The current study evaluates the psychometric properties of the Persian version of the (P-ROS) in Iranian patients with cancer. To date, very little is known about the measurement tools used for assessing the religious orientation among these patients. Therefore, this study seeks to evaluate the reliability, validity, and factor structure of the P-ROS in Iranian patients with cancer.
Method
Design and Participants
The cross-sectional study design was used to evaluate the psychometric properties of a Persian version of the P-ROS among Iranian patients who were suffering from cancer. The inclusion criteria of this study were: having a diagnoses of cancer, being 18 years old or older, willingness to participate at the study, and speaking Persian. The survey was conducted in Iran between September and December 2020. A convenience sampling method was used. A total of 311 patients were enrolled in this study. The sample size was determined based on formulas for structural equation models, with an effect size = 0.18, statistical power level = 0.8, number of latent variables = 2, number of observed variables = 20, and p-value = 0.05.
Measures
The first part of the questionnaire asked participants to report their basic demographic characterizes, such as gender, age, marital status, employment status, current economic condition, and education level. Patients were also asked to state the type of cancer, and duration since cancer diagnosis. In the second section, the 20 items ROS that were developed by Allport and Ross (1967a, b) were used to measure the patients’ religious orientation. Patients were asked to indicate whether they agree with each statement (e.g., “I try to carry my religion over into my”) using a five-point Likert scale ranging from 1-(strongly disagree) to 5-(strongly agree). In accord with the scoring procedure, three items were coded reversely (e.g., “It does not matter so much what I believe so long as I lead a moral life”).
Procedure
A forward–backward translation technique reported by Beaton et al., (2000) was used. Two English–Persian translators were asked to independently translate the ROS from English to Persian. The two independently translated the P-ROS; these translations were then reviewed and evaluated by a group of experts, including some authors of this article (H.SH and D.K) as well as two professional translators, to construct a single P-ROS. Subsequently, the single P-ROS was back-translated to English by a Persian–English translator and confirmed by the experts on the correctness of the translation.
Content Validity
To ensure the validity of the content, the P-ROS was assessed both qualitatively and quantitatively. For qualitative assessment, the questionnaire was given to 10 experts in the field of health and psychology to obtain their feedback and comments on the accuracy of the wording, item allocation, and representativeness of the items. The quantitative assessment was achieved by the use of content validity ratio (CVR) and modified kappa coefficient (K) to make sure the instrument was fully assessed or measured the construct of interest. To compute CVR and K, this study asked the above-mentioned 10 experts to rate the necessity of the ROS items using: not essential, useful but not essential, and essential. Then, based on the formula of (Ne − (N/2))/(N/2), the CVR was calculated (Ne is the number of experts who rate the items as “Necessary,” and N is the total number of the experts) (Cook & Beckman, 2006). In this case, when the number of experts is 10, the value of more than 0.62 for CVR was considered acceptable (Lawshe, 1975). Thereafter, the K of each item was calculated to evaluate item relevancy (relevant = 4, irrelevant = 1) based on the rating given by the 10 experts, and values greater than 0.78 are acceptable (Polit & Yang, 2016).
Construct Validity and Reliability
The construct validity on the psychometric evaluation of the P-ROS was assessed by conducting both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using SPSS26 and AMOS26, respectively. Specifically, construct validity was evaluated through convergent validity and discriminant validity. To do so, this study randomly separated the dataset into two. The first dataset (n = 156) was used for EFA, and second dataset (n = 155) was used for CFA. This study applied maximum likelihood EFA with Promax rotation, and the Kaiser–Meyer–Olkin (KMO) and Bartlett’s test of sphericity was employed to check the relevance and suitability of the sample for CFA. The factor structure was extracted based on (1) eigenvalues greater than 1; (2) commonalities of greater than 0.2; and (3) scree plots. Once the factor structure formed from EFA, then the maximum likelihood CFA was performed to confirm and validate the factor structure obtained from the results of EFA. The model fit was evaluated according to several fitness indexes, such as Chi-square (χ2) test, Chi-square (χ2)/degree of freedom (df) ratio less than 5, goodness-of-fit index (GFI), comparative fit index (CFI), normed fit index (NFI), incremental fit index (IFI), and Tucker–Lewis index (TLI), more than 0.9, standardized root-mean-square residual (SRMR) less than 0.09, and root means the square error of approximation (RMSEA) less than 0.08 (Pahlevan Sharif & Sharif Nia, 2021; She et al., 2021). Convergent validity was evaluated through construct composite reliability (CR) > 0.7, and average variance extracted (AVE) > 0.5 and less than its respective CR (Hair et al., 2010; Rahmatpour et al., 2020). For discriminant validity, this study used both Fornell and Larcker and heterotrait–monotrait ratio of correlations (HTMT) criterion, where the square root of each construct’s AVE should be higher than its correlation with other constructs (Fornell & Larcker, 1981), and all values in the HTMT matrix table should be less than 0.85 (Henseler et al., 2015).
