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Inclusion of the Latent Personality Variable in Multinomial Logit Models Using the 16pf Psychometric Test

机译:使用16pf心理测验将潜在人格变量包含在多项Logit模型中

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Travel demand models typically use modal attributes and socioeconomic characteristics as explanatory variables. It has been established that attitudes and perceptions as well as individual psychological variables influence a user's behavior. In this study, the latent personality variable was included in the estimation of a hybrid discrete choice model to incorporate the effects of subjective factors. The latent personality variable was assessed with the 16PF psychometric test, which has been widely use by researchers worldwide. The paper analyzes the results of applying this model to a sample of employees and university professors and proposes a way in which the psychometric tests can be used in hybrid discrete choice models. Our results show that hybrid models that include latent psychological variables are superior to traditional models that ignore the effects of user's behavior.
机译:出行需求模型通常使用模式属性和社会经济特征作为解释变量。已经确定,态度和看法以及个体心理变量会影响使用者的行为。在这项研究中,潜在人格变量包括在混合离散选择模型的估计中,以纳入主观因素的影响。通过16PF心理测验评估潜在的人格变量,该测验已被全球研究人员广泛使用。本文分析了将该模型应用于员工和大学教授样本的结果,并提出了一种将心理测验用于混合离散选择模型的方法。我们的结果表明,包含潜在心理变量的混合模型优于忽略用户行为影响的传统模型。

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