Accounting for estimated IQ in neuropsychological test performance with regression-based techniques.
Accounting for estimated IQ in neuropsychological test performance with regression-based techniques.
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使用基于回归的技术来解释神经心理学测试表现中的估计智商。
DOI：
10.1017/s1355617709990713
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Schretlen,DavidJ
中科院分区：
文献类型：
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作者：
Testa,SMarc;Winicki,JessicaM;Pearlson,GodfreyD;Gordon,Barry;Schretlen,DavidJ
基于回归的规范技术解释了与多个预测变量相关的测试性能的可变性，并基于代数方程生成预期分数。使用这种方法，我们表明，在大多数认知测量中，基于口头文字阅读的估计智商占了年龄、性别、种族和受教育年限的个体差异所解释的变异的1-9%。这些结果证实，在多元回归模型中，将估计的“发病前”智商添加到人口预测因子中，可以逐步提高基于回归规范（rbn）对健康成人预期神经心理测试成绩的基准准确性。由估计的“发病前”智商解释的测试表现的增量差异是否转化为患者样本中诊断准确性的提高，还有待观察。我们描述了这些方法，并通过两个案例说明了rbn的逐步应用。我们还讨论了这种方法的基本原理、假设和注意事项。更广泛地说，我们注意到，根据年龄和其他特征调整考试分数实际上可能会降低考试成绩预测绝对标准的准确性，比如驾驶能力或独立生活的能力。（植物学报，2009,15,1012-1022 .）
Regression-based normative techniques account for variability in test performance associated with multiple predictor variables and generate expected scores based on algebraic equations. Using this approach, we show that estimated IQ, based on oral word reading, accounts for 1–9% of the variability beyond that explained by individual differences in age, sex, race, and years of education for most cognitive measures. These results confirm that adding estimated “premorbid” IQ to demographic predictors in multiple regression models can incrementally improve the accuracy with which regression-based norms (RBNs) benchmark expected neuropsychological test performance in healthy adults. It remains to be seen whether the incremental variance in test performance explained by estimated “premorbid” IQ translates to improved diagnostic accuracy in patient samples. We describe these methods, and illustrate the step-by-step application of RBNs with two cases. We also discuss the rationale, assumptions, and caveats of this approach. More broadly, we note that adjusting test scores for age and other characteristics might actually decrease the accuracy with which test performance predicts absolute criteria, such as the ability to drive or live independently. (JINS, 2009, 15, 1012–1022.)