University of Nevada, Las Vegas, Nevada, USA.
Br J Educ Psychol. 2020 Jun;90 Suppl 1:35-49. doi: 10.1111/bjep.12300. Epub 2019 Jul 12.
Educational and developmental psychologists often examine how groups change over time. Two analytic procedures - analysis of covariance (ANCOVA) and the gain score model - each seem well suited for the simplest situation, with just two groups and two time points. They can produce different results, what is known as Lord's paradox.
Several factors should influence a researcher's analytic choice. This includes whether the score from the initial time influences how people are assigned to groups. Examples are shown, which will help to explain this to researchers and students, and are of educational relevance. It is shown that a common method used to measure school effectiveness is biased against schools that serve students from groups that are historically poor performing.
The examples come from sports and measuring educational effectiveness (e.g., for teachers or schools). A simulation study shows that if the covariate influences group allocation, the ANCOVA is preferred, but otherwise, the gain score model may be appropriate. Regression towards the mean is used to account for these findings.
Analysts should consider the relationship between the covariate and group allocation when deciding upon their analytic method. Because the influence of the covariate on group allocation may be complex, the appropriate method may be complex. Because the influence of the covariate on group allocation may be unknown, the choice of method may require several assumptions.
教育和发展心理学家经常研究群体如何随时间变化。两种分析程序 - 协方差分析(ANCOVA)和增益得分模型 - 似乎都非常适合最简单的情况,即只有两个组和两个时间点。它们可能会产生不同的结果,这被称为 Lord 的悖论。
有几个因素会影响研究人员的分析选择。这包括初始时间的分数是否会影响人们如何被分配到组中。本文将举例说明,这将有助于向研究人员和学生解释这一点,并且具有教育相关性。研究表明,用于衡量学校效能的常用方法对服务于历史上表现不佳的群体的学校存在偏见。
这些例子来自于体育和衡量教育效果(例如,用于衡量教师或学校)。一项模拟研究表明,如果协变量会影响分组,那么应优先使用协方差分析,但否则,增益得分模型可能是合适的。使用回归平均值来解释这些发现。
分析人员在决定分析方法时应考虑协变量与分组之间的关系。由于协变量对分组的影响可能很复杂,因此适当的方法可能也很复杂。由于协变量对分组的影响可能未知,因此方法的选择可能需要多个假设。