如何构建参照系:语境化方法比较

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ann E. Schlotzhauer, Matthew A. Ng, Shiyang Su
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引用次数: 0

摘要

人格测量在就业选拔和学术研究中很受欢迎,也很有用;然而,有人对其与理想标准的关联强度表示担忧。情境化(即修改测量结果以反映所需的参考框架,如工作或学校)已成为一种很有前途的选择。研究表明,将人格测量情境化可提高预测效度,并增强参与者对评估的感知。然而,很少有研究对情境化方法进行比较,迄今为止,只有一项研究对两种最常见的情境化形式(即指导情境化和标记情境化)进行了比较,得出的结果并不一致。在一项使用工作样本(N = 399)进行的人内多波次研究中,我们比较了通过操作指令进行情境化的人格测量和通过添加情境项目标签进行情境化的人格测量的相对有效性。我们特别将五大人格因素情境化,以预测与工作相关的结果(即工作满意度、不文明行为、工作绩效、创造性工作绩效和情感衰竭)。我们的研究支持使用标签级情境化,并为如何最好地实施情境标签提供了指导。我们还讨论了最佳实践、影响和未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Frame the Frame of Reference: A Comparison of Contextualization Methods

Personality measures are popular and useful in employment selection and academic contexts; however, concerns have been voiced regarding the strength of their association with desirable criteria. Contextualization (i.e., modifying measures to reflect the desired frame of reference, like work or school) has emerged as a promising option. Research has demonstrated that contextualizing personality measures increases predictive validity and enhances participants’ perceptions of the assessments. However, few studies have compared contextualization methods to one another and, to date, only one study has compared the two most common forms of contextualization (i.e., instruction and tag contextualization), returning inconsistent findings. In a within-person, multi-wave study using a working sample (N = 399), we compared the relative efficacy of personality measures that are contextualized through manipulating the instructions and those contextualized through the addition of contextual item tags. We specifically contextualized the big five personality factors in order to predict work-related outcomes (i.e., job satisfaction, perpetrated incivility, job performance, creative job performance, and emotional exhaustion). Our study supports the use of tag-level contextualization and provides guidance on how to best implement contextual tags. Best practices, implications, and future research directions are discussed.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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