课题基金 / 基金详情

The International Cognitive Ability Resource

The International Cognitive Ability Resource
国际认知能力资源
批准号:
ES/L016591/1
负责人:
John Rust
金额:
$60.44万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

项目摘要

项目成果

John Rust的其他基金

相似基金

相关文献

中文摘要
翻译
经过世纪对认知能力的积极研究,现在存在着几十种各种各样的评估工具。其中许多由于过时或维护不善而不再广泛使用。其余的大多数-那些被积极使用和保持良好的测试-一般可分为两大类:(一)由盈利的商业实体拥有和管理的专有措施,或(二)通常由孤立的研究团体为狭隘的目的开发和使用的特殊措施。这种情况对国际社会的认知能力研究人员来说是有问题的,因为它抑制了跨子领域研究结果的推广,更普遍的是,减缓了知识进步的步伐。这种情况在社会层面上的有形后果表现为临床环境中认知能力评估的有限效用(用于诊断认知障碍)和选择环境(用于人员招聘或学术招生)。这些后果将通过开发国际认知能力资源(ICAR)来解决,一个公共领域和开放源代码的工具,将结合现代项目生成和自适应测试技术。从本质上讲,ICAR是一个国际合作框架。这个框架将促进开发一个大型的和动态的银行的认知能力的措施,用于各种各样的应用程序。通过鼓励世界各地合格的研究小组使用、修订和持续发展这些测量方法,ICAR将进一步了解认知能力的结构以及认知能力结构与其预测的生活结果之间的关联性质。国际人格项目库(International Personality Item Pool,IPIP)是一个大型的公开人格项目集合,旨在解决测量标准的类似问题。该项目取得了相当大的成功;在过去十年中,通过IPIP措施收集的数据为500多篇期刊文章和书籍章节做出了贡献。建议ICAR是不完全类似的,主要是因为认知能力项目是从根本上不同于典型的,自我报告的人格项目。虽然后者是典型行为的衡量标准,但大多数智力项目旨在评估最佳表现。这种区别使得ICAR的开发更具挑战性,尽管已经证明这种开发是可行的,本文提出的开发项目将产生一种包含许多类型的“项目生成器”的资源。这些将作为心理测量信息的功能分发,易于实现,开源软件。研究小组将能够通过广泛使用的开源统计软件平台R下载软件来使用这些项目生成器。必要时,将鼓励合格的国际研究人员修订现有的项目生成器并开发其他类型。这些项目生成器将非常适合于大规模的国际数据收集,因为可能会在互联网上进行。
英文摘要
After more than a century of active research on cognitive abilities, there now exist dozens of assessment tools of tremendous variety. Many of these are no longer widely used on account of being outdated or poorly maintained. Most of the remainder - those tests which are actively used and well maintained - can generally be organized into two broad types: (i) proprietary measures owned and administered by profitable commercial entities or (ii) idiosyncratic measures which are usually developed and used by isolated research groups for narrow purposes. This circumstance is problematic for the international community of cognitive ability researchers because it inhibits the generalization of findings across sub-fields and, more generally, slows the pace at which knowledge can advance. The tangible consequences of this circumstance on the societal level are manifested through limited utility of cognitive ability assessment in clinical settings (as used for diagnoses of cognitive impairment) and selection contexts (as used for personnel recruitment or academic admissions).These consequences will be addressed by the development of the International Cognitive Ability Resource (ICAR), a public-domain and open-source tool which will incorporate modern item generation and adaptive testing techniques. At its essence, ICAR is a framework for international collaboration. This framework will facilitate the development of a large and dynamic bank of cognitive ability measures for use in a wide variety of applications. By encouraging the use, revision, and ongoing development of these measures among qualified research groups around the world, the ICAR will further understanding about the structure of cognitive abilities as well as the nature of associations between cognitive ability constructs and the life outcomes they predict.This framework is not without precedent; a similar project has been implemented for use in psychology. The International Personality Item Pool (IPIP) is a large collection of publicly available personality items which was introduced to resolve similar problems with measurement standards. This project has met with considerable success; data collected with IPIP measures have contributed to more than 500 journal articles and book chapters over the last decade. The proposed ICAR is not entirely analogous, mainly because cognitive ability items are fundamentally different from typical, self-report personality items. While the latter are measures of typical behaviour, most intelligence items are intended to assess maximal performance. This distinction makes the development of ICAR considerably more challenging, though it has already been demonstrated that such development is feasible.The development project proposed herein will result in a resource which contains many types of "item generators". These will be distributed as functions in psychometrically informed, easily implemented, open-source software. Researchgroups will be able to use these item generators by downloading the software through the widely-used, open-source statistical software platform, R. As needed, the revision of existing item generators and the development of additional types will be encouraged among qualified international researchers. These item generators will be well suited for large scale, international data collection as might be conducted over the internet.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.17863/cam.43227
发表时间: 2019
期刊:
影响因子: --
作者: [Sun L]
通讯作者: Sun L
The Development and Validation of an Online Spatial Network Measure.
在线空间网络测量的开发和验证。
DOI: 10.1177/1073191118824662
发表时间: 2020
期刊: Assessment
影响因子: 3.8
作者: [Loe BS]
通讯作者: Loe BS
The Perceptual Maze Test Revisited: Evaluating the Difficulty of Automatically Generated Mazes.
重新审视感知迷宫测试:评估自动生成迷宫的难度。
DOI: 10.1177/1073191117746501
发表时间: 2019
期刊: Assessment
影响因子: 3.8
作者: [Loe BS]
通讯作者: Loe BS
Validity and reliability of automatically generated propositional reasoning Items: a multilingual study of the challenges of verbal item generation
自动生成命题推理项目的有效性和可靠性:言语项目生成挑战的多语言研究
DOI: 10.17863/cam.74441
发表时间: 2021
期刊:
影响因子: --
作者: [Gühne D]
通讯作者: Gühne D
Researcher Development Initiative in Applied Psychometrics
  • 批准号:
    ES/F018754/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $10.24万
  • 财政年份:
    2008
  • 负责人:
    John Rust
  • 依托单位:
Collaborative Research on Models of Bargaining and Price Determination of Residential Real Estate, with and without Real Estate Agents
Optimal Harvesting of Timber: Valuing Timberland with Stochastically Evolving Timber Volume and Prices Using Linked Biological/Geographical Data from British Columbia
Characterizing Efficient Social Insurance Institutions: Theory and Computation
海外基金