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Structural Validity of the Wechsler Intelligence Scale for Children-Fifth Edition: Confirmatory Factor Analyses With the 16 Primary and Secondary Subtests

机译:儿童第五版的氟斯勒智力规模的结构有效性:用16个主要和次级子剧类分析验证因素分析

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The factor structure of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V; Wechsler, 2014a) standardization sample (N = 2,200) was examined using confirmatory factor analyses (CFA) with maximum likelihood estimation for all reported models from the WISC-V Technical and Interpretation Manual (Wechsler, 2014b). Additionally, alternative bifactor models were examined and variance estimates and model-based reliability estimates (omega coefficients) were provided. Results from analyses of the 16 primary and secondary WISC-V subtests found that all higher-order CFA models with 5 group factors (VC, VS, FR, WM, and PS) produced model specification errors where the Fluid Reasoning factor produced negative variance and were thus judged inadequate. Of the 16 models tested, the bifactor model containing 4 group factors (VC, PR, WM, and PS) produced the best fit. Results from analyses of the 10 primary WISC-V subtests also found the bifactor model with 4 group factors (VC, PR, WM, and PS) produced the best fit. Variance estimates from both 16 and 10 subtest based bifactor models found dominance of general intelligence (g) in accounting for subtest variance (except for PS subtests) and large omega-hierarchical coefficients supporting general intelligence interpretation. The small portions of variance uniquely captured by the 4 group factors and low omega-hierarchical subscale coefficients likely render the group factors of questionable interpretive value independent of g (except perhaps for PS). Present CFA results confirm the EFA results reported by Canivez, Watkins, and Dombrowski (2015); Dombrowski, Canivez, Watkins, and Beaujean (2015); and Canivez, Dombrowski, and Watkins (2015).
机译:使用验证因子分析(CFA)检查了儿童第五版(WISC-V; WeChsler,2014A)标准化样品(N = 2,200)的巫师智力规模的因子结构,具有来自WISC的所有报告模型的最大可能性估计v技术和解释手册(Wechsler,2014b)。另外,检查了替代的双移位器模型,提供了方差估计和基于模型的可靠性估计(OMEGA系数)。分析的结果来自16个主要和二级WISC-V的子测试发现,所有高阶CFA模型,具有5个组因子(VC,VS,FR,WM和PS)产生了模型规范误差,流体推理因子产生负方差和因此被判断不足。在测试的16种型号中,包含4个组因子(VC,PR,WM和PS)的双层运动模型产生了最合适的。 10个主要WISC-V和SUBTEST的分析结果也发现了具有4个组因子(VC,PR,WM和PS)的双层运动模型,产生了最合适的。基于16和10个基于SubTest的双层的双端存储器模型的方差估计在核对子项方差(PS子测试除外)以及支持一般情报解释的大型欧米孔分层系数中,找到了总体智能(G)的主导地位。由4个组因子和低OMEGA分层亚电视系数唯一捕获的差异唯一的差异可能使得可靠的群体因子与G(PS的PS除外)无关的可疑解释值。目前的CFA结果证实了Canivez,Watkins和Dombrowski(2015)报道的EFA结果; Dombrowski,Canivez,Watkins和Beaujean(2015);和Canivez,Dombrowski和Watkins(2015年)。

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