Eastern Illinois University, Charleston, IL, USA.
William & Mary, Williamsburg, VA, USA.
Assessment. 2020 Mar;27(2):274-296. doi: 10.1177/1073191118811609. Epub 2018 Dec 5.
Independent exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) research with the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) standardization sample has failed to provide support for the five group factors proposed by the publisher, but there have been no independent examinations of the WISC-V structure among clinical samples. The present study examined the latent structure of the 10 WISC-V primary subtests with a large ( = 2,512), bifurcated clinical sample (EFA, = 1,256; CFA, = 1,256). EFA did not support five factors as there were no salient subtest factor pattern coefficients on the fifth extracted factor. EFA indicated a four-factor model resembling the WISC-IV with a dominant general factor. A bifactor model with four group factors was supported by CFA as suggested by EFA. Variance estimates from both EFA and CFA found that the general intelligence factor dominated subtest variance and omega-hierarchical coefficients supported interpretation of the general intelligence factor. In both EFA and CFA, group factors explained small portions of common variance and produced low omega-hierarchical subscale coefficients, indicating that the group factors were of poor interpretive value.
使用韦氏儿童智力量表第五版（WISC-V）标准化样本进行的独立探索性因素分析（EFA）和验证性因素分析（CFA）研究未能为出版商提出的五个分组因素提供支持，但在临床样本中还没有对 WISC-V 结构进行独立检验。本研究使用大型（=2512）、分叉的临床样本（EFA，=1256；CFA，=1256）对 WISC-V 的 10 个主要分量测验进行了潜在结构检验。EFA 不支持五个因素，因为在第五个提取因素上没有明显的分量测验因素模式系数。EFA 表明，四因素模型类似于 WISC-IV，具有主导的一般因素。CFA 支持 EFA 提出的四分组因素双因素模型。EFA 和 CFA 的方差估计发现，一般智力因素主导了分量测验方差，omega-层次系数支持对一般智力因素的解释。在 EFA 和 CFA 中，分组因素仅解释了共同方差的一小部分，产生了低的 omega-层次分量系数，这表明分组因素的解释价值较差。
