Siegling Alex B, Petrides K V
London Psychometric Laboratory, University College London, London, United Kingdom.
PLoS One. 2016 Jul 13;11(7):e0157295. doi: 10.1371/journal.pone.0157295. eCollection 2016.
This article explicates the theory of drive and describes the development and validation of two measures. A representative set of drive facets was derived from an extensive corpus of human attributes (Study 1). Operationalised using an International Personality Item Pool version (the Drive:IPIP), a three-factor model was extracted from the facets in two samples and confirmed on a third sample (Study 2). The multi-item IPIP measure showed congruence with a short form, based on single-item ratings of the facets, and both demonstrated cross-informant reliability. Evidence also supported the measures' convergent, discriminant, concurrent, and incremental validity (Study 3). Based on very promising findings, the authors hope to initiate a stream of research in what is argued to be a rather neglected niche of individual differences and non-cognitive assessment.
本文阐述了驱力理论，并描述了两种测量方法的开发与验证过程。从大量人类属性语料库中得出了一组具有代表性的驱力维度（研究1）。使用国际个性项目池版本（驱力：IPIP）进行操作化，在两个样本中从这些维度提取出一个三因素模型，并在第三个样本中得到证实（研究2）。多项目IPIP测量方法与基于维度单项评分的简表显示出一致性，且两者都证明了跨信息源的可靠性。证据还支持了这些测量方法的聚合效度、区分效度、同时效度和增量效度（研究3）。基于非常有前景的研究结果，作者希望在被认为是个体差异和非认知评估中相当被忽视的领域发起一系列研究。
