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Correction for range restriction: Lessons from 20 research scenarios
Military Psychology ( IF 1.270 ) Pub Date : 2022-03-01 , DOI: 10.1080/08995605.2021.2022067
Thomas R. Carretta 1 , Malcolm James Ree 2
Affiliation  

ABSTRACT

Data are often available only for recruits, a range-restricted sample. This creates the potential for mistaken inferences and poor decisions. This is because inferences and decisions are about the population, not the sample. Despite these problems, researchers must try to determine statistical values as if the sample was not range-restricted. Although range restriction correction methods have been available for over a century, often they are not applied or are applied incorrectly. Technical psychometric discussions of range restriction have not improved researcher practice. As an alternative, realistic scenarios are presented to illustrate and explain the consequences of (1) failing to correct correlations, (2) using the wrong correction formula, (3) correcting when information about previous selection variables is unavailable, (4) using an inappropriate unrestricted sample, (5) incorrectly computing the confidence interval for corrected correlations, and (6) interpretation of results. Although there are situations under which correction has little effect, correction still provides better estimates of relations among variables. It also improves theoretical understanding and interpretation of real-world results.



中文翻译:

范围限制的修正:来自 20 个研究场景的经验教训

摘要

数据通常仅适用于新兵,这是一个范围受限的样本。这会产生错误推论和错误决策的可能性。这是因为推断和决定是关于总体的,而不是样本。尽管存在这些问题,研究人员必须尝试确定统计值,就好像样本不受范围限制一样。尽管范围限制校正方法已经存在了一个多世纪,但它们通常未被应用或应用不正确。关于范围限制的技术心理测量学讨论并没有改善研究人员的实践。作为替代方案,提出了现实场景来说明和解释(1)未能纠正相关性的后果,(2)使用错误的纠正公式,(3)在有关先前选择变量的信息不可用时进行纠正,(4) 使用不适当的无限制样本,(5) 错误地计算校正相关性的置信区间,以及 (6) 解释结果。尽管在某些情况下校正几乎没有效果,但校正仍然可以更好地估计变量之间的关系。它还提高了对现实世界结果的理论理解和解释。

更新日期:2022-03-01
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