Rezapour Mahdi, Veenstra Cristopher, Cuccolo Kelly, Ferraro F Richard
Independent Researcher, Mashhad, Iran.
Department of Psychology, University of North Dakota, Grand Forks, ND, United States.
Front Psychol. 2021 Dec 14;12:748899. doi: 10.3389/fpsyg.2021.748899. eCollection 2021.
This study assessed the validity of instrument including various negative psychological and physical behaviors of commuters due to the public transport delay. Instruments have been mostly evaluated by parametric method of item response theory (IRT). However, the IRT has been characterized by some restrictive assumptions about the data, focusing on detailed model fit evaluation. The Mokken scale analysis (MSA), as a scaling procedure is a non-parametric method, which does not require adherence to any distribution. The results of the study show that in most regards, our instrument meets the minimum requirements highlighted by the MSA. However, the instrument did not adhere to the minimum requirements of the "scalability" for two variables including "stomach pain" and "increased heart rate". So, modifications were proposed to address the violations. Although MSA technique has been used frequently in other fields, this is one of the earliest studies to implement the technique in the context of transport psychology.
本研究评估了一种工具的有效性，该工具涵盖了通勤者因公共交通延误而产生的各种负面心理和身体行为。工具大多通过项目反应理论（IRT）的参数方法进行评估。然而，IRT的特点是对数据有一些限制性假设，侧重于详细的模型拟合评估。莫肯量表分析（MSA）作为一种量表编制程序，是一种非参数方法，它不需要遵循任何分布。研究结果表明，在大多数方面，我们的工具符合MSA强调的最低要求。然而，该工具在包括“胃痛”和“心率加快”这两个变量上未达到“可扩展性”的最低要求。因此，提出了修改建议以解决这些不符合的情况。尽管MSA技术在其他领域已被频繁使用，但这是最早在交通心理学背景下应用该技术的研究之一。
