From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-12-02 DOI:10.1016/j.jrp.2023.104445
Lisa Bardach , Julian Lohmann , Kai T. Horstmann , Steffen Zitzmann , Martin Hecht
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Abstract

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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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
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。
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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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