Using question order for predictive service quality measures
Purpose - Previous research shows that question order affects responses, but does not indicate which order is more accurate. This study aims to examine the effect of three question orders on measurements of SERVQUAL and global quality in an effort to determine which order produced the most predictiv...
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Veröffentlicht in: | The Journal of services marketing 2008-05, Vol.22 (3), p.255-262 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose - Previous research shows that question order affects responses, but does not indicate which order is more accurate. This study aims to examine the effect of three question orders on measurements of SERVQUAL and global quality in an effort to determine which order produced the most predictive measures.Design methodology approach - Three forms of a survey were randomly distributed to users of different services; banking, dental services, and hair salons. Correlation with intention of future interaction was used to identify the order that resulted in the most predictive quality measure.Findings - The paper finds that correlations with intention of future interaction were highest for SERVQUAL in the global-SERVQUAL order, but highest for the global quality measure in the random order.Research limitation implications - This study indicates that practitioners and academicians should order questionnaire items differently depending on how the results will be used and which type of measure, specific or global service quality, is the focus of a questionnaire. Generalizations are limited to SERVQUAL and multiple item measures of service quality.Practical implications - The findings indicate which of several question orders can be used to generate the most predictive measures of SERVQUAL and global service quality.Originality value - Previous research has examined measurement effects of specific-general question orders, without indicating which order is most predictive. This study includes a random order and also suggests appropriate item order for predictive measures. |
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ISSN: | 0887-6045 2054-1651 |
DOI: | 10.1108/08876040810871200 |