Wolff Hans-Georg, Preising Katja
University of Erlangen-Nürnberg, Nürnberg, Germany.
Behav Res Methods. 2005 Feb;37(1):48-58. doi: 10.3758/bf03206397.
To ease the interpretation of higher order factor analysis, the direct relationships between variables and higher order factors may be calculated by the Schmid-Leiman solution (SLS; Schmid & Leiman, 1957). This simple transformation of higher order factor analysis orthogonalizes first-order and higher order factors and thereby allows the interpretation of the relative impact of factor levels on variables. The Schmid-Leiman solution may also be used to facilitate theorizing and scale development. The rationale for the procedure is presented, supplemented by syntax codes for SPSS and SAS, since the transformation is not part of most statistical programs. Syntax codes may also be downloaded from www.psychonomic.org/archive/.
为便于高阶因子分析的解释，变量与高阶因子之间的直接关系可通过施密德 - 莱曼解法（SLS；施密德和莱曼，1957年）来计算。这种高阶因子分析的简单变换使一阶因子和高阶因子正交化，从而能够解释因子水平对变量的相对影响。施密德 - 莱曼解法还可用于促进理论构建和量表开发。文中阐述了该程序的基本原理，并辅以SPSS和SAS的语法代码，因为这种变换并非大多数统计程序的一部分。语法代码也可从www.psychonomic.org/archive/下载。
