Determining the reliability and validity of service quality scores in a public library context: A confirmatory approach

Abstract

This study used confirmatory factor analysis to analyze the secondary data resulting from a service quality survey conducted by a large public library. The library outsourced the development of this survey, which was founded on the well-recognized SERVQUAL and LibQUAL+ service quality models. Applying structural equation modeling and recognized fit indexes to the secondary data, this study determined that the library model did not fit the data and that the data itself were neither reliable nor valid. This study developed a nine-step process for implementing the SERVQUAL model that enables the data derived from SERVQUAL-type implementations to provide superior information for decision making.

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