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测量误差掩盖了情感评分中的两极分化。

Measurement error masks bipolarity in affect ratings.

作者信息

Green D P, Goldman S L, Salovey P

机构信息

Department of Political Science, Yale University, New Haven, Connecticut 06520-3532.

出版信息

J Pers Soc Psychol. 1993 Jun;64(6):1029-41. doi: 10.1037//0022-3514.64.6.1029.

DOI:10.1037//0022-3514.64.6.1029
PMID:8326466
Abstract

For years, affect researchers have debated about the true dimensionality of mood. Some have argued that positive and negative moods are largely independent and can be experienced simultaneously. Others claim that mood is bipolar, that joy and sorrow represent opposite ends of a single dimension. The 3 studies presented in this article suggest that the evidence that purportedly shows the independence of seemingly opposite mood states, that is, low correlations between positive and negative moods, may be the result of failures to consider biases due to random and nonrandom response error. When these sources of error are taken into account using multiple methods of mood assessment, a largely bipolar structure for affect emerges. The data herein speak to the importance of a multi-method approach to the measurement of mood.

摘要

多年来,情感研究者一直在争论情绪的真正维度。一些人认为,积极情绪和消极情绪在很大程度上是独立的,可以同时体验到。另一些人则声称,情绪是两极的,喜悦和悲伤代表单一维度的两端。本文呈现的三项研究表明,那些据称显示看似相反情绪状态独立性的证据,即积极情绪和消极情绪之间的低相关性,可能是由于未能考虑随机和非随机反应误差导致的偏差所致。当使用多种情绪评估方法考虑这些误差来源时,情感的基本两极结构就会显现出来。本文的数据说明了多方法途径在情绪测量中的重要性。

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