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基于瑟斯顿项目反应理论 (TIRT) 开发的迫选式人格量表。

Development of a Forced-Choice Personality Inventory via Thurstonian Item Response Theory (TIRT).

作者信息

Tsaousis Ioannis, Al-Owidha Amjed

机构信息

Department of Psychology, National and Kapodistrian University of Athens, 15784 Athens, Greece.

Education & Training Evaluation Commission, Riyadh 12395, Saudi Arabia.

出版信息

Behav Sci (Basel). 2024 Nov 21;14(12):1118. doi: 10.3390/bs14121118.

Abstract

This study had two purposes: (1) to develop a forced-choice personality inventory to assess student personality characteristics based on the five-factor (FFM) personality model and (2) to examine its factor structure via the Thurstonian Item Response Theory (TIRT) approach based on Thurstone's law of comparative judgment. A total of 200 items were generated to represent the five dimensions, and through Principal Axis Factoring and the composite reliability index, a final pool of 75 items was selected. These items were then organized into 25 blocks, each containing three statements (triplets) designed to balance social desirability across the blocks. The study involved two samples: the first sample of 1484 students was used to refine the item pool, and the second sample of 823 university students was used to examine the factorial structure of the forced-choice inventory. After re-coding the responses into a binary format, the data were analyzed within a standard structural equation modeling (SEM) framework. Then, the TIRT model was applied to evaluate the factorial structure of the forced-choice inventory, with the results indicating an adequate fit. Further suggestions for future research with additional studies are provided to justify the scale's reliability (e.g., test-retest) and validity (e.g., concurrent, convergent, and divergent).

摘要

本研究有两个目的

(1)开发一种强制选择性格量表,以基于五因素(FFM)人格模型评估学生的性格特征;(2)通过基于瑟斯顿比较判断定律的瑟斯顿项目反应理论(TIRT)方法检验其因素结构。总共生成了200个项目来代表五个维度,并通过主成分因子分析和综合信度指数,最终选取了75个项目。然后将这些项目组织成25个模块,每个模块包含三个陈述(三元组),旨在平衡各模块间的社会期望性。该研究涉及两个样本:第一个样本为1484名学生,用于完善项目库;第二个样本为823名大学生,用于检验强制选择量表的因子结构。将回答重新编码为二元格式后,在标准结构方程模型(SEM)框架内对数据进行分析。然后,应用TIRT模型评估强制选择量表的因子结构,结果表明拟合良好。还提供了对未来进一步研究的建议,以证明该量表的信度(如重测信度)和效度(如同时效度、聚合效度和区分效度)。

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