Department of Psychology, Sport and Geography, School of Life and Medical Sciences, University of Hertfordshire, Hertfordshire, UK.
BMC Psychol. 2021 Jun 23;9(1):98. doi: 10.1186/s40359-021-00600-y.
This study describes the construction and validation of a new scale for measuring belief in paranormal phenomena. The work aims to address psychometric and conceptual shortcomings associated with existing measures of paranormal belief. The study also compares the use of classic test theory and modern test theory as methods for scale development.
We combined novel items and amended items taken from existing scales, to produce an initial corpus of 29 items. Two hundred and thirty-one adult participants rated their level of agreement with each item using a seven-point Likert scale.
Classical test theory methods (including exploratory factor analysis and principal components analysis) reduced the scale to 14 items and one overarching factor: Supernatural Beliefs. The factor demonstrated high internal reliability, with an excellent test-retest reliability for the total scale. Modern test theory methods (Rasch analysis using a rating scale model) reduced the scale to 13 items with a four-point response format. The Rasch scale was found to be most effective at differentiating between individuals with moderate-high levels of paranormal beliefs, and differential item functioning analysis indicated that the Rasch scale represents a valid measure of belief in paranormal phenomena.
The scale developed using modern test theory is identified as the final scale as this model allowed for in-depth analyses and refinement of the scale that was not possible using classical test theory. Results support the psychometric reliability of this new scale for assessing belief in paranormal phenomena, particularly when differentiating between individuals with higher levels of belief.
本研究描述了一种新的测量超自然现象信仰的量表的构建和验证。这项工作旨在解决与超自然信仰现有测量方法相关的心理测量和概念上的缺陷。该研究还比较了经典测试理论和现代测试理论作为量表开发方法的使用。
我们将新颖的项目和取自现有量表的修订项目结合起来,产生了一个由 29 个项目组成的初始语料库。231 名成年参与者使用七点李克特量表对每个项目的同意程度进行评分。
经典测试理论方法(包括探索性因素分析和主成分分析)将量表简化为 14 个项目和一个总体因素:超自然信仰。该因素表现出较高的内部可靠性,量表的重测信度也很高。现代测试理论方法(使用评分量表模型的拉斯克分析)将量表简化为 13 个四分值的项目。发现拉什量表最能区分具有中高水平超自然信仰的个体,差异项目功能分析表明,拉什量表代表了一种对超自然现象信仰的有效测量。
使用现代测试理论开发的量表被确定为最终的量表,因为这种模型允许对量表进行深入的分析和细化,而经典测试理论则无法做到这一点。结果支持了该新量表评估超自然现象信仰的心理测量可靠性,特别是在区分具有较高信仰水平的个体时。