Reliability
Factor’s internal consistency was evaluated using Cronbach’s alpha and McDonald’s omega of more than 0.7 (Rahmatpour et al., 2020). Moreover, CR and maximum reliability (MaxR) were used to assess the construct reliability in the measurement model, and generally, the minimum value of 0.7 is considered acceptable (Hair et al., 2014). To evaluate the test–retest stability of the ROS over an interval of two weeks using two-way mixed intra-class correlation coefficient (ICC) for absolute agreement, the ICC more than 0.8 was considered as almost perfect.
Multivariate Normality and Outliers
This study assessed the normality of the data through both univariate and multivariate normality. The normality of the univariate distributions was examined for outliers that fall outside the expected population, and the skewness and kurtosis of the data. Where the normality of the multivariate distributions was evaluated using Mardia’s coefficient of multivariate kurtosis, Mardia’s coefficient of more than 7.98 reveals deviation of multivariate normality (Arbuckle & Wothke, 1999; Gao et al., 2008). The multivariate outliers are assessed by their Mahalanobis distances (p < 0.001), which represent the squared distance (Tabachnick et al., 2007).
Ethical Considerations
This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences, north of Iran (Approval Code: IR.MAZUMS.REC.1400.10523). We followed ethical principles in this study, including: informing the participants about the goals and process of the study, reporting the results while maintaining the patient’s independence, advising the participants that their participating is voluntary, and obtaining written informed consent from all participants.
Results
The sample of this study consisted of 152 males (48.9%) and 159 females (51.1%). The mean age of the patient was 52.8 years (SD = 22.0), and the majority of the patients were married (78.1%). Their economic status was reported by 90% of the patients as moderate and weak. Most of the patients (34.4%) in the study had gastrointestinal cancer. Most of the patients (57.8%) reported that they do not know the stage of their cancer. On average, the patients had been diagnosed and experienced treatment with cancer for 20.2 months (SD = 26.8). The characteristics profile of the patients is presented in Table 1.
CVR and K were used to evaluate the content validity of the P-ROS. Based on the feedback from 10 experts, the CVR for the 20-item ROS was greater than 0.62 (Lawshe, 1975). Furthermore, the results of the K for all items of the ROS were greater than 0.6. Thus, all items were considered appropriate at this stage. Table 2 shows the distribution properties of the ROS’s items.
Table 3 shows the results of the maximum likelihood EFA with Promax rotation on the P-ROS (n = 156). The results of the KMO (0.908) and the Bartlett’s test of sphericity (p < 0.001, χ2 = 1819.57, df = 105) indicate an adequate and appropriate sampling for factor analysis. There were two factors extracted while conducting the EFA, and these two factors consisted of 15 items [religious identity (Factor 1): 12 items; personal identity (Factor 2): 3 items] explaining 43.202% of the total variance. Five items (2, 16, 18, 19, and 20) were excluded due to the low communalities of less than 0.2.
Next, the maximum likelihood CFA (n = 155) was conducted to confirm and validate the factor structure extracted from EFA (Fig. 1). The results of CFA showed that the model fit of two-factor measurement model was good as indicated by χ2 (89) = 196.46, p < 0.001, χ2/df = 2.21, GFI = 0.92, CFI = 0.94, NFI = 0.90, IFI = 0.94, TLI = 0.93, SRMR = 0.05, RMSEA (90% CI) = 0.06 [CI: 0.05 to 0.07].
