The Multifaceted Nature of Measurement Artifacts and Its Implications for Estimating Construct-Level Relationships
讨论了测量误差和量表特定因素如何扭曲构念间的观测相关，并提出了两种校正方法（广义等价与稳定性系数和结构方程模型），通过蒙特卡洛模拟检验假设违背的偏差，最后提出利用文献累积知识估计GCES的方法，并应用于整体工作满意度。
Measurement artifacts, including measurement errors and scale-specific factors, distort observed correlations between measures of psychological and organizational constructs. The authors discuss two alternative procedures, one using the generalized coefficient of equivalence and stability (GCES) and one based on structural equation modeling, to correct for the biasing effect of measurement artifacts in order to estimate construct-level relationships. Assumptions underlying the procedures are discussed and the degrees of biases resulting from violating the assumptions are examined by means of Monte Carlo simulation. They then propose an approach using cumulative knowledge in the literature about properties of measures of a construct to estimate the GCES. That approach can allow researchers to estimate relationships between constructs in most research situations. The authors apply the approach to estimate the GCES for overall job satisfaction, an important organizational construct.