Death Literacy Index Short Form: Cultural Adaptation and Psychometric Evaluation of the Turkish Version

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  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

The aim of this study was to adapt the short form of Death Literacy Index (DLI-9) into Turkish and to examine its psychometric properties. This study has a methodological cross-sectional design. The study was conducted with a sample of 400 adults across Türkiye during October-November. Content Validity Index, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Convergent and Discriminant Validity Analyses, test-retest reliability, Cronbach’s α-coefficient, item-total-score correlation, 27% upper-lower-group item analysis and Hotelling-T2test were used in data analysis. In the EFA analysis, the scale consisted of 2 factors. The original two-factor structure of the scale was confirmed by CFA. CFA model fit values were found as CMIN/DF = 2.078, RMSEA = 0.074, RMR = 0.077, SRMR = 0.0455, CFI = 0.960, NFI = 0.927, TLI = 0.945, GFI = 0.946, and AGFI = 0.906. The total Cronbach’s α reliability coefficient of the DLI-9 was found to be 0.84. This study indicates that scale is a reliable tool for evaluating death literacy in the Turkish population.

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https://rdlopen.rawdatalibrary.net/r/bayburt/12836Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.1177/00302228251366736Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorSemerci Çakmak, Vahide
dc.contributor.authorSönmez Sarı, Ebru
dc.contributor.authorSeven, Ahmet
dc.date.accessioned2026-10-29T19:10:06.705450943Z
dc.date.available2026-10-29T19:10:06.705450943Z
dc.date.issued2025
dc.description.abstractThe aim of this study was to adapt the short form of Death Literacy Index (DLI-9) into Turkish and to examine its psychometric properties. This study has a methodological cross-sectional design. The study was conducted with a sample of 400 adults across Türkiye during October-November. Content Validity Index, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Convergent and Discriminant Validity Analyses, test-retest reliability, Cronbach’s α-coefficient, item-total-score correlation, 27% upper-lower-group item analysis and Hotelling-T2test were used in data analysis. In the EFA analysis, the scale consisted of 2 factors. The original two-factor structure of the scale was confirmed by CFA. CFA model fit values were found as CMIN/DF = 2.078, RMSEA = 0.074, RMR = 0.077, SRMR = 0.0455, CFI = 0.960, NFI = 0.927, TLI = 0.945, GFI = 0.946, and AGFI = 0.906. The total Cronbach’s α reliability coefficient of the DLI-9 was found to be 0.84. This study indicates that scale is a reliable tool for evaluating death literacy in the Turkish population.
dc.identifier.doi10.1177/00302228251366736
dc.identifier.eissn1541-3764
dc.identifier.issn0030-2228
dc.identifier.pmid40767071
dc.identifier.scopus2-s2.0-105024416299
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/12836
dc.identifier.wosWOS:001544640200001
dc.language.isoen
dc.publisherSAGE Publications Inc.
dc.relation.ispartofOmega (United States)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectdeath
dc.subjectdeath literacy
dc.subjectpsychometrics
dc.subjectreliability
dc.subjectvalidity
dc.subject.classificationPsychology, Multidisciplinary
dc.subject.classificationSocial Sciences, Biomedical
dc.subject.classificationPsychology
dc.subject.classificationBiomedical Social Sciences
dc.titleDeath Literacy Index Short Form: Cultural Adaptation and Psychometric Evaluation of the Turkish Version
dc.typeArticle
rdl.citation.openalex1
rdl.citation.scopus0
rdl.citation.wos0
rdl.departmentDepartment of Internal Medicine Nursing, Faculty of Health Sciences, Tokat Gaziosmanpasa University, Tokat, Turkiye
rdl.departmentDepartment of Nursing, Faculty of Health Sciences, Bayburt University, Bayburt, Turkiye
rdl.departmentDepartment of Nursing, Afşin School of Health, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkiye
rdl.oa.statusclosed
rdl.publication.statusinPress
rdl.scopus.quartileQ2
rdl.sdgSDG03
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexSocial Science Citation Index (SSCI)