从智力投资特征理论到动态智力投资特征与状态理论:理论拓展、方法进步与实证说明

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Lisa Bardach , Julian Lohmann , Kai T. Horstmann , Steffen Zitzmann , Martin Hecht
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引用次数: 0

摘要

本文介绍了动态智力投资特征和状态理论,这是智力投资特征理论的延伸。我们的理论扩展(a)关注认知表现状态对智力投资人格状态的动态人内效应,反之亦然(即互惠效应),(b)整合认知能力和智力投资特征的人内动态和发展轨迹,以及(c)嵌入连续时间建模框架。结合人格理论和统计模型,我们讨论了最适合测试动态智力投资特征和状态理论的模型:一个结合动态和趋势的连续时间模型。我们应用结构化残差连续时间潜曲线模型(CT-LCM-SR)对204名德国成年人进行了大约100次的认知能力(工作记忆)和智力投资人格(兴趣)评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration

This paper introduces Dynamic Intellectual Investment Trait and State Theory, an extension of Intellectual Investment Trait Theory. Our theory extension (a) centers on dynamic within-person effects of cognitive performance states on intellectual investment personality states and vice versa (i.e., reciprocal effects), (b) integrates within-person dynamics and developmental trajectories in cognitive abilities and intellectual investment traits, and (c) is embedded in a continuous-time modeling framework. Aligning personality theories with statistical models, we discuss the most appropriate model for testing Dynamic Intellectual Investment Trait and State Theory: a continuous-time model that combines dynamics and trends. We apply the Continuous-time Latent Curve Model with Structured Residuals (CT-LCM-SR) in an empirical illustration involving 204 German adults who were assessed roughly 100 times on cognitive abilities (working memory) and intellectual investment personality (interest).

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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