Ottenbacher K J
State University of New York, Buffalo 14214.
Arch Phys Med Rehabil. 1992 Feb;73(2):121-5.
The incidence of type IV errors was examined in 71 rehabilitation research studies, including a two-way analysis of variance with a statistically significant interaction. The interpretation of the significant interaction was examined to determine whether it qualified as a type IV error. A type IV error was defined as the incorrect interpretation of a correctly rejected null hypothesis. Statistically significant interactions were classified in one of the following categories: (1) correct interpretation, (2) cell mean interpretation, (3) main effect interpretation, or (4) no interpretation. Interpretations classified as cell means or main effects were considered type IV errors. The analysis revealed that 21% of the interactions were correctly interpreted and 63% of the interactions were classified as type IV errors. The remaining 16% of the studies showed a statistically significant interaction but no interpretation. The implications of statistical conclusion validity and type IV errors are discussed, and methods to eliminate or reduce the incidence of type IV errors in rehabilitation research are presented.
在71项康复研究中对IV型错误的发生率进行了检查,其中包括一项具有统计学显著交互作用的双向方差分析。对显著交互作用的解释进行了检查,以确定其是否符合IV型错误的定义。IV型错误被定义为对正确拒绝的零假设的错误解释。具有统计学显著性的交互作用被归类为以下类别之一:(1) 正确解释,(2) 单元格均值解释,(3) 主效应解释,或 (4) 无解释。归类为单元格均值或主效应的解释被视为IV型错误。分析表明,21% 的交互作用得到了正确解释,63% 的交互作用被归类为IV型错误。其余16% 的研究显示存在统计学显著的交互作用,但未给出解释。讨论了统计结论有效性和IV型错误的影响,并提出了消除或减少康复研究中IV型错误发生率的方法。