Restricted accessResearch articleFirst published online 2022-9
Assessment of the Psychometric Properties of the Persian Version of the Cardiac Self-Blame Attribution (CSBA-P) Scale in Patients With Cardiovascular Disease
According to the studies done in Iran, there has been no study investigating self-blame attributions in patients with cardiovascular disease. Moreover, there has been no standard scale for assessing self-blame attributions available in Persian. Hence, this study was conducted to determine the psychometric properties of the Persian version of Cardiac Self-Blame Attribution (CSBA-P) Scale in patients with cardiovascular disease. In this 2019 methodological study, 400 patients with cardiovascular disease completed the Persian version of the Cardiac Self-Blame Attribution scale. We evaluated the face, content, and construct validity (both exploratory and confirmatory) of the measure. The results of the confirmatory and exploratory factor analysis extracted a separate factor explained 56.249% of the variance. One factor fit model was confirmed according to standard measures such as RMSEA = 0.074, CMIN/DF = 2.454. The reliability of the scale was calculated and confirmed with a Cronbach coefficient of 0.938, construct reliability of 0.938, and ICC of 0.895. The Persian version of the Cardiac Self-Blame Attribution scale (CSBA-P) yielded acceptable validity and reliability. Thus, this scale can be used in future research to assess self-blame attributions among cardiac populations who speak Persian.
BarrettT. W.ScottT. B. (1990). Suicide bereavement and recovery patterns compared with nonsuicide bereavement patterns. Suicide andLife‐Threatening Behavior, 20(1), 1–15.
2.
BennettK. K.CompasB. E.BeckjordE.GlinderJ. G. (2005). Self-blame and distress among women with newly diagnosed breast cancer. Journal of Behavioral Medicine, 28(4), 313–323.
3.
BennettK. K.MarteR. M. (2013). Patient attributions for cardiac events: Predictors of physical and psychological recovery. Journal of Applied Social Psychology, 43(3), 660–672.
4.
BesharatM. A.EislerI.DareC. (2001). The self- and Other-Blame scale (SOBS). The background and presentation of a new instrument for measuring blame in families. Journal of Family Therapy, 23(2), 208–223. https://doi.org/10.1111/1467-6427.00179
5.
BlairJ.AngusN. J.LauderW. J.AthertonI.EvansJ.LeslieS. J. (2014). The influence of non-modifiable illness perceptions on attendance at cardiac rehabilitation. European Journal of Cardiovascular Nursing: Journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology, 13(1), 55–62.
6.
BuelowJ. M.HinkleJ. L. (2008). Why are reliability and validity important to neuroscience nurses?The Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses, 40(6), 369–370.
7.
CohenJ. (1968). Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. Psychological Bulletin, 70(4), 213–220.
8.
ÇoklukÖ.KoçakD. (2016). Using horn’s parallel analysis method in exploratory factor analysis for determining the number of factors. Educational Sciences: Theory and Practice, 16(2), 537–551.
9.
ColtonD.CovertR. W. (2007). Designing and constructing instruments for social research and evaluation. John Wiley & Sons.
10.
CookD. A.BeckmanT. J. (2006). Current concepts in validity and reliability for psychometric instruments: Theory and application. The American Journal of Medicine, 119(2), 166.e7–166.e116.
11.
DemiA. S.SchroederM. A. (1987). Bereavement experience questionnaire [Unpublished manuscript]. Georgia State University, Atlanta.
12.
DornelasE. A.SearsS. F. (2018). Living with heart despite recurrent challenges: Psychological care for adults with advanced cardiac disease. The American Psychologist, 73(8), 1007–1018.
13.
FahimfarN.KhaliliD.SepanlouS. G.MalekzadehR.AziziF.MansourniaM. A.RoohafzaH.EmamianM. H.HadaeghF.PoustchiH.MansourianM.HashemiH.SharafkhahM.PourshamsA.FarzadfarF.SteyerbergE. W.FotouhiA. (2018). Cardiovascular mortality in a Western Asian country: Results from the Iran cohort consortium. BMJ Open, 8(7), e020303.
14.
FokD. (2011). Development and testing of a Low Vision Product Selection Instrument (LV-PSI): A mixed-methods approach. [Electronic Thesis and Dissertation Repository]. https://ir.lib.uwo.ca/etd/127
15.
FornellC.LarckerD. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
16.
GlinderJ. G.CompasB. E. (1999). Self-blame attributions in women with newly diagnosed breast cancer: A prospective study of psychological adjustment. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 18(5), 475–481.
17.
GuarnacciaC. A.HayslipB. (1998). Factor structure of the bereavement experience questionnaire: The beq-24, a revised Short-Form. OMEGA—Journal of Death and Dying, 37(4), 303–316. https://doi.org/10.2190/l6hw-vgkf-knpt-vt3f
18.
HairJ. F.BlackW. C.BabinB. J.AndersonR. E.TathamR. L. (1995). Multivariate data analysis (4th ed.). Prentice Hall.
19.
HajizadehE.AsghariM. (2011). Statistical methods and analyses in health and biosciences a research methodological approach (p. 395). Jahade Daneshgahi Publications.
20.
HarderD. W.LewisS. J. (1987). The assessment of shame and guilt. Advances in Personality Assessment, 6, 89–114.
