Sun Wei, Chou Chih-Ping, Stacy Alan W, Ma Huiyan, Unger Jennifer, Gallaher Peggy
University of Southern California, Los Angeles, California, USA.
Behav Res Methods. 2007 Feb;39(1):71-81. doi: 10.3758/bf03192845.
Cronbach's a is widely used in social science research to estimate the internal consistency of reliability of a measurement scale. However, when items are not strictly parallel, the Cronbach's a coefficient provides a lower-bound estimate of true reliability, and this estimate may be further biased downward when items are dichotomous. The estimation of standardized Cronbach's a for a scale with dichotomous items can be improved by using the upper bound of coefficient phi. SAS and SPSS macros have been developed in this article to obtain standardized Cronbach's a via this method. The simulation analysis showed that Cronbach's a from upper-bound phi might be appropriate for estimating the real reliability when standardized Cronbach's a is problematic.
克朗巴哈系数(Cronbach's α)在社会科学研究中被广泛用于估计测量量表可靠性的内部一致性。然而,当项目并非严格平行时,克朗巴哈系数会提供真实可靠性的下限估计,并且当项目为二分变量时,该估计可能会进一步向下偏倚。对于具有二分变量项目的量表,通过使用系数φ的上限可以改进标准化克朗巴哈系数的估计。本文开发了SAS和SPSS宏程序,以通过这种方法获得标准化克朗巴哈系数。模拟分析表明,当标准化克朗巴哈系数存在问题时,基于系数φ上限的克朗巴哈系数可能适合于估计真实可靠性。