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从不变性测量方法构建三项情绪知识测试。

Constructing three emotion knowledge tests from the invariant measurement approach.

作者信息

Delgado Ana R, Prieto Gerardo, Burin Debora I

机构信息

Faculty of Psychology, Universidad de Salamanca, Salamanca, Spain.

Faculty of Psychology, Universidad de Buenos Aires-CONICET, Buenos Aires, Argentina.

出版信息

PeerJ. 2017 Sep 13;5:e3755. doi: 10.7717/peerj.3755. eCollection 2017.

Abstract

BACKGROUND

Psychological constructionist models like the Conceptual Act Theory (CAT) postulate that complex states such as emotions are composed of basic psychological ingredients that are more clearly respected by the brain than basic emotions. The objective of this study was the construction and initial validation of Emotion Knowledge measures from the CAT frame by means of an invariant measurement approach, the Rasch Model (RM). Psychological distance theory was used to inform item generation.

METHODS

Three EK tests-emotion vocabulary (EV), close emotional situations (CES) and far emotional situations (FES)-were constructed and tested with the RM in a community sample of 100 females and 100 males (age range: 18-65), both separately and conjointly.

RESULTS

It was corroborated that data-RM fit was sufficient. Then, the effect of type of test and emotion on Rasch-modelled item difficulty was tested. Significant effects of emotion on EK item difficulty were found, but the only statistically significant difference was that between "happiness" and the remaining emotions; neither type of test, nor interaction effects on EK item difficulty were statistically significant. The testing of gender differences was carried out after corroborating that differential item functioning (DIF) would not be a plausible alternative hypothesis for the results. No statistically significant sex-related differences were found out in EV, CES, FES, or total EK. However, the sign of indicate that female participants were consistently better than male ones, a result that will be of interest for future meta-analyses.

DISCUSSION

The three EK tests are ready to be used as components of a higher-level measurement process.

摘要

背景

像概念行为理论(CAT)这样的心理建构主义模型假定,诸如情绪等复杂状态是由基本心理成分构成的,大脑对这些基本心理成分的识别比对基本情绪的识别更为清晰。本研究的目的是通过一种不变测量方法——拉施模型(RM),从CAT框架构建情绪知识测量工具并进行初步验证。心理距离理论被用于指导项目生成。

方法

构建了三项情绪知识测试——情绪词汇(EV)、贴近情绪情境(CES)和遥远情绪情境(FES),并在100名女性和100名男性(年龄范围:18 - 65岁)的社区样本中分别及联合使用RM进行测试。

结果

证实数据与RM的拟合度足够。然后,测试了测试类型和情绪对拉施模型化项目难度的影响。发现情绪对情绪知识项目难度有显著影响,但唯一具有统计学意义的差异是“幸福”与其他情绪之间的差异;测试类型以及对情绪知识项目难度的交互作用均无统计学意义。在证实差异项目功能(DIF)不是结果的合理替代假设后,进行了性别差异测试。在EV、CES、FES或总情绪知识方面未发现统计学上显著的性别相关差异。然而, 的符号表明女性参与者始终优于男性参与者,这一结果将对未来的荟萃分析具有参考价值。

讨论

这三项情绪知识测试已准备好作为更高层次测量过程的组成部分使用。

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