21.
HarringtonD. (2008). Confirmatory factor analysis. Oxford University Press.
22.
HarryK. M.BennettK. K., Clark, JillianM. R.HowarterA. D.EwaysK. R. (2015). Self-blame attributions and cardiac symptom experiences in cardiac rehabilitation patients: A preliminary study. North American Journal of Psychology, 17(3), 541.
23.
HarryK. M.BennettK. K.MarszalekJ. M.EwaysK. R.ClarkJ. M.SmithA. J.WatersM.BerglandD.UmhoeferA.WilsonE. J. (2018). Scale development and psychometric properties of the cardiac Self-Blame attributions scale in patients with cardiovascular disease. Health Psychology Open, 5(2), 2055102918786865–2055102918786866.
24.
Janoff-BulmanR. (1979). Characterological versus behavioral self-blame: Inquiries into depression and rape. Journal of Personality and Social Psychology, 37(10), 1798–1809.
25.
JavaliS. B.GudaganavarN. V.JS. M. (2011). Effect of varying sample size in estimation of reliability coefficients of internal consistency. WebmedCentral Biostatistics, 2(2), WMC001572.
26.
Jay LynnS.Surya DasL.HallquistM. N.WilliamsJ. C. (2006). Mindfulness, acceptance, and hypnosis: Cognitive and clinical perspectives. The International Journal of Clinical and Experimental Hypnosis, 54(2), 143–166.
27.
LandisJ. R.KochG. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.
28.
LarsenR.WarneR. T. (2010). Estimating confidence intervals for eigenvalues in exploratory factor analysis. Behavior Research Methods, 42(3), 871–876.
29.
LawsheC. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.
MartinR.JohnsenE. L.BundeJ.BellmanS. B.RothrockN. E.WeinribA.LemosK. (2005). Gender differences in patients’ attributions for myocardial infarction: Implications for adaptive health behaviors. International Journal of Behavioral Medicine, 12(1), 39–45.
32.
MayersA. (2013). Introduction to statistics and SPSS in psychology. Pearson Higher Ed.
33.
Ministry of Health and Medical Education. (2018). The priorities of the research of medical sciences of Iran based on the requirements of medical universities of Iran. http://ftp.hbi.ir/research/research/olaviat/olaviat.pdf
34.
MunroB. H. (2005). Statistical methods for health care research (Vol. 1). Lippincott williams & wilkins.
PlaufcanM. R.WamboldtF. S.HolmK. E. (2012). Behavioral and characterological self-blame in chronic obstructive pulmonary disease. Journal of Psychosomatic Research, 72(1), 78–83.
37.
PolitD. F.BeckC. T. (2010). Essentials of nursing research: Appraising evidence for nursing practice. Lippincott Williams & Wilkins.
38.
PolitD. F.YangF. (2015). Measurement and the measurement of change: A primer for the health professions. Wolters Kluwer Health.
39.
RabaniS.SardariniaM.AkbarpourS.AziziF.KhaliliD.HadaeghF. (2018). 12-year trends in cardiovascular risk factors (2002-2005 through 2011-2014) in patients with cardiovascular diseases: Tehran lipid and glucose study. PLoS One, 13(5), e0195543.
40.
RothG. A.JohnsonC.AbajobirA.Abd-AllahF.AberaS. F.AbyuG.AhmedM.AksutB.AlamT.AlamK.AllaF.Alvis-GuzmanN.AmrockS.AnsariH.ÄrnlövJ.AsayeshH.AteyT. M.Avila-BurgosL.AwasthiA., . . . MurrayC. (2017). Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. Journal of the American College of Cardiology, 70(1), 1–25.
41.
Sharif NiaH.Pahlevan SharifS.LehtoR. H.BoyleC.YaghoobzadehA.KavehO.GoudarzianA. H. (2017). Development and psychometric evaluation of a Persian version of the death depression Scale-Revised: A cross-cultural adaptation for patients with advanced cancer. Japanese Journal of Clinical Oncology, 47(8), 713–719.
42.
SmartL. M.PetersJ. R.BaerR. A. (2016). Development and validation of a measure of self-critical rumination. Assessment, 23(3), 321–332.
43.
SterneJ. A. C.WhiteI. R.CarlinJ. B.SprattM.RoystonP.KenwardM. G.WoodA. M.CarpenterJ. R. (2009). Multiple imputation for missing data in epidemiological and clinical research: Potential and pitfalls. BMJ (Clinical Research ed.), 338, b2393.
44.
SullivanG. M. (2011). A primer on the validity of assessment instruments. Journal of Graduate Medical Education, 3(2), 119–120. https://doi.org/10.4300/JGME-D-11-00075.1
45.
TangneyJ. P. (1990). Assessing individual differences in proneness to shame and guilt: Development of the self-conscious affect and attribution inventory. Journal of Personality and Social Psychology, 59(1), 102–111.
46.
TashakkoriA.TeddlieC. (2010). Sage handbook of mixed methods in social & behavioral research. SAGE.
47.
VinziV. E.ChinWwHenselerJ.WangH. (2010). Handbook of partial least squares: Concepts, methods and applications. Springer.
48.
WolfE. J.HarringtonK. M.ClarkS. L.MillerM. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934.
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