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Can Personality Traits Explain Where and With Whom You Recreate? A Latent-Class Site-Choice Model Informed by Estimates From Mixed-Mode LC Cluster Models With Latent -Personality Traits

机译:人格特质能否说明您在何处以及与谁一起重建?由具有潜在人格特征的混合模式LC群集模型的估计值告知的潜在类站点选择模型

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We test and find that personality traits interact with site characteristics and the ability of a potential companion to determine where, and with whom you recreate. 4605 mountain bikers chose between multiple pairs of hypothetical mountain-bike rides, and, in addition, answered Likert-scale questions on sensation seeking, competitiveness and extroversion. For each personality trait, a mixed-mode latent-class cluster model was estimated, accounting for that fact that the indicators can have ordinal, cardinal or nominal meaning. Most LC models ignore these distinctions. Our model also allows the scores on questions to be correlated, even after conditioning on class (typically assumed away). Then, a latent-class choice model of trail attributes and companion's ability was estimated using the choice-pair data, with the estimated latent personality-traits as covariates. Three choice classes are identified and the odds of being in each varies by personality: estimated choice probabilities and WTP estimates vary significantly and substantially by class and personality type. (C) 2017 Elsevier B.V. All rights reserved.
机译:我们测试并发现,人格特质与网站特征以及潜在同伴确定在何处以及与谁重新创建的能力相互影响。 4605名山地车手在多对假设的山地车游乐设施之间进行了选择,此外,还回答了利克特量表关于寻求感觉,竞争力和外向性的问题。对于每个人格特征,估计了一个混合模式潜在类聚类模型,这说明了指标可以具有序数,基数或名义意义的事实。大多数LC模型都忽略了这些区别。我们的模型还允许对问题的分数进行关联,即使在对课堂进行了条件调整后(通常假定已离开)。然后,使用选择对数据估计线索属性和陪伴者能力的潜在类别选择模型,并将估计的潜在人格特征作为协变量。确定了三个选择类别,每个选择类别的机率因人格而异:估计的选择概率和WTP估计因类别和人格类型而显着不同。 (C)2017 Elsevier B.V.保留所有权利。

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