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Limited Internal Comparability of General Intelligence Composites: Impact on External Validity, Possible Predictors, and Practical Remedies
Assessment ( IF 4.282 ) Pub Date : 2021-04-02 , DOI: 10.1177/10731911211005171
Silvia Grieder 1 , Anette Bünger 1 , Salome D Odermatt 1 , Florine Schweizer 1 , Alexander Grob 1
Affiliation  

Research on comparability of general intelligence composites (GICs) is scarce and has focused exclusively on comparing GICs from different test batteries, revealing limited individual-level comparability. We add to these findings, investigating the group- and individual-level comparability of different GICs within test batteries (i.e., internal score comparability), thereby minimizing transient error and ruling out between-battery variance completely. We (a) determined the magnitude of intraindividual IQ differences, (b) investigated their impact on external validity, (c) explored possible predictors for these differences, and (d) examined ways to deal with incomparability. Results are based on the standardization samples of three intelligence test batteries, spanning from early childhood to late adulthood. Despite high group-level comparability, individual-level comparability was often unsatisfactory, especially toward the tails of the IQ distribution. This limited comparability has consequences for external validity, as GICs were differentially related to and often less predictive for school grades for individuals with high IQ differences. Of several predictors, only IQ level and age were systematically related to comparability. Consequently, findings challenge the use of overall internal consistencies for confidence intervals and suggest using confidence intervals based on test–retest reliabilities or age- and IQ-specific internal consistencies for clinical interpretation. Implications for test construction and application are discussed.



中文翻译:

通用情报复合材料的有限内部可比性:对外部有效性、可能的预测因素和实际补救措施的影响

通用智能复合材料 (GIC) 的可比性研究很少,并且只专注于比较来自不同测试电池的 GIC,揭示了有限的个体水平可比性。我们对这些发现进行了补充,调查了测试电池内不同 GIC 的组和个体级别的可比性(即内部分数可比性),从而最大限度地减少瞬态误差并完全排除电池间的差异。我们(a)确定了个体智商差异的大小,(b)调查了它们对外部有效性的影响,(c)探索了这些差异的可能预测因素,以及(d)研究了处理不可比性的方法。结果基于从儿童早期到成年晚期的三个智力测试电池的标准化样本。尽管具有很高的组级可比性,个体水平的可比性通常不能令人满意,尤其是在智商分布的尾部。这种有限的可比性会对外部效度产生影响,因为 GIC 与具有高 IQ 差异的个体的学校成绩存在差异性相关性,并且通常对学校成绩的预测性较差。在几个预测因素中,只有智商水平和年龄与可比性系统相关。因此,研究结果对置信区间整体内部一致性的使用提出了挑战,并建议使用基于重测信度或年龄和智商特定内部一致性的置信区间进行临床解释。讨论了对测试构建和应用的影响。这种有限的可比性会对外部效度产生影响,因为 GIC 与具有高 IQ 差异的个体的学校成绩存在差异性相关性,并且通常对学校成绩的预测性较差。在几个预测因素中,只有智商水平和年龄与可比性系统相关。因此,研究结果对置信区间整体内部一致性的使用提出了挑战,并建议使用基于重测信度或年龄和智商特定内部一致性的置信区间进行临床解释。讨论了对测试构建和应用的影响。这种有限的可比性会对外部效度产生影响,因为 GIC 与具有高 IQ 差异的个体的学校成绩存在差异性相关性,并且通常对学校成绩的预测性较差。在几个预测因素中,只有智商水平和年龄与可比性系统相关。因此,研究结果对置信区间整体内部一致性的使用提出了挑战,并建议使用基于重测信度或年龄和智商特定内部一致性的置信区间进行临床解释。讨论了对测试构建和应用的影响。研究结果对使用整体内部一致性作为置信区间提出了挑战,并建议使用基于重测信度或年龄和智商特定内部一致性的置信区间进行临床解释。讨论了对测试构建和应用的影响。研究结果对使用整体内部一致性作为置信区间提出了挑战,并建议使用基于重测信度或年龄和智商特定内部一致性的置信区间进行临床解释。讨论了对测试构建和应用的影响。

更新日期:2021-04-02
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