The convergent validity of each factor was accessed using CR and AVE. The results showed that AVE and CR for religious identity were 0.44 and 0.90, respectively. AVE and CR for personal identity were 0.39 and 0.65, respectively. Although the AVE for both factors was less than 0.5, Fornell and Larcker (1981) recommended that if AVE is less than 0.5, CR is greater than 0.6 for psychological construct, and the convergent validity of the construct can be established. Indeed, AVE is a strict measure of convergent validity and a more conservative measure than composite reliability. Hence, on the basis of CR, convergent validity for both constructs was achieved. The discriminant validity was assessed using both Fornell and Larcker and HTMT criteria. The results showed that the square root of AVE (religious identity: 0.66; personal identity: 0.63) for each factor was higher than its correlation with other factors, where the correlation between religious identity and personal identity was 0.04. Also, the value between religious identity and personal identity in the HTMT matrix (0.03) was less than 0.85, indicating discriminant validity of both factors was established in this study.
The internal consistency and construct reliability were assessed through Cronbach’s alpha, McDonald’s omega, CR, and Max R. The results showed that Cronbach’s alpha and McDonald’s omega for religious identity were 0.89 (95% CI.: 0.88 to 0.91) and 0.90 (95% CI.: 0.86 to 0.91), respectively, indicating good internal consistency. Also, the results of CR (0.90) and MaxR (0.92) for religious identity were greater than 0.7, indicating good construct reliability. On the other hand, Cronbach’s alpha, McDonald’s omega, CR, and MaxR for personal identity were 0.63 (95% CI: 0.55 to 0.69), 0.65 (95% CI: 0.64 to 0.64), 0.65, and 0.66, respectively. Although the Cronbach’s alpha, McDonald’s omega, CR, and MaxR for personal identity were less than 0.7 but greater than 0.6, it was acceptable for internal consistency and construct reliability in psychology. The reason for lower Cronbach’s alpha, McDonald’s omega, CR, and MaxR for personal identity could be due to fewer item of this factor. Moreover, the average measures of ICC showed that stability of ROS was evaluated as almost perfect (ICC = 0.92, 95% CI: 0.82 to 0.96).
Discussion
The results of this study support a valid and reliably revised version of the ROS with 15 items and two factors that explained 43.2% of the total variance of religious orientation in Iranian patients with cancer. Also, the results of CFA confirmed the model goodness of fit. Although the initial psychometric studies have determined a three-factor structure of the intrinsic/extrinsic and quest ROS is valid (Brewczynski & MacDonald, 2006a, b; Genia, 1993; Gorsuch & McPherson, 1989; Kirkpatrick, 1989), some of the other psychometric evaluations showed different results. Brewczynski and MacDonald (2006a, b) acknowledged that the extrinsic ROS items have the potential to be categorized as two factors when CFA has been conducted separately for this domain (Brewczynski & MacDonald, 2006a, b). Kamaluddin et al. (2017) reported a revised version of ROS consisting of 14 items with three factors titled intrinsic orientation, extrinsic-socially orientation, and extrinsic-personally orientation (Kamaluddin et al., 2017). Overall, the existing knowledge regarding the ROS psychometric evaluations has demonstrated the complexity of factorial structure of this scale (Brewczynski & MacDonald, 2006a, b).
In this study, five items (items two, 16, 18, 19, and 20) were removed from the scale based on CFA results. However, the original ROS had 20 items in which the intrinsic scale had 9 items, while the extrinsic scale had 11 items (Allport & Ross, 1967a, b). All of the excluded items in the current psychometric evaluation were from the extrinsic scale. Closer examination of the pattern of findings obtained from some Iranian studies revealed the significant importance of intrinsic religious orientation in the face of challenges and adversities. In comparison with the extrinsic religious orientation, it has been indicated that intrinsic religious orientation has the highest positive correlation with post-traumatic growth (Seidmahmoodi et al., 2011) and predicts better adjustment to adversities (Ghorbani et al., 2002). These findings may contribute to a more nuanced understanding of why some extrinsic scale items were removed. Beyond the intrinsic and extrinsic orientation, Iranian muslims perceived their religion as inspirational, humanitarian, and sacrificial (Khodadady & Bagheri, 2012).
