Abstract

Many different cognitive differentiation measures have been developed since the foundation of Personal Construct Psychology in 1955. A relatively small number of studies have explored the component structure of these measures. This study aims to expand this particular area in order to help clarify how to best measure cognitive differentiation. Using a community sample of 898 adults, five distinct repertory grid measures of cognitive differentiation (percentage of variance accounted by the first factor -PVAFF, Intensity, Bieri’s index, functionally independent construction -FIC- and Ordination) were explored through Principal Components Analysis. A 2-factor solution was found. Factor 1 (PVAFF and Intensity) accounted for the multivariate measures explaining 55.1% of the variance. Factor 2 (Bieri and Ordination) accounted for the sum-based measures and explained 24.8% of the variance. FIC loaded moderately on both factors. The need for concurrent validity studies of differentiation measures is pointed out. It is also proposed that cognitive differentiation may not be unitary and may thus require more than one index to be correctly measured.

摘要

自 1955 年个人建构心理学成立以来，已经开发了许多不同的认知分化测量方法。相对较少的研究探索了这些测量方法的组成结构。本研究旨在扩展这一特定领域，以帮助阐明如何最好地衡量认知分化。使用 898 名成年人的社区样本，通过主成分分析探索了认知分化的五种不同的记忆网格测量值（由第一个因素 -PVAFF、强度、Bieri 指数、功能独立的结构 -FIC-和排序计算的方差百分比）。找到了一个 2 因素解决方案。因素 1（PVAFF 和强度）解释了解释 55.1% 方差的多变量测量。因素 2（Bieri 和 Ordination）解释了基于总和的测量并解释了 24.8% 的方差。FIC 对这两个因素的负担适中。指出了对差异化测量同时进行有效性研究的必要性。还提出认知分化可能不是单一的，因此可能需要多个指标才能正确测量。