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从气候尺度的错误中学习:发展与验证

Learning from mistakes climate scale: Development and validation.

作者信息

Lee Michelle Chin Chin, Wo Su Woan

机构信息

School of Psychology, Massey University, Auckland, New Zealand.

Department of Psychology, Sunway University, Bandar Sunway, Malaysia.

出版信息

Front Psychol. 2022 Aug 8;13:911311. doi: 10.3389/fpsyg.2022.911311. eCollection 2022.

DOI:10.3389/fpsyg.2022.911311
PMID:36003095
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9394742/
Abstract

Learning from mistakes plays an important role in employee development; however, such a learning scale has not yet been developed. The objective of this study was to develop and examine the psychometric properties of the Learning from Mistakes Climate Scale (LMCS) in Malaysia. A pool of items was first developed based on the literature, with an expert panel then convened to select items that met the definition of learning from mistake climate in the workplace, specifically in Malaysia. The experts agreed on 23 items to be rated. In total, 554 working adults with a mean age of 32.28 were then recruited for this study. The LMCS was administered at baseline and 10-14 days later as a retest: 468 participants took part in the retest study, a dropout rate of 15.52%. Confirmatory factor analysis showed that the LMCS is a 17-item one-factor model. Validity, in its various forms, was supported, namely convergent validity, criterion validity, and predictive validity. Analysis also showed significant reliability, that is, test-retest reliability and in all intra-class correlations. The LMCS was found to be a valid and reliable instrument to assess the learning from mistake climate in Malaysia. This is the first scale in the organizational learning climate literature to integrate the mistake tolerance aspect. This instrument can assist in creating a psychologically safe work environment that helps to facilitate learning, especially in a highly hierarchical, collectivistic culture that is high in power distance.

摘要

从错误中学习在员工发展中起着重要作用;然而,这样的学习量表尚未开发出来。本研究的目的是开发并检验马来西亚错误学习氛围量表(LMCS)的心理测量特性。首先根据文献编制了一组项目,然后召集一个专家小组来选择符合在工作场所,特别是在马来西亚从错误氛围中学习定义的项目。专家们商定了23个待评级的项目。然后总共招募了554名平均年龄为32.28岁的在职成年人参与本研究。LMCS在基线时进行施测,并在10 - 14天后进行重测:468名参与者参加了重测研究,脱落率为15.52%。验证性因素分析表明,LMCS是一个包含17个项目的单因素模型。支持了各种形式的效度,即收敛效度、效标效度和预测效度。分析还显示出显著的信度,即重测信度和所有组内相关。发现LMCS是评估马来西亚错误学习氛围的有效且可靠的工具。这是组织学习氛围文献中第一个整合错误容忍方面的量表。该工具可以帮助营造一个心理安全的工作环境,有助于促进学习,特别是在权力距离较大的高度等级制、集体主义文化中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d350/9394742/faabd103908a/fpsyg-13-911311-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d350/9394742/faabd103908a/fpsyg-13-911311-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d350/9394742/faabd103908a/fpsyg-13-911311-g001.jpg

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Front Psychol. 2022 Jan 24;12:733050. doi: 10.3389/fpsyg.2021.733050. eCollection 2021.
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Teaching and Learning in Times of COVID-19: Uses of Digital Technologies During School Lockdowns.新冠疫情期间的教与学:学校封锁期间数字技术的应用
Front Psychol. 2021 Apr 29;12:656776. doi: 10.3389/fpsyg.2021.656776. eCollection 2021.
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