Realo A, Allik J
Department of Psychology, University of Tartu.
J Pers Assess. 1998 Feb;70(1):109-24. doi: 10.1207/s15327752jpa7001_8.
The Self-Consciousness Scale (SCS), developed by Fenigstein, Scheier, and Buss (1975), was adapted to the Estonian language. In general, the results supported the 3-factor structure of the SCS. However, many items in the subscales did not load as expected. A 26-item modified scale, the Estonian SCS (ESCS), is presented. A joint factor analysis of the ESCS and the NEO Personality Inventory (NEO-PI) scales led to a 5-factor solution, where all the factors that emerged were identified as the Big Five personality dimensions, the ESCS subscales loading most significantly on 3 of these factors: Neuroticism (N), Extraversion (E), and Openness to Experience (O). Correlation analysis revealed a pattern of correlations, characterized by the strongest associations between Social Anxiety and E (r = -.77), Public Self-Consciousness (PubSC) and N (r = .40), and Private Self-Consciousness (PrivSC) and O (r = .34), which quite well corresponds to the pattern of correlations that was reported for the original versions of the SCS and the NEO-PI (Zuckerman, Kuhlman, Joireman, Teta, & Kraft, 1993). We can conclude that all the SCS subscales can be sufficiently well interpreted in terms of the Big Five model of personality dimensions--PrivSC and PubSC appear to describe some variations of the Big Five themes that are not fully elaborated by the NEO-PI rather than being completely independent domains of individual differences.
由费尼斯坦、谢尔和巴斯(1975年)编制的自我意识量表(SCS)被改编成爱沙尼亚语版本。总体而言,结果支持了SCS的三因素结构。然而,分量表中的许多项目并未如预期那样载荷。本文呈现了一个包含26个条目的修订版量表,即爱沙尼亚语自我意识量表(ESCS)。对ESCS和大五人格量表(NEO-PI)进行联合因素分析,得出了一个五因素解,其中出现的所有因素都被确定为大五人格维度,ESCS分量表在其中三个因素上的载荷最为显著:神经质(N)、外向性(E)和开放性(O)。相关分析揭示了一种相关模式,其特点是社交焦虑与E之间的关联最强(r = -0.77),公众自我意识(PubSC)与N之间的关联(r = 0.40),以及私人自我意识(PrivSC)与O之间的关联(r = 0.34),这与SCS和NEO-PI原始版本所报告的相关模式相当吻合(祖克曼、库尔赫曼、乔勒曼、泰塔和克拉夫特,1993年)。我们可以得出结论,所有SCS分量表都可以根据大五人格维度模型得到充分合理的解释——PrivSC和PubSC似乎描述了大五主题的一些变体,这些变体并非由NEO-PI充分阐述,而不是完全独立的个体差异领域。