文章基本信息

标题：Raven’s Progressive Matrices, manipulations of complexity and measures of accuracy, speed and confidence
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作者：LAZAR STANKOV ; KARL SCHWEIZER
期刊名称：Psychology Science
印刷版ISSN：1614-9947
出版年度：2007
卷号：49
期号：04
出版社：Pabst Science Publishers
摘要：This paper examines the effects of complexity-enhancing manipulations of two cognitive tasks – Swaps and Triplet Numbers tests (Stankov, 2000) – on their relationship with Raven’s Progressive Matrices test representing aspects of fluid intelligence. The complexity manipulations involved four treatment levels, each requiring an increasing number of components and relationships among these components. The accuracy, speed of processing, and confidence measures were decomposed into experimental and non-experimental parts and represented by the latent variables within a structural equation model. In the fitted model, four latent predictor variables had substantial path coefficients to Raven’s Progressive Matrices test. Experimental accuracy scores for both Swaps and Triplet Numbers tests have significant predictive validity. Thus, complexity-enhancing manipulations affect correlations fluid intelligence captured by the Raven’s test. In addition, two non-experimental latent variables (speed from Triplet Numbers and confidence from Swaps) have significant path coefficients.
关键词：intelligence, ability, complexity, Fixed-links Model