The high level of CR, Cronbach’s alpha, McDonald’s omega, and the correlation between the items demonstrated that the revised two factors of the scale had acceptable internal consistency and reliability. The current findings are in accordance with the earlier studies. The Allport and Ross’s (1967a, b) version of the religious orientation scale had a reliability of 0.79. The Genia’s revised version of the orientation scale also demonstrated an increased reliability (0.86) when applied to people of non-Christian faiths (Genia, 1993).
The AVE and CR findings of the current study indicated that the short 15-item two-factor Persian version of the P-ROS has adequate convergent validity. This suggests that a higher religious orientation is associated with the more positive attitudes toward the meaning of life in intrinsic and extrinsic domains. The literature suggests that spiritual practices such as reflection, going beyond oneself to reach a higher power, and one’s relationship with God may provide effective coping strategies that may help the individual find meaning and purpose in stressful situations. It may also result in self-empowerment to cope with the stressor until adaptation occurs (Baldacchino & Draper, 2001; Gall & Bilodeau, 2020; Rabitti et al., 2020). In the case of patients with cancer, studies have indicated that meaning, peace, and faith promote the spiritual well-being (Rabitti et al., 2020), whereas some patients may experience an emotional and spiritual struggle in their adaptation process (Gall & Bilodeau, 2020). A qualitative study in Iranian patients with cancer found that participants may be questioning the spiritual values and loss, or question their faith. They may experience a lack of intimacy with God or question Gods justice (Ghaempanah et al., 2020). Despite such findings, many studies have been conducted among Iranian patients with chronic disease and have found that a positive role of religion was supportive of their care. In this regard, implementing religious psychotherapy has been found to be an effective intervention to improve mental health and reduce pain in cancer patients (Eilami et al., 2019). Considering the positive significant correlation between self-care and positive religious coping in a sample of Iranian cancer patients (Goudarzian et al., 2019) suggests an improvement in the level of positive religious affiliation that can have a beneficial effect on the self-care of cancer patients. Similarly, the studies conducted with a sample of Iranian patients with heart failure (Kazeminezhad et al., 2020), and diabetic patients (Heidari et al., 2017) have also shown the benefits of religious practice in improving patients’ health.
In addition to the five dropped items, the current study findings demonstrated the item shift between intrinsic and extrinsic domains after EFA. Considering the spiritual orientation as a dichotomous format has several conceptual difficulties. The aforementioned concerns lead to the suggestion that religious orientation has a continuous nature rather than a bipolar concept (intrinsic and extrinsic), because dichotomizing religious orientation precludes the possibility of assessing curvilinear relationships between intrinsic and extrinsic religious orientation and other variables (Jong et al., 2018; Kirkpatrick & Hood, 1990).
Study Limitations
This study has some limitations. A convenience sampling method was used to obtain the sample; thus, the results cannot be generalized to all cancer patients in Iran. Also, further studies with different types of clinical sub-groups (e.g., newly diagnosed cancer patients and cancer survivors) are needed to cross-validate the current study findings. Furthermore, the current study findings indicated that the two-factor model of Persian ROS explains 43.2% of the total variance. Considering that the religious orientation is a culture-sensitive construct (Allport & Ross, 1967a, b; Forouhari et al., 2019; Glenn et al., 1987), and different findings regarding the psychometric evaluation of the ROS across various settings (Allport & Ross, 1967a, b; Brewczynski & MacDonald, 2006a, b), more psychometric evaluation among the study sample is needed.
Conclusion
In conclusion, the present study provides evidence of scale construct validity and reliability of the P-ROS version in Iranian patients with cancer. The study was conducted in response to the lack of specific measurement tools for assessment of religious orientation among patient with cancer in Iran. The instrument will have applications to patients with cancer and religious research, and educational settings, and could facilitate the development and evaluation of intervention programs to improve the quality of life in patients with cancer. Further studies are needed to develop the clinical applicability of the ROS.
