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标题：Searching for G: A New Evaluation of SPM-LS Dimensionality
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作者：Eduardo Garcia-Garzon ; Francisco J. Abad ; Luis E. Garrido 等
期刊名称：Journal of Intelligence
电子版ISSN：2079-3200
出版年度：2019
卷号：7
期号：3
页码：1-18
DOI：10.3390/jintelligence7030014
出版社：MDPI Publishing
摘要：There has been increased interest in assessing the quality and usefulness of short versions of the Raven’s Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of g. Nonetheless, the results provided in the initial validation questioned the assumption of essential unidimensionality for SPM-LS scores. We tested this hypothesis through two different statistical techniques. Firstly, we applied exploratory graph analysis to assess SPM-LS dimensionality. Secondly, exploratory bi-factor modelling was employed to understand the extent that potential specific factors represent significant sources of variance after a general factor has been considered. Results evidenced that if modelled appropriately, SPM-LS scores are essentially unidimensional, and that constitute a reliable measure of g. However, an additional specific factor was systematically identified for the last six items of the test. The implications of such findings for future work on the SPM-LS are discussed.
关键词：Raven matrices; Standard Progressive Matrices test; dimensionality; bi-factor; parallel analysis; target rotation; exploratory graph analysis Raven matrices ; Standard Progressive Matrices test ; dimensionality ; bi-factor ; parallel analysis ; target rotation ; exploratory graph analysis