Psychometric parameters of the Persian version of the Brief COPE among wives of patients under hemodialysis

Ashktorab, Tahereh; Baghcheghi, Nayereh; Seyedfatemi, Naimeh; Baghestani, Ahmadreza

doi:10.18869/mjiri.31.20

Cited by 25 publications

(16 citation statements)

References 38 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was interesting to note that a greater number of factors emerged from studies conducted outside of the United States (Ashktorab et al, 2017; Baumstarck et al, 2017; Kimemia et al, 2011; Mohanraj et al, 2015; Monzani et al, 2015; Pozzi et al, 2015; Tang et al, 2016). This finding further underscores the need to assess the sociocultural dimensions of dispositional coping in future studies.…”

Section: Discussionmentioning

confidence: 99%

“…Within the last 10 years, almost 50 studies have used EFA, principal component analysis (PCA), or confirmatory factor analysis (CFA) to establish the factor structure of the Brief COPE or to determine if a more parsimonious, hierarchical factor structure could be identified. The number of factors yielded have ranged from two in eight different studies (Bautista et al, 2013; Bean et al, 2009; Eisenberg et al, 2012; Hagan et al, 2017; Hooper et al, 2013; Liu et al, 2009; Mugavero et al, 2009; Ruiz et al, 2015) to fourteen in three studies (Ashktorab et al, 2017; García et al, 2018; Monzani et al, 2015). However, not all authors clearly identified which version of the Brief COPE (situational or dispositional) they used, which could contribute to inconsistent results.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Psychometric Properties of the Brief COPE Among Pregnant African American Women

et al. 2020

View full text Add to dashboard Cite

This paper describes the assessment of the psychometric properties of the Brief COPE in a sample of 189 pregnant African-American women. Confirmatory factor analysis (CFA) tested the original 14-factor model, and exploratory structural equation modeling (ESEM) determined whether a reduced number of factors still accounted for inter-item covariances. The CFA replicated 13 of the 14 original factors. After deleting substance use items and allowing for correlated error across the support factors, the 13-factor model achieved an acceptable fit (CMIN/ df = 1.77; RMSEA = 0.06, 95% CI = 0.05–0.07). ESEM resulted in three second-order factors: disengaged, active, and social support coping. Factor items were summed to create subscales with good internal consistency reliability (α = .74–.89). Social support coping and active coping were strongly correlated and accounted for nearly the same variance in four different psychological/affect scales, while disengaged coping was clearly distinct.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Psychometric Properties of the Brief COPE Among Pregnant African American Women

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The 14 subscales comprise self‐distraction, active coping, denial, substance use, use of emotional support, use of instrumental support, behavioural disengagement, venting, positive reframing, planning, humour, acceptance, religion and self‐blame. The Persian version of Brief COPE was used previously as a valid and reliable scale in Iranian veterans (Aflakseir, 2010) and spouses of patients under haemodialysis (Ashktorab et al., 2017).…”

Section: Methodsmentioning

confidence: 99%

Sense of coherence and coping strategies: How they influence quality of life in Iranian women with breast cancer

et al. 2021

View full text Add to dashboard Cite

Aim To investigate the mediation/moderation effect between Coping Behaviors (CBs) and Sense of Coherence (SOC) in the prediction of health‐related quality of life (HRQoL) in breast cancer patients. Design Cross‐sectional. Methods A total of 221 patients were included in this study. The 13‐item Orientation to Life Questionnaire, Brief COPE and Functional Assessment of Cancer Therapy—Breast were investigated. Pearson's correlation coefficient and mediation/moderation analysis were performed. Results Significant correlations were observed for SOC, active coping, acceptance, positive reframing (PR), planning, use of emotional support (UES), use of instrumental support, behaviour disengagement and self‐blame with HRQoL. Except for planning and acceptance, SOC partially mediated the CBs' effect on HRQoL. The UES and PR's effects on HRQoL were significant at lower SOC levels and diminished at higher SOC levels. Conclusion Practitioners can incorporate SOC and adaptive CBs, including PR and UES, into the rehabilitation programmes to improve HRQoL in patients.

show abstract

“…To measure goodness of fit of the model, relative χ2, goodness of fit index (GFI), normed fit index (IFT), comparative fitindex (CFI), incremental fit index (IFI), non-normed fit index (NNFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA) were used. Table 5 lists the acceptable values and fit levels of all the indices; clearly general goodness of fit of the model is supported (25,27,28).…”

Section: Resultsmentioning

confidence: 95%

Factors affecting mobile learning adoption in healthcare professional students based on technology acceptance model

Baghcheghi¹,

Reza²,

Karimy³

et al. 2020

Acta fac medic Naissensis

Self Cite

View full text Add to dashboard Cite

Mobile learning is one of the pivotal advances in the 21 st century education. However, other than its performance and function, its acceptance by the students is a very important factor in successful implementation of mobile learning. The present study was an attempt to determine the effective factors in acceptance of m-learning and determine the type of relationship among the factors in the undergraduate healthcare professional students based on technology acceptance model (TAM). This survey study was carried out as a descriptive-analytical work. A total of 310 students in Saveh University of Medical Sciences in Iran were selected in 2018. Data gathering tool was a researcher designed questionnaire designed based on technology acceptance model of which validity and reliability were supported beforehand. Data analyses were carried out through structural equation modeling and confirmatory path analysis in LISREL. The mean score of all variables (perceived usefulness, perceived ease of use, attitude and intention to use, and actual use) except the external factors were higher than base mean score (m ≥ 3), which indicates good acceptance of mobile learning among the students. The lowest mean score was obtained by teacher's support of using mobile for learning purposes (an external factor). There was a significant correlation among the external factors, perceived usefulness, attitude and intention to use, and actual use (p < 0.05).The results supported effectiveness of the constructs of technology acceptance method and its ability to predict acceptance of mobile learning. TAM factors were significant determinants of mobile learning acceptance.

show abstract

Psychometric parameters of the Persian version of the Brief COPE among wives of patients under hemodialysis

Cited by 25 publications

References 38 publications

Psychometric Properties of the Brief COPE Among Pregnant African American Women

Psychometric Properties of the Brief COPE Among Pregnant African American Women

Sense of coherence and coping strategies: How they influence quality of life in Iranian women with breast cancer

Factors affecting mobile learning adoption in healthcare professional students based on technology acceptance model

Contact Info

Product

Resources

About