References
Ai, A. L., Appel, H. B., & Nicdao, E. G. (2016). Differential Associations of Religious Involvement with the Mental Health of Asian-American Subgroups: A Cultural Perspective. Journal of Religion and Health, 55(6), 2113–2130. https://doi.org/10.1007/s10943-016-0257-0
Al-Sharifi, A., Krynicki, C. R., & Upthegrove, R. (2015). Self-harm and ethnicity: A systematic review. International Journal of Social Psychiatry, 61(6), 600–612. https://doi.org/10.1177/0020764015573085
Allport, G. W., & Ross, J. M. (1967a). Personal religious orientation and prejudice. Journal of Personality and Social Psychology, 5(4), 432. https://doi.org/10.1037/0022-3514.5.4.432
Allport, G. W., & Ross, J. M. (1967b). Personal religious orientation and prejudice. Journal of Personality Social Psychology, 5(4), 432.
Amiri, S., & Behnezhad, S. (2020). Cancer diagnosis and suicide mortality: A systematic review and meta-analysis. Archives of Suicide Research, 24(sup2), S94–S112. https://doi.org/10.1080/13811118.2019.1596182
Arbuckle, J. L., & Wothke, W. (1999). Amos 4.0 user’s guide. SmallWaters Corporation.
Baldacchino, D., & Draper, P. (2001). Spiritual coping strategies: a review of the nursing research literature. Journal of Advanced Nursing, 34(6), 833–841. https://doi.org/10.1046/j.1365-2648.2001.01814.x
Batson, C. D. (1976). Religion as prosocial: Agent or double agent? Journal for the Scientific Study of Religion, 15, 29–45. https://doi.org/10.2307/1384312
Batson, C. D., & Ventis, W. L. (1982). The religious experience: A social-psychological perspective. Oxford University Press.
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (phila Pa 1976), 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
Brewczynski, J., & MacDonald, D. A. (2006a). Confirmatory factor analysis of the Allport and Ross religious orientation scale with a polish sample. The International Journal for the Psychology of Religion, 16(1), 63–76. https://doi.org/10.1207/s15327582ijpr1601_6
Brewczynski, J., & MacDonald, D. A. (2006b). RESEARCH: “Confirmatory factor analysis of the Allport and Ross religious orientation scale with a polish sample.” The International Journal for the Psychology of Religion, 16(1), 63–76. https://doi.org/10.1207/s15327582ijpr1601_6
Cook, D. A., & Beckman, T. J. (2006). Current concepts in validity and reliability for psychometric instruments: Theory and application. The American Journal of Medicine, 119(2), 166.e167-166.e116. https://doi.org/10.1016/j.amjmed.2005.10.036
Cruz-Ortega, L. G., Gutierrez, D., & Waite, D. (2015). Religious orientation and ethnic identity as predictors of religious coping among bereaved individuals. Counseling and Values, 60(1), 67–83. https://doi.org/10.1002/j.2161-007X.2015.00061.x
Eilami, O., Moslemirad, M., Naimi, E., Babuei, A., & Rezaei, K. (2019). The effect of religious psychotherapy emphasizing the importance of prayers on mental health and pain in cancer patients. Journal of Religion and Health, 58(2), 444–451. https://doi.org/10.1007/s10943-018-0696-x
Farahbakhshbeh, S., Mehri Nejad, S. A., & Moazedian, A. (2019). Predicting self-efficacy of women with breast cancer based on quality of life, religious orientation, resilience, death anxiety, psychological hardiness and perceived social support. Iranian Journal of Health Psychology, 2(1), 65–78. https://doi.org/10.30473/ijohp.2020.47518.1053
Ferlay, J., Ervik, M., Lam, F., Colombet, M., Mery, L., Pineros, M., Znaor, A., Soerjomataram, I., & Bray, F. (2020). Global cancer observatory: Cancer today. International Agency for Research on Cancer. Retrieved 2021, from https://gco.iarc.fr/today/data/factsheets/populations/364-iran-islamic-republic-of-fact-sheets.pdf
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Forouhari, S., Hosseini Teshnizi, S., Ehrampoush, M. H. (2019). Relationship between religious orientation, anxiety, and depression among college students: A systematic review and meta-analysis. Iranian journal of public health, 48(1), 43–52. PMID: 30847310; PMCID: PMC6401585.
