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韦氏成人智力量表第四版(WAIS-IV)因素指数得分与教育水平之间的关系:一种双因素模型方法。

The relationships between WAIS-IV factor index scores and educational level: A bifactor model approach.

作者信息

Abad Francisco J, Sorrel Miguel A, Román Francisco J, Colom Roberto

机构信息

Facultad de Psicología, Universidad Autónoma de Madrid.

出版信息

Psychol Assess. 2016 Aug;28(8):987-1000. doi: 10.1037/pas0000228. Epub 2015 Aug 31.

Abstract

IQ summary scores may not involve equivalent psychological meaning for different educational levels. Ultimately, this relates to the distinction between constructs and measurements. Here, we explore this issue studying the standardization of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) for Spain. A representative sample of 743 individuals (374 females and 369 males) who completed the 15 subtests comprising this intelligence battery was considered. We analyzed (a) the best latent factor structure for modeling WAIS-IV subtest performance, (b) measurement invariance across educational levels, and (c) the relationships of educational level/attainment with latent factors, Full Scale IQ (FSIQ), and index factor scores. These were the main findings: (a) the bifactor model provides the best fit; (b) there is partial invariance, and therefore it is concluded that the battery is a proper measure of the constructs of interest for the educational levels analyzed (nevertheless, the relevance of g decreases at high educational levels); (c) at the latent level, g and, to a lesser extent, Verbal Comprehension and Processing Speed, are positively related to educational level/attainment; (d) despite the previous finding, we find that Verbal Comprehension and Processing Speed factor index scores have reduced incremental validity beyond FSIQ; and (e) FSIQ is a slightly biased measure of g. (PsycINFO Database Record

摘要

智商总分对于不同教育水平可能不具有等同的心理意义。归根结底,这涉及到结构与测量之间的区别。在此,我们通过研究韦氏成人智力量表第四版(WAIS-IV)在西班牙的标准化来探讨这个问题。我们考虑了一个由743人组成的代表性样本(374名女性和369名男性),他们完成了构成该智力测验组的15个分测验。我们分析了:(a)用于对WAIS-IV分测验表现进行建模的最佳潜在因素结构;(b)不同教育水平间的测量不变性;以及(c)教育水平/受教育程度与潜在因素、全量表智商(FSIQ)和指标因素分数之间的关系。主要研究结果如下:(a)双因素模型拟合度最佳;(b)存在部分不变性,因此得出结论,对于所分析的教育水平而言,该测验组是对相关结构的恰当测量(不过,在高教育水平下,g因素的相关性会降低);(c)在潜在层面上,g因素以及在较小程度上的言语理解和加工速度与教育水平/受教育程度呈正相关;(d)尽管有上述发现,但我们发现言语理解和加工速度因素指标分数在FSIQ之外的增量效度有所降低;以及(e)FSIQ对g因素的测量略有偏差。(PsycINFO数据库记录)

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