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Contextualizing intelligence in assessment: The next step

机译:评估中的情境智能化:下一步

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摘要

Intelligence theory and assessment in HR and I/O contexts are unlikely to make major advancements when intelligence continues to be treated as a decontextualized set of skills. Models of cognitive style, situated cognition, and practical intelligence present a more contextualized view of intelligence, but are either too broad or too embedded in context to guide HR and I/O assessment. We propose a new model that draws a closer link between cognition and context; the model builds on recent developments in cross-cultural personality research, where decontextualized and contextualized models are combined. We propose an assessment procedure in which social and cognitive characteristics of job situations are simulated, a method we label Controlled Situated Assessment. In order to be successful at the task, individuals need many different resources, cognitive skills, communication skills, and personality. By increasing the ecological validity of the tasks, we expect a higher predictive validity, as compared to decontextualized assessments of intelligence.
机译:当将智力继续视为脱上下文的技能集时,HR和I / O上下文中的智力理论和评估不太可能取得重大进展。认知风格,情境认知和实践智能的模型提供了一种更加情境化的智力观,但它们要么太宽泛,要么太嵌入环境中,无法指导HR和I / O评估。我们提出了一个新的模型,该模型在认知和上下文之间建立了更紧密的联系。该模型建立在跨文化人格研究的最新发展基础上,将去上下文化和上下文化模型结合在一起。我们提出了一种评估程序,在该程序中模拟了工作状况的社会和认知特征,该方法被称为“受控情境评估”。为了成功完成任务,个人需要许多不同的资源,认知技能,沟通技能和个性。通过提高任务的生态有效性,与去上下文化的智力评估相比,我们期望具有更高的预测有效性。

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