A quasi-experimental approach to assessing treatment effects in the nonequivalent control group design.
A quasi-experimental approach to assessing treatment effects in the nonequivalent control group design.
复制标题
在非等效对照组设计中评估治疗效果的准实验方法。
DOI：
10.1037/0033-2909.82.3.345
复制
发表时间：
1975
影响因子：
22.4
通讯作者：
D. Kenny
中科院分区：
文献类型：
--
作者：
D. Kenny
评价了非等效对照组设计的治疗效果的四项统计检验。该设计包括因变量的治疗前和治疗后测量，偏倚分配至治疗组。偏倚分配产生了治疗前混杂，不同的统计技术对此进行了调整。讨论的不同统计检验是协方差分析、可靠性校正协方差分析、原始变化分数分析和标准化变化分数分析。如果治疗组分配基于-j^，即试验前评分（非常罕见的事件），则协方差分析是适当的分析模式。基于预测真实分数的选择需要一个可靠性校正程序。基于稳定组差异的选择和发生在前后测中间的选择需要变化分数分析。补偿性教育项目本应通过标准化的变化分数分析进行分析，但如果采用不适当的统计技术进行分析，则可能会被误认为是有害的。给定一个处理组选择过程的模型，非等效对照组设计可以产生可解释的结果。
Four statistical tests of treatment effect are evaluated for the nonequivalent control group design. This design consists of pre- and posttreatment measures of a dependent variable with biased assignment to treatment groups. The biased assignment creates a treatment-pretest confounding for which different statistical techniques adjust. The different statistical tests discussed are the analysis of covariance, analysis of covariance with reliability correction, raw change score analysis, and standardized change score analysis. If assignment to treatment groups is based on -j^ ,the pretest score (a very infrequent event), analysis of covariance is the appropriate mode of analysis. Selection based on the pretest true scores necessitates a reliability correction procedure. Selection based on stable group differences and selection that -occurs midway between the pre- and posttest necessitates change score analysis. Compensatory education programs can be made to look mistakenly harmful if they are analyzed by an inappropriate statistical technique when they should have been analyzed by standardized change score analysis. Given a model of the process of ^selection into treatment groups, the nonequivalent control group design can yield Snterpretable results.