A Test for Change of Composite Reliability in Scale Development

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Point and Interval Estimation of Reliability for Multiple-Component Measuring Instruments via Linear Constraint Covariance Structure Modeling (2004, methodology): “A formal test of the hypothesis of no reliability change after scale revision is accomplished with the procedure described in Raykov and Grayson (2003), which should be applied on a sample independent from the one used for this hypothesis’s generation.”
Confirmatory Factor Analysis for Applied Research (2006, methodology): “As in the Satorra–Saris (1985) approach, the Monte Carlo method requires specification of an H1 model containing the population values of all parameters (e.”
Service quality, customer satisfaction, and behavioral intentions in fast‐food restaurants (2009, methodology): “Composite reliability rather than Cronbach’s a was used to assess reliability because the latter may over- or underestimate the reliability coefficient especially when multidimensional measures or pre-specified sets of items are used (Brunner and SÜß, 2005; Raykov and Grayson, 2003).”