A short-form measure of user information satisfaction: a psychometric evaluation and notes on use
Journal of Management Information Systems
Response surfaces: designs and analyses
Response surfaces: designs and analyses
The joint impact of internal and external career anchors on entry-level IS career satisfaction
Information and Management
Closing the user and provider service quality gap
Communications of the ACM
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Information Systems Research
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Quality and effectiveness in web-based customer support systems
Information and Management
The impact of IS sourcing type on service quality and maintenance efforts
Information and Management
The impact of role stress fit and self-esteem on the job attitudes of IT professionals
Information and Management
How to avoid disappointment by design
Communications of the ACM
Person-Job Cognitive Style Fit for Software Developers: The Effect on Strain and Performance
Journal of Management Information Systems
Relationships Between Job Skills and Performance: A Study of Webmasters
Journal of Management Information Systems
Integrating perceived playfulness into expectation-confirmation model for web portal context
Information and Management
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Journal of Management Information Systems
Journal of Management Information Systems
Journal of Management Information Systems
IT service climate, antecedents and IT service quality outcomes: Some initial evidence
The Journal of Strategic Information Systems
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A number of models and theories in information systems research include concepts of a match between two variables or states. The development of measures for this concept can present problems, because decisions must be made about the nature of the comparison. Should indirect measures of the match be employed, then methodological issues arise about how to best handle the measure when testing the model. Difference scores are commonly used to measure a match between variables or states in IS research, but these have implicit assumptions about the theory and data characteristics that are often false. Not unexpectedly, false assumptions can lead to erroneous conclusions about the relationships among the variables that are used to determine a match in a research model. The implicit assumptions restrict the form of the relationships and limit the IS researcher's ability to understand the possible interplay among theoretical concepts. We suggest some guidelines for the formation and testing of models that measure the match. In addition, we recommend polynomial regression analysis as one means of analyzing the more complex relationships in IS studies. We then use an IS service quality example to illustrate the issues involved in the use of matching variables and make suggestions with regard to using or avoiding difference scores.