Gall, T. L., & Bilodeau, C. (2020). The role of positive and negative religious/spiritual coping in women’s adjustment to breast cancer: A longitudinal study. Journal of Psychosocial Oncology, 38(1), 103–117. https://doi.org/10.1080/07347332.2019.1641581
Gall, T. L., Kristjansson, E., Charbonneau, C., & Florack, P. (2009). A longitudinal study on the role of spirituality in response to the diagnosis and treatment of breast cancer. Journal of Behavioral Medicine, 32(2), 174–186. https://doi.org/10.1007/s10865-008-9182-3
Gao, S., Mokhtarian, P. L., & Johnston, R. A. (2008). Nonnormality of data in structural equation models. Transportation Research Record, 2082(1), 116–124. https://doi.org/10.3141/2082-14
Genia, V. (1993). A psychometric evaluation of the Allport-Ross I/E scales in a religiously heterogeneous sample. Journal for the Scientific Study of Religion, 32(3), 284–290. https://doi.org/10.2307/1386667
Ghaempanah, Z., Rafieinia, P., Sabahi, P., Makvand Hosseini, S., & Memaryan, N. (2020). spritual problems of women with breast cancer in Iran: A qualitative study. Health, Spirituality and Medical Ethics, 7(1), 9–15.
Ghorbani, N., Watson, P. J., Ghramaleki, A. F., Morris, R. J., & Hood, R. W., Jr. (2002). Muslim-Christian religious orientation scales: Distinctions, correlations, and cross-cultural analysis in Iran and the United States. The International Journal for the Psychology of Religion, 12(2), 69–91. https://doi.org/10.1207/S15327582IJPR1202_01
Glenn, A. E. G., Gorsuch, R. L., & Davis, A.-L. (1987). A cross-cultural investigation of religious orientation, social norms, and prejudice. Journal for the Scientific Study of Religion, 26(3), 358–365. https://doi.org/10.2307/1386437
Gorsuch, R. L., & McPherson, S. E. (1989). Intrinsic/extrinsic measurement: I/E-revised and single-item scales. Journal for the Scientific Study of Religion, 28(3), 348–354. https://doi.org/10.2307/1386745
Goudarzian, A. H., Boyle, C., Beik, S., Jafari, A., Bagheri Nesami, M., Taebi, M., & Zamani, F. (2019). Self-care in Iranian cancer patients: The role of religious coping. Journal of Religion and Health, 58(1), 259–270. https://doi.org/10.1007/s10943-018-0647-6
Ha, J. Y., & Sim, B. Y. (2014). Posttraumatic growth in young adults who experienced childhood trauma. Advanced Science and Technology Letters, 23, 44–51.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Pearson Education.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariat data analysis (7th edn.). Pearson Education Limited. https://doi.org/10.1007/978-3-319-01517-0_3
Heidari, S., Rezaei, M., Sajadi, M., Ajorpaz, N. M., & Koenig, H. G. (2017). Religious practices and self-care in Iranian patients with type 2 diabetes. Journal of Religion and Health, 56(2), 683–696. https://doi.org/10.1007/s10943-016-0320-x
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Huang, X., Zhang, T.-Z., Li, G.-H., Liu, L., & Xu, G.-Q. (2020). Prevalence and correlation of anxiety and depression on the prognosis of postoperative non-small-cell lung cancer patients in North China. Medicine. https://doi.org/10.1097/MD.0000000000019087
Jong, J., Ross, R., Philip, T., Chang, S.-H., Simons, N., & Halberstadt, J. (2018). The religious correlates of death anxiety: A systematic review and meta-analysis. Religion, Brain & Behavior, 8(1), 4–20. https://doi.org/10.1080/2153599X.2016.1238844
Kamaluddin, M. R., Nasir, R., Sulaiman, W. S. W., Khairudin, R., & Zamani, Z. A. (2017). Validity and psychometric properties of malay translated religious orientation scale-revised among malaysian adult samples (Kesahan dan Sifat-Sifat Psikometrik Skala Orientasi Keagamaan-Semakan yang diterjemahkan dalam Bahasa Malaysia dalam Kalangan Sampel Dewasa Malaysia). Akademika, 87(2), 133–144.
