{"title":"Ecological cognitive assessment has incremental validity for predicting academic performance over and above single occasion cognitive assessments","authors":"Arabella C. Vaughan, Damian P. Birney","doi":"10.1016/j.intell.2024.101869","DOIUrl":null,"url":null,"abstract":"<div><div>Throughout the history of psychometric testing, cognitive ability has predominantly been construed as an ability that differs between individuals but not within individuals. As a result, the influence of time and context on within-person variation in cognitive performance has not been well explored. This is despite the fact that the criterion outcomes that cognitive assessments are used to predict, such as educational and workplace performance, inherently encompass performance variability over time and context. In this paper, we provided novel evidence that ecological cognitive assessment has incremental validity for predicting academic performance over and above single occasion cognitive assessments. We proposed the use of a cognitive Ecological Momentary Assessment (EMA) approach to generate short-term repeated measures of cognitive performance and recommended a set of parameters that can be used to describe ecological within-person variation in EMA data. We then empirically tested these parameters across two studies in which participants completed a series of cognitive tasks delivered via the EMA as well as a traditional single occasion cognitive assessment that is time and context-invariant. Our findings showed that a range of ecological cognitive performance parameters had incremental utility for predicting first year university performance above and beyond the traditional cognitive assessment. Further, this appeared to occur because ecological cognitive performance parameters describe some aspect of cognitive performance not captured by the traditional time and context-invariant assessment. We suggest that what these parameters capture is information about an individual's typical ecological cognitive performance over the short-term, which is critical information for predicting educational and workplace success.</div></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0160289624000631/pdfft?md5=c819b7409536b6af3b26837db6f76ad7&pid=1-s2.0-S0160289624000631-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160289624000631","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Throughout the history of psychometric testing, cognitive ability has predominantly been construed as an ability that differs between individuals but not within individuals. As a result, the influence of time and context on within-person variation in cognitive performance has not been well explored. This is despite the fact that the criterion outcomes that cognitive assessments are used to predict, such as educational and workplace performance, inherently encompass performance variability over time and context. In this paper, we provided novel evidence that ecological cognitive assessment has incremental validity for predicting academic performance over and above single occasion cognitive assessments. We proposed the use of a cognitive Ecological Momentary Assessment (EMA) approach to generate short-term repeated measures of cognitive performance and recommended a set of parameters that can be used to describe ecological within-person variation in EMA data. We then empirically tested these parameters across two studies in which participants completed a series of cognitive tasks delivered via the EMA as well as a traditional single occasion cognitive assessment that is time and context-invariant. Our findings showed that a range of ecological cognitive performance parameters had incremental utility for predicting first year university performance above and beyond the traditional cognitive assessment. Further, this appeared to occur because ecological cognitive performance parameters describe some aspect of cognitive performance not captured by the traditional time and context-invariant assessment. We suggest that what these parameters capture is information about an individual's typical ecological cognitive performance over the short-term, which is critical information for predicting educational and workplace success.
纵观心理测验的历史,认知能力主要被视为一种在个体之间而非个体内部存在差异的能力。因此,时间和情境对认知能力内部差异的影响还没有得到很好的探讨。尽管认知评估用于预测的标准结果,如教育和工作场所的表现,本身就包含了随时间和环境而变化的表现。在本文中,我们提供了新的证据,证明生态认知评估在预测学业成绩方面比单次认知评估更有效。我们建议使用认知生态瞬间评估(EMA)方法来生成认知表现的短期重复测量结果,并推荐了一组参数,可用于描述 EMA 数据中的人内生态变化。随后,我们在两项研究中对这些参数进行了实证测试,在这两项研究中,参与者通过 EMA 以及时间和情境不变的传统单次认知评估完成了一系列认知任务。我们的研究结果表明,在预测大学一年级的学习成绩方面,一系列生态认知表现参数比传统认知评估具有更高的效用。此外,出现这种情况似乎是因为生态认知成绩参数描述了传统的时间和情境不变评估所没有捕捉到的认知成绩的某些方面。我们认为,这些参数所捕捉到的是有关个人短期内典型生态认知表现的信息,而这正是预测教育和职场成功的关键信息。