Assessing Longitudinal Change: Adjustment for Regression to the Mean Effects
Assessing Longitudinal Change: Adjustment for Regression to the Mean Effects
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DOI：
10.1007/s11162-009-9119-x
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发表时间：
2009-06-01
影响因子：
2.1
通讯作者：
Ethington, Corinna A.
中科院分区：
文献类型：
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作者：
Rocconi, Louis M.;Ethington, Corinna A.
Pascarella（J科尔StudDev 47：508-520，2006）呼吁在研究对大学生的影响时，增加使用前后测设计的纵向数据。然而，这样的设计，使用多种措施，以文件的变化是脆弱的内部有效性的一个重要威胁，回归到平均值。在这里，我们讨论了回归到平均值的简短历史，并说明了一个简单的程序，以调整初始预测试分数的回归到平均值的影响，利用罗伯茨开发的方法（在：G。Echternacht（Guest ed.）测试和测量的新方向，1980年）。分析显示未经调整和调整的预测试成绩，说明学生是否随时间变化的结论显着差异。
Pascarella (J Coll Stud Dev 47:508-520, 2006) has called for an increase in use of longitudinal data with pretest-posttest design when studying effects on college students. However, such designs that use multiple measures to document change are vulnerable to an important threat to internal validity, regression to the mean. Herein, we discuss a brief history of regression to the mean and illustrate a straightforward procedure to make adjustments to initial pretest scores for regression to the mean effects utilizing a method developed by Roberts (in: G. Echternacht (Guest ed.) New directions for testing and measurement, 1980). Analyses are shown with both unadjusted and adjusted pretest scores, illustrating dramatic differences in conclusions about whether students change across time.