Reynolds Matthew R, Floyd Randy G, Niileksela Christopher R
Department of Psychology and Research in Education.
Psychol Assess. 2013 Dec;25(4):1314-21. doi: 10.1037/a0034102. Epub 2013 Aug 12.
Global composites (e.g., IQs) calculated in intelligence tests are interpreted as indexes of the general factor of intelligence, or psychometric g. It is therefore important to understand the proportion of variance in those global composites that is explained by g. In this study, we calculated this value, referred to as hierarchical omega, using large-scale, nationally representative norming sample data from 3 popular individually administered tests of intelligence for children and adolescents. We also calculated the proportion of variance explained in the global composites by g and the group factors, referred to as omega total, or composite reliability, for comparison purposes. Within each battery, g was measured equally well. Using total sample data, we found that 82%-83% of the total test score variance was explained by g. The group factors were also measured in the global composites, with both g and group factors explaining 89%-91% of the total test score variance for the total samples. Global composites are primarily indexes of g, but the group factors, as a whole, also explain a meaningful amount of variance.
在智力测试中计算出的综合分数(如智商)被解释为智力一般因素或心理测量学g的指标。因此,了解这些综合分数中由g解释的方差比例非常重要。在本研究中,我们使用来自3种针对儿童和青少年的常用个体智力测试的大规模、具有全国代表性的常模样本数据,计算了这个值,即层次ω值。为了进行比较,我们还计算了g和群体因素在综合分数中所解释的方差比例,即总ω值或综合信度。在每个测试组中,g的测量效果相同。使用总样本数据,我们发现总测试分数方差的82%-83%由g解释。群体因素也在综合分数中得到体现,g和群体因素共同解释了总样本总测试分数方差的89%-91%。综合分数主要是g的指标,但总体而言,群体因素也解释了相当可观的方差量。