Evaluation and analysis of criteria and sub-criteria of a ... - Emerald

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ECAM15,132Figure 5.Scree plot of eigen valuesfor criteria ofexcellence modelConfirmatory factor analysis is used to reassure the single factor structure asexpressed by the CFA Model in Figure 6, where the criteria of the ConstructionExcellence Model are related to a latent variable that is assumed to be “excellence”. Theterm “latent” refers to a variable that is not directly measured or is unobserved(Loehlin, 1998, p. 1). The CFA Model is expressed in the form of a path diagram withthe rectangles resembling items of the CFA Model and the latent variable portrayed asan ellipse. The arrows point from the latent variable to the items of the CFA Modelindicating that it is expressed in terms of the items (Cramer, 2003). A similarmanifestation of the EFQM Excellence Model as a CFA Model has been described inthe literature (Eskildsen et al., 2001, p. 788).The computations of the confirmatory factor analysis were conducted on theLISREL software. The observed variables (criteria) were obtained by the summatedscores of sub-criteria effectiveness. A program written in the SIMPLIS language wasdeveloped and the covariance matrix was prepared as input to the program using thePRELIS program that accompanies the LISREL package. The appropriateness of theCFA Model is determined by goodness-of-fit indices that indicate how well the data fitthe model. A large number of indices exist in the literature and there is little agreementas to which one is appropriate (Cramer, 2003). Of these indices, the root mean squarederror of approximation (RMSEA) is gaining popularity (Loehlin, 1998, p. 76) and isconsidered the only index to satisfy the ideal properties described by Gerbing and
A constructionexcellence model33Figure 6.CFA model of excellencecriteriaAnderson (1992) of indicating the degree of fit along a continuum with bounded values;being independent of sample size; and having known distributional characteristics.The value of RMSEA in the LISREL output for the CFA Model is 0.099, which indicatesa good fit since it is below the acceptable threshold of 0.1 (Cramer, 2003, p. 34; Loehlin,1998, p. 77). Therefore, the empirical data confirm the CFA model in Figure 6, whichillustrates the expression of the latent variable “excellence” in terms of the modelcriteria.Evaluation of model sub-criteriaThe sub-criteria of the Construction Excellence Model as developed from previousresearch are depicted in the sub-criteria of the questionnaire. These sub-criteria were
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