Centre for Research in Pedagogy and Practice, National Institute of Education, Singapore.
J Pers Assess. 2009 Jul;91(4):381-6. doi: 10.1080/00223890902936223.
The construct of self-complexity has been recognized as important for understanding psychological adjustment. However, research in this area has been impeded by measurement problems. In particular, the most commonly used measure, Linville's (1985, 1987) H statistic, cannot assess this construct appropriately. In this article, we present a new measure designed to tap two components of self-complexity separately: the number of self-aspects and the average distinction among them. We conducted a validation study with 131 Chinese college students. The results indicate that (a) this new measure is not confounded with conscious social desirability bias, (b) it has incremental validity beyond existing measures, and (c) the two components as assessed by this new measure are relatively independent and have different psychological functions. We discuss the implications of these findings for future studies of self-complexity and clinical practice.
自我复杂性结构已被认为对理解心理调适很重要。然而,该领域的研究受到测量问题的阻碍。特别是,最常用的测量方法,林维尔的(1985 年,1987 年)H 统计量,不能适当地评估这个结构。在本文中,我们提出了一种新的测量方法,旨在分别评估自我复杂性的两个组成部分:自我方面的数量和它们之间的平均差异。我们对 131 名中国大学生进行了一项验证研究。结果表明:(a)这个新的测量方法不受有意识的社会期望偏差的影响;(b)它具有超越现有测量方法的增量有效性;(c)由这个新的测量方法评估的两个组成部分是相对独立的,具有不同的心理功能。我们讨论了这些发现对自我复杂性的未来研究和临床实践的意义。