The Bangla Big Five Inventory-2: a comprehensive psychometric validation.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Mushfiqul Anwar Siraji, Fahria Karim, Christopher J Soto, Shamsul Haque
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引用次数: 0

Abstract

The Big Five Inventory-2 (BFI-2) is a widely recognized tool for assessing personality traits across five domains and fifteen facets. However, its psychometric properties in non-Western cultures like Bangladesh remain unexplored. This study aimed to validate the Bangla BFI-2 (BFI-2-B) within a Bangladeshi community sample to provide a culturally adapted personality assessment tool. A cross-sectional survey was conducted on 1,095 participants, where 646 participants (59%; 358 female; Agemean = 24.25 years, SD = 4.47) passed all attention checks. Participants responded to a demographic questionnaire, Bangla Big Five-2 (BFI-2-B), and Bangla NEO Five-Factor Inventory (NEO FFI). The domain-level structural validity was analyzed using Exploratory Structural Equation Modeling (ESEM). A series of five different latent models were tested by Confirmatory Factor Analysis (CFA) for facet-level structural validity. Full Measurement invariance across gender, education level, and language were tested. The item quality was assessed using Item Response Theory analysis (IRT). Convergent and discriminant validity were assessed by correlating the BFI-2-B domains with the NEO-FFI. The BFI-2-B demonstrated high internal consistency across domains (> 0.70) and facets (> 0.60; except energy level, intellectual curiosity, and respectfulness). ESEM confirmed structural validity at the domain level (CFI & TLI = 0.96). CFA analysis revealed that at the facet level, a three-facet structure with an acquiescence factor yielded the most acceptable fit (CFI& TLI ≥ 0.95; RMSEA ≤ 0.06; SRMR ≤ 0.08). Full measurement invariance was established across gender and educational levels, but only weak invariance was found across languages, indicating linguistic challenges. The similar domains of BFI-2-B and NEO-FFI had strong correlations (r ≥ 0.59), and distinct domains exhibited low correlations, indicating strong convergent and discriminant validity. IRT analysis showed that most items had high to moderate discrimination. The BFI-2-B is a reliable and valid tool for assessing personality in the Bangladeshi context, with robust psychometric properties across domains and most facets. Addressing linguistic nuances and testing in more diverse samples can further enhance its cross-cultural applicability.The stage 1 protocol for this Registered Report was accepted in principle on 24/09/24. The protocol, as accepted by the journal, can be found at: 10.17605/OSF.IO/7DTQG.

Abstract Image

孟加拉语大五量表-2:综合心理测量验证。
大五人格量表-2 (BFI-2)是一个广泛认可的工具,用于评估五个领域和十五个方面的人格特征。然而,它在非西方文化(如孟加拉国)中的心理测量特性仍未被探索。本研究的目的是在孟加拉社区样本中验证孟加拉人BFI-2 (BFI-2- b),以提供一种文化适应性人格评估工具。对1095名参与者进行了横断面调查,其中646名参与者(59%;358名女性;年龄= 24.25岁,SD = 4.47)均通过注意检查。参与者回答了人口调查问卷、孟加拉大五因素2 (BFI-2-B)和孟加拉近地天体五因素清单(NEO FFI)。采用探索性结构方程模型(探索性结构方程模型)对领域级结构有效性进行分析。采用验证性因子分析(CFA)对五种不同的潜在模型进行了面水平结构效度检验。测试了跨性别、教育水平和语言的全测量不变性。采用项目反应理论分析(IRT)评价项目质量。通过将BFI-2-B结构域与NEO-FFI相关联来评估收敛效度和判别效度。BFI-2-B表现出高的跨域(> 0.70)和面(> 0.60;除了精力水平,求知欲和尊重)。ESEM在域水平上证实了结构效度(CFI和TLI = 0.96)。CFA分析显示,在关节突水平上,具有默许因子的三关节突结构获得了最可接受的配合(CFI& TLI≥0.95;Rmsea≤0.06;SRMR≤0.08)。在性别和教育水平之间建立了完全的测量不变性,但在语言之间仅发现弱不变性,这表明语言挑战。BFI-2-B与NEO-FFI相似域呈强相关(r≥0.59),不同域呈低相关,具有较强的收敛效度和判别效度。IRT分析显示,大多数项目具有高到中等的歧视。BFI-2-B是评估孟加拉人个性的可靠有效工具,具有跨领域和大多数方面的强大心理测量特性。处理语言的细微差别并在更多样化的样本中进行测试,可以进一步提高其跨文化适用性。本注册报告的第一阶段协议已于2009年9月24日原则上接受。该协议被期刊接受,可以在10.17605/OSF.IO/7DTQG找到。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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