Karami, J., Heidarisharaf, P., & Abasi, M. (2018). Relationship of religious orientation and sense of humor with marital satisfaction with the mediation of quality of life among women with breast cancer. Health, Spirituality and Medical Ethics, 5(4), 2–8.
Kazeminezhad, B., Tarjoman, A., & Borji, M. (2020). Relationship between praying and self-care in elderly with heart failure: A cross-sectional study in west of Iran. Journal of Religion and Health, 59(1), 19–28. https://doi.org/10.1007/s10943-018-00757-8
Khodadady, E., & Bagheri, N. (2012). Construct validation of a modified religious orientation scale within an islamic context. International Journal of Business and Social Science, 3(11), 37–50.
Kirkpatrick, L. A. (1989). A psychometric analysis of the Allport-Ross and Feagin measures of intrinsic-extrinsic religious orientation. Research in the Social Scientific Study of Religion, 1, 1–30.
Kirkpatrick, L. A., & Hood, R. W., Jr. (1990). Intrinsic-extrinsic religious orientation: the boon or bane of contemporary psychology of religion? Journal for the Scientific Study of Religion, 29(4), 442–462. https://doi.org/10.2307/1387311
Lawshe, C. H. (1975). A Quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. https://doi.org/10.1111/j.1744-6570.1975.tb01393.x
Lieberman, E. J., Kramer, R., & Richter, G. C. (2012). The Letters of Sigmund Freud and Otto Rank: Inside Psychoanalysis. Johns Hopkins University Press.
McCoubrie, R. C., & Davies, A. N. (2006). Is there a correlation between spirituality and anxiety and depression in patients with advanced cancer? Supportive Care in Cancer, 14(4), 379–385. https://doi.org/10.1007/s00520-005-0892-6
Pahlevan Sharif, S., & Sharif Nia, H. (2021). Factor analysis and structural equation modeling. Jame-e-Negar.
Paredes, A. C., & Pereira, M. G. (2018). Spirituality, distress and posttraumatic growth in breast cancer patients. Journal of Religion and Health, 57(5), 1606–1617. https://doi.org/10.1007/s10943-017-0452-7
Park, C. L., & Cho, D. (2017). Spiritual well-being and spiritual distress predict adjustment in adolescent and young adult cancer survivors. Psycho-Oncology, 26(9), 1293–1300. https://doi.org/10.1002/pon.4145
Peterman, A. H., Fitchett, G., Brady, M. J., Hernandez, L., & Cella, D. (2002). Measuring spiritual well-being in people with cancer: The functional assessment of chronic illness therapy—Spiritual well-being scale (FACIT-Sp). Annals of Behavioral Medicine, 24(1), 49–58. https://doi.org/10.1207/S15324796ABM2401_06
Polit, D. F., & Yang, F. M. (2016). Measurement and the measurement of change: A primer for the health professions. Wolters Kluwer. https://books.google.com/books?id=W2G8oAEACAAJ
Prado, E. d., Sales, C. A., Girardon-Perlini, N. M. O., Matsuda, L. M., Benedetti, G. M. d. S., & Marcon, S. S. (2020). Experience of people with advanced cancer faced with the impossibility of cure: A phenomenological analysis. Escola Anna Nery. https://doi.org/10.1590/2177-9465-EAN-2019-0113
Rabitti, E., Cavuto, S., Iani, L., Ottonelli, S., De Vincenzo, F., & Costantini, M. (2020). The assessment of spiritual well-being in cancer patients with advanced disease: Which are its meaningful dimensions? BMC Palliative Care, 19(1), 1–8. https://doi.org/10.1186/s12904-020-0534-2
Rahmatpour, P., Peyrovi, H., & Sharif Nia, H. (2020). Development and psychometric evaluation of postgraduate nursing student academic satisfaction scale. Nursing Open. https://doi.org/10.1002/nop2.727
Rana, M., Bullinger, M., & Rana, M. (2015). Coping with stroke: A prospective comparative cross-cultural research. Journal of Religion and Health, 54(1), 173–186. https://doi.org/10.1007/s10943-013-9797-8
Salehi Zahabi, S., & Mahmoudi, S. (2017). The relationship between religious orientation and death anxiety in patients with breast cancer. Health, Spirituality and Medical Ethics, 4(1), 22–27.
