Modeling structure factor motivators behavior questionnaire: exploratory factor analysis

Shila Hasanzadeh, M. Asghari jafarabadi, Homyoun Sadeghi-Bazargani
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引用次数: 0

Abstract

Abstract: Background: Exploratory Analysis Method is one of the most useful methods in all issues such as Traffic. The purpose of this study was to investigate the factor structure of the motorcyclist behavior questionnaire in relation to male motorcyclists in Tabriz city. Methods: For this purpose, 456 motorcyclists participated in this case-control study using a cluster sampling method to complete the questionnaire. This paper described the six stages of exploratory factor analysis (Identification of variables/ indicators expressing the subject, controlling fit of data to perform factor analysis, determine the method and the number of factors that must be extracted, select method rotation of factors, interpretation and naming factors, calculate factor scores) and the analytical decisions of each step have been proposed. Recommendations were presented for achieving the optimal results approach analysis subjects of the behavior motorcyclist. Results: The results were obtained by SPSS software output, which was used to measure the behavior of motorcyclist in the field of traffic, According to the Bartlett and KMO tests, the correlation and adequacy of the sample size, respectively, checking Scree Plot, 2 factors, Varimax rotation, and method principal axis factoring showed that distractions and the driver s mind conflicts as well as driving and high-speed travel by motorcycle compared to other motorcyclist behaviors most likely to cause an accident. Conclusions: The results of the study indicate the validity of motorist’s behavior questionnaire in the field of traffic. Intervention programs are highly recommended for those who drive a lot of mental disturbances and distractions and traveling with motorcycle. Keywords: Traffic, Exploratory Factor Analysis, MRBQ
建模结构因素激励因素行为问卷:探索性因素分析
摘要:背景:探索性分析方法是交通等问题中最有用的方法之一。本研究的目的是调查大不里士市摩托车手行为问卷中与男性摩托车手相关的因素结构。方法:为此,456名摩托车手参与了这项病例对照研究,采用整群抽样方法完成问卷调查。本文描述了探索性因素分析的六个阶段(识别表达主体的变量/指标,控制数据拟合进行因素分析,确定必须提取的因素的方法和数量,选择因素的方法轮换,解释和命名因素,计算因素得分),每个步骤的分析决策已提出。提出了实现最佳结果的建议,方法分析摩托车手行为的受试者。结果:结果采用SPSS软件输出,用于测量摩托车手在交通领域的行为。根据Bartlett和KMO检验,样本量的相关性和充分性分别检验了Scree Plot、2个因子、Varimax旋转、,方法主轴因子分析表明,与其他摩托车驾驶员行为相比,分心和驾驶员的心理冲突以及摩托车驾驶和高速行驶最容易导致事故。结论:本研究结果表明了机动车驾驶员行为问卷在交通领域的有效性。强烈建议那些驾驶大量精神障碍和分心以及骑摩托车旅行的人参加干预计划。关键词:交通,探索性因素分析,MRBQ
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来源期刊
自引率
0.00%
发文量
21
审稿时长
24 weeks
期刊介绍: The Journal of Injury and Violence Research (JIVR) is a peer-reviewed open-access medical journal covering all aspects of traumatology includes quantitative and qualitative studies in the field of clinical and basic sciences about trauma, burns, drowning, falls, occupational/road/ sport safety, youth violence, child/elder abuse, child/elder injuries, intimate partner abuse/sexual violence, self-harm, suicide, patient safety, safe communities, consumer safety, disaster management, terrorism, surveillance/burden of injury and all other intentional and unintentional injuries.
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