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使用大五人格量表进行人格评估:30项简版(NEO-FFI-30)

[Personality assessment with the NEO-Five-Factor Inventory: the 30-Item-Short-Version (NEO-FFI-30)].

作者信息

Körner Annett, Geyer Michael, Roth Marcus, Drapeau Martin, Schmutzer Gabriele, Albani Cornelia, Schumann Siegfried, Brähler Elmar

机构信息

Die Institutsangaben sind am Ende des Beitrags gelistet.

出版信息

Psychother Psychosom Med Psychol. 2008 Jun;58(6):238-45. doi: 10.1055/s-2007-986199. Epub 2007 Sep 27.

Abstract

Over these past years, German researchers have shown much interest for Costa and McCrae's five factor model as well as for their instrument: the NEO-Five-Factor Inventory . Nevertheless, results from a recent survey study using the German version of the NEO-FFI on a representative population sample (n = 1908) have reported problems to replicate the factor structure of the instrument. Insufficient psychometric indices of single items led to partly unsatisfactory scale values. A logical consequence of this was the development of a short version of the instrument with better psychometric properties. This article reports item and scale values of the NEO-FFI-30 for the German population sample. The five scales reach good internal consistency and are highly correlated with the original NEO-FFI scales. Furthermore, the influence of sociodemographic variables and correlations with the Giessentest appear to be very similar for both the original instrument and the short version. Moreover, the factor structure was replicated in an independent sample of 2508 adults. Results confirm the reliability, and factor and construct validity of this economic instrument without any significant loss in information.

摘要

在过去几年中,德国研究人员对科斯塔(Costa)和麦克雷(McCrae)的五因素模型及其工具——《NEO五因素问卷》表现出浓厚兴趣。然而,最近一项对具有代表性的人群样本(n = 1908)使用德文版《NEO人格问卷简版》(NEO-FFI)的调查研究结果表明,该工具的因素结构难以复制。单个条目的心理测量指标不足导致量表值部分不尽人意。由此产生的一个合理结果是开发了一个具有更好心理测量特性的简短版本。本文报告了德文版《NEO-FFI-30》在德国人群样本中的条目和量表值。五个量表具有良好的内部一致性,并且与原始的《NEO-FFI》量表高度相关。此外,社会人口统计学变量的影响以及与吉森测试(Giessentest)的相关性在原始工具和简短版本中似乎非常相似。此外,在一个由2508名成年人组成的独立样本中复制了因素结构。结果证实了这种精简工具的可靠性、因素效度和结构效度,且没有任何显著的信息损失。

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