Sánchez-Teruel, D., & Robles-Bello, M. A. (2020). Predictive variables of resilience in young Moroccan immigrant. Current Psychology. https://doi.org/10.1007/s12144-020-01126-z
Seidmahmoodi, J., Rahimi, C., & Mohamadi, N. (2011). Resiliency and religious orientation: Factors contributing to posttraumatic growth in Iranian subjects. Iranian Journal of Psychiatry, 6(4), 145–150. https://pubmed.ncbi.nlm.nih.gov/22952540
She, L., Sharif, S. P., & Nia, H. S. (2021). Psychometric evaluation of the chinese version of the modified online compulsive buying scale among chinese young consumers. Journal of Asia-Pacific Business, 22(2), 121–133. https://doi.org/10.1080/10599231.2021.1905493
Sherman, A. C., Merluzzi, T. V., Pustejovsky, J. E., Park, C. L., George, L., Fitchett, G., Jim, H. S., Munoz, A. R., Danhauer, S. C., & Snyder, M. A. (2015). A meta-analytic review of religious or spiritual involvement and social health among cancer patients. Cancer, 121(21), 3779–3788. https://doi.org/10.1002/cncr.29352
Sisask, M., Värnik, A., & K lves, K., Bertolote, J. M., Bolhari, J., Botega, N. J., Fleischmann, A., Vijayakumar, L., & Wasserman, D. . (2010). Is religiosity a protective factor against attempted suicide: A cross-cultural case-control study. Archives of Suicide Research, 14(1), 44–55. https://doi.org/10.1080/13811110903479052
Steffen, P. R., Clayton, S., & Swinyard, W. (2015). Religious orientation and life aspirations. Journal of Religion and Health, 54(2), 470–479. https://doi.org/10.1007/s10943-014-9825-3
Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Pearson.
Tanyi, Z., Mirnics, Z., Ferenczi, A., Smohai, M., Mészáros, V., Kovács, D., Jakubovits, E., & Kövi, Z. (2020). Cancer as a source of posttraumatic growth: A brief review. Psychiatria Danubina, 32(Suppl 4), S401–S411.
Wang, C.-W., Chow, A. Y., & Chan, C. L. (2017). The effects of life review interventions on spiritual well-being, psychological distress, and quality of life in patients with terminal or advanced cancer: A systematic review and meta-analysis of randomized controlled trials. Palliative Medicine, 31(10), 883–894. https://doi.org/10.1177/0269216317705101
Acknowledgements
The authors would like to thank the Mazandaran University of Medical Sciences.
Funding
No funding was received for conducting this study.
Author information
Authors and Affiliations
Contributions
The authors confirm contribution to the paper as follows: Hamid Sharif Nia and Fatemeh Khoshnavay Fomani contributed to study conception and design, Daniyal Kohestani was involved in data collection, Long She and Hamid Sharif Nia contributed to analysis and interpretation of results, Fatemeh Khoshnavay Fomani, Long She, Harpaljit Kaur, David Sánchez-Teruel, Daniyal Kohestani, and Erika Sivarajan Froelicher were involved in draft manuscript preparation, and Erika Sivarajan Froelicher contributed to edition. All authors reviewed the results and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Conflict of Interest
There are no conflicts of interest by any of the authors of this study. All authors have participated in (a) conception and design or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and its later amendments. Informed consent was obtained from all patients for being included in the study.
Ethical Approval
The current study was approved by the Ethics Committee of Mazandaran province, north of Iran, (Code: IR.MAZUMS.REC.1400.10523). We also followed ethical principles in this study, including: informing the participants about the goals and process of the study, reporting the results while maintaining the patient’s independence, informing the participation about the voluntary of participating in the study, and getting informed consent to participate in the study from all participants.
Consent to Participate
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Sharif Nia, H., She, L., Fomani, F.K. et al. Psychometric Evaluation of the Persian Version of Religious Orientation Scale in Iranian Patients with Cancer. J Relig Health 60, 3658–3674 (2021). https://doi.org/10.1007/s10943-021-01384-6
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10943-021-01384-6