Rating scale effectiveness.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Rating_scale_effectiveness_/26958811
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The Inventory of Personality Organization-Reality Testing Subscale (IPO-RT) and Belief in Science Scale (BIS) represent indirect, proxy measures of intuitive-experiential and analytical-rational thinking. However, a limited appraisal of factorial structure exists, and assessment of person-item functioning has not occurred. This study assessed the IPO-RT and BIS using confirmatory factor analysis (CFA) and Rasch analysis with a sample of 1030 participants (465 males, 565 females). Correlation analysis revealed a negative, moderate relationship between the measures. CFA supported a bifactorial model of the IPO-RT with four bifactors (Auditory and Visual Hallucinations, Delusional Thinking, Social Deficits, and Confusion). A one-factor model best fitted the BIS. Satisfactory item/person reliability and unidimensionality was observed for both measures using Rasch analysis, and items generally exhibited gender invariance. However, IPO-RT items were challenging, whereas BIS items were relatively easy to endorse. Overall, results indicated that the IPO-RT and BIS are conceptually sound, indirect indices of intuitive-experiential and analytical-rational thinking. Acknowledging the breadth of these thinking styles, a useful future research focus includes evaluating the performance of IPO-RT and BIS alongside objective tests.
人格组织现实检验分量表(Inventory of Personality Organization-Reality Testing Subscale,IPO-RT)与科学信念量表(Belief in Science Scale,BIS)均为直觉-体验型与分析-理性型思维的间接代理测量工具。然而,目前针对二者因素结构的研究评估较为有限,且尚未开展针对项目-被试功能的相关测评。本研究以1030名被试(其中男性465名,女性565名)为样本,采用验证性因素分析(confirmatory factor analysis,CFA)与拉希分析(Rasch analysis)对IPO-RT与BIS进行了测评。相关分析结果显示,两项量表得分间呈中等程度的负相关关系。验证性因素分析结果表明,IPO-RT符合四双因子模型,四个双因子分别为幻听与幻视、妄想思维、社交缺陷及认知混乱。单因素模型最适配BIS的结构。拉希分析结果显示,两项量表均具备良好的项目/被试信度与单维性,且大部分项目均满足性别不变性。不过,IPO-RT的项目难度较高,而BIS的项目则相对易于作答认同。综合来看,本研究结果表明,IPO-RT与BIS均为概念严谨的直觉-体验型与分析-理性型思维间接评估指标。鉴于这两类思维风格的宽泛性,未来可开展的有效研究方向包括结合客观测验对IPO-RT与BIS的测评性能进行评估。
创建时间:
2024-09-06



