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Psychometric testing of the indonesian version of beck depression inventory-ii among Indonesian floods survivors

Jurnal Ners · Vol. 18 No. 3 (2023) · hlm. 264–273

DOI
10.20473/jn.v18i3.47313
ISSN
2502-5791, 1858-3598
Terbit
2023-09-30
Penerbit
Universitas Airlangga
Bahasa
eng
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Introduction: Indonesia is a multi-linguistic country using the official language of Bahasa Indonesia. It is important to use formal language to collect research data without misinterpretation of study outcome and intervention effect with high accuracy. Therefore, this study aimed to analyze whether the Beck Depression Inventory-II (BDI-II) instrument translated into the Indonesian version was reliable and valid for measuring depression in floods-affected communities. Methods: The forward-backward translation was used to translate the BDI-II from English to Indonesian version. We tested the reliability and validity including content and construct validity through exploratory factor analysis (EFA) with varimax rotation and confirmatory factor analysis (CFA). We recruited 107 annual flood survivors in West Java, Indonesia as participants to test the psychometric testing. Results: The structures shown by the EFA are two factors, with Factor 1 representing negative cognitive-attitude domains and somatic symptom items consisting of Factor 2. The CFA concludes that the general factor model best fits the data on the basis Goodness-of-Fit Index (GFI)= 0.8; Root Mean Square Error of Approximation (RMSEA)= 0.09; Standard Root-Mean-Square Residual (SRMSR)); Comparative Fit Index (CFI)= 0.81; Tucker–Lewis Index (TLI)= 0.79; and p-value χ2 = < 0.01, χ2/df: 1.82). Conclusions: The results showed that the BDI-II Indonesian version has good reliability and validity and can be used to measure depression status among people who suffer floods in community setting. Future studies need to be validated within multiple socio-cultural groups.

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  • Padjadjaran University
  • University of Brawijaya
  • National Cheng Kung University
  • Universitas Muhammadiyah Malang
  • Universitas Jember
  • National Hospital of Sri Lanka
  • Sultan Agung Islamic University
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Rekan penulisOrganisasiArtikel bersama
Mira Wahyu KusumawatiUniversity of Brawijaya5
Niken Asih Laras AtiUniversitas Jember5
Fitria Endah JanitraSultan Agung Islamic University3
Aan NuraeniPadjadjaran University2
Ristina MirwantiPadjadjaran University2
Shelly IskandarPadjadjaran University2
Satrio Agung WicaksonoUniversity of Brawijaya2
Retno LestariUniversity of Brawijaya2
Anggi Lukman WicaksanaUniversitas Gadjah Mada2
Tantut SusantoUniversitas Jember2
Budi Anna KeliatUniversity of Indonesia2
Hanik Endang NihayatiUniversitas Airlangga2
Muhammad Sholihuddin ZuhdiUniversitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung1
Hadi Suprapto ArifinAfiliasi tidak diketahui1
Efri WidiantiPadjadjaran University1
N NursiswatiPadjadjaran University1
Yuli WahyuniPadjadjaran University1
Hendy LesmanaInstitut Teknologi dan Kesehatan Ika Bina1
Tri Wahyu MurniDr. Hasan Sadikin General Hospital1
Etika EmaliyawatiPadjadjaran University1
Ayu PrawestiPadjadjaran University1
S SuryaniPadjadjaran University1
Laeli FarkhahAfiliasi tidak diketahui1
Hardiyati HardiyatiPadjadjaran University1
Suryani SuryaniPadjadjaran University1
Putri ArianiPadjadjaran University1
Bambang EryantoPadjadjaran University1
Aan Nur'aeniAfiliasi tidak diketahui1
Ikeu NurhidayahPadjadjaran University1
Suryani SuryaniPadjadjaran University1
Rozali Arsyad KurniawanAfiliasi tidak diketahui1
Lilibeth Al-KofahySam Houston State University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://e-journal.unair.ac.id/index.php/JNERS/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Psychometric testing of the indonesian version of beck depression inventory-ii among Indonesian floods survivors</dc:title>
	<dc:creator>Ariani, Tutu April</dc:creator>
	<dc:creator>Anna, Anastasia</dc:creator>
	<dc:creator>Rahayu, Henik Tri </dc:creator>
	<dc:creator>Aini, Nur</dc:creator>
	<dc:creator>Windarwati, Heni Dwi </dc:creator>
	<dc:creator>Hernawaty, Taty </dc:creator>
	<dc:creator>Mudiyanselage, Sriyani Padmalatha Konara </dc:creator>
	<dc:creator>Lin, Mei-Feng </dc:creator>
	<dc:description xml:lang="en-US">Introduction: Indonesia is a multi-linguistic country using the official language of Bahasa Indonesia. It is important to use formal language to collect research data without misinterpretation of study outcome and intervention effect with high accuracy. Therefore, this study aimed to analyze whether the Beck Depression Inventory-II (BDI-II) instrument translated into the Indonesian version was reliable and valid for measuring depression in floods-affected communities.
Methods: The forward-backward translation was used to translate the BDI-II from English to Indonesian version. We tested the reliability and validity including content and construct validity through exploratory factor analysis (EFA) with varimax rotation and confirmatory factor analysis (CFA). We recruited 107 annual flood survivors in West Java, Indonesia as participants to test the psychometric testing.
Results: The structures shown by the EFA are two factors, with Factor 1 representing negative cognitive-attitude domains and somatic symptom items consisting of Factor 2. The CFA concludes that the general factor model best fits the data on the basis Goodness-of-Fit Index (GFI)= 0.8; Root Mean Square Error of Approximation (RMSEA)= 0.09; Standard Root-Mean-Square Residual (SRMSR)); Comparative Fit Index (CFI)= 0.81; Tucker–Lewis Index (TLI)= 0.79; and p-value χ2 = &amp;lt; 0.01, χ2/df: 1.82).
Conclusions: The results showed that the BDI-II Indonesian version has good reliability and validity and can be used to measure depression status among people who suffer floods in community setting. Future studies need to be validated within multiple socio-cultural groups.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2023-09-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JNERS/article/view/47313</dc:identifier>
	<dc:identifier>10.20473/jn.v18i3.47313</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ners; Vol. 18 No. 3 (2023): SEPTEMBER 2023; 264-273</dc:source>
	<dc:source>2502-5791</dc:source>
	<dc:source>1858-3598</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/47313/26324</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Jurnal Ners</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>