Point and Interval Estimation of Reliability for Multiple-Component Measuring Instruments via Linear Constraint Covariance Structure Modeling

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The impact of live video streaming on online purchase intention (2020, background): “93 (Raykov, 2004), exceeding the threshold value of 0.”
Constructing Approximate Confidence Intervals for Parameters With Structural Equation Models (2009, unknown): “gif"/>) (eg, Agresti, 2002 ; Casella & Berger, 2002 ; Rice, 1995 ; see also Raykov & Marcoulides, 2004 , for an introduction).”
An exploratory study of teachers’ subjective wellbeing: understanding the links between teachers’ income satisfaction, altruism, self-efficacy and work satisfaction (2020, methodology): “Based on the goodness of fit indices of the CFA models, composite reliability coefficients (ω) were calculated using the parameters estimated from each of the CFA models (Raykov, 2004) to examine the reliability of the measures in Step 2.”
On Multilevel Model Reliability Estimation From the Perspective of Structural Equation Modeling (2006, methodology): “…the composite reliability coefficient by inversion, after substituting into Equation 4 estimates of all involved parameters that are obtained by fitting the model in Equation 1 with all paths from error terms to corresponding observed variables set equal to B1/2 (e.g., Raykov, 2002, 2004b).”