Velicer W F, McDonald R P
Multivariate Behav Res. 1991 Apr 1;26(2):247-54. doi: 10.1207/s15327906mbr2602_3.
Cross-sectional time series designs assess the generalizability of intervention effects across different units. The general transformation approach to time series analysis was proposed by Velicer and McDonald (1984) to avoid the model identification step. A general transformation matrix is employed for all analyses rather than the specific matrix associated with a particular model. This article extends the general transformation matrix approach to the analysis of multiple unit data by the development of a patterned transformation matrix. A sequence of tests of the parameters permits the assessment of between unit differences. The resulting procedure includes several alternative approaches as special cases and is easily implemented with only minor revisions in existing computer software.
横断面时间序列设计评估干预效果在不同单位间的可推广性。Velicer和McDonald（1984年）提出了时间序列分析的一般变换方法，以避免模型识别步骤。在所有分析中使用的是一般变换矩阵，而非与特定模型相关的特定矩阵。本文通过开发一种模式化变换矩阵，将一般变换矩阵方法扩展到多单位数据的分析中。一系列参数检验允许评估单位间差异。由此产生的程序包括几种作为特殊情况的替代方法，并且只需对现有计算机软件进行少量修改即可轻松实现。
