Lisa Bardach , Julian Lohmann , Kai T. Horstmann , Steffen Zitzmann , Martin Hecht
{"title":"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","authors":"Lisa Bardach , Julian Lohmann , Kai T. Horstmann , Steffen Zitzmann , Martin Hecht","doi":"10.1016/j.jrp.2023.104445","DOIUrl":null,"url":null,"abstract":"<div><p>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).</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0092656623001071/pdfft?md5=f76ae68bd412e10a921d6da6a2eb953b&pid=1-s2.0-S0092656623001071-main.pdf","citationCount":"0","resultStr":"{\"title\":\"From Intellectual Investment Trait Theory to Dynamic Intellectual Investment Trait and State Theory: Theory extension, methodological advancement, and empirical illustration\",\"authors\":\"Lisa Bardach , Julian Lohmann , Kai T. Horstmann , Steffen Zitzmann , Martin Hecht\",\"doi\":\"10.1016/j.jrp.2023.104445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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).</p></div>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0092656623001071/pdfft?md5=f76ae68bd412e10a921d6da6a2eb953b&pid=1-s2.0-S0092656623001071-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0092656623001071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0092656623001071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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).