Siraji Mushfiqul Anwar, Karim Fahria, Soto Christopher J, Haque Shamsul
Department of History and Philosophy, School of Humanities and Social Sciences, North South University, Dhaka, Bangladesh.
Department of Psychology, Colby College, Waterville, USA.
Sci Rep. 2025 Mar 31;15(1):11008. doi: 10.1038/s41598-025-90264-0.
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; Age = 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.
大五人格量表第二版（BFI-2）是一种广泛认可的用于评估五个领域和十五个方面人格特质的工具。然而，其在孟加拉国等非西方文化中的心理测量特性仍未得到探索。本研究旨在在孟加拉国社区样本中验证孟加拉语版BFI-2（BFI-2-B），以提供一种经过文化调适的人格评估工具。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，标准差=4.47）通过了所有注意力检查。参与者回答了一份人口统计学问卷、孟加拉语大五人格量表第二版（BFI-2-B）和孟加拉语新版大五人格量表（NEO FFI）。使用探索性结构方程模型（ESEM）分析领域层面的结构效度。通过验证性因素分析（CFA）测试了一系列五个不同的潜在模型，以评估方面层面的结构效度。测试了性别、教育水平和语言之间的完全测量不变性。使用项目反应理论分析（IRT）评估项目质量。通过将BFI-2-B领域与NEO-FFI进行相关性分析来评估聚合效度和区分效度。BFI-2-B在各个领域（>0.70）和方面（>0.60；能量水平、求知欲和尊重除外）表现出较高的内部一致性。ESEM证实了领域层面的结构效度（CFI&TLI=0.96）。CFA分析表明，在方面层面，具有默认因素的三方面结构产生了最可接受的拟合度（CFI&TLI≥0.95；RMSEA≤≤0.06；SRMR≤≤0.08）。在性别和教育水平上建立了完全测量不变性，但在语言之间仅发现了弱不变性，表明存在语言挑战。BFI-2-B和NEO-FFI的相似领域具有很强的相关性（r≥≥0.5），不同领域的相关性较低，表明具有很强的聚合效度和区分效度。IRT分析表明，大多数项目具有高到中等的区分度。BFI-2-B是一种在孟加拉国背景下评估人格的可靠且有效的工具，在各个领域和大多数方面都具有稳健的心理测量特性。解决语言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方案于2024年9月24日原则上获得接受。该方案已被该期刊接受，可在以下网址查阅：10.17605/OSF.IO/7DTQG。
