Probing the Interaction Effect in Moderated Multiple Regression

The relationship between predictor variables and outcome variable has been the research focus in recent years. Interaction analysis is a form of multiple regression designed to test the effect of association of predictor variables on outcome variables. This research examines how the relationship bet...

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Bibliographic Details
Published in2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT) pp. 578 - 580
Main Authors Yanchun, Jin, Bing, Guan
Format Conference Proceeding
LanguageEnglish
Published IEEE 31.07.2024
Subjects
Information and communication technology
interaction effects
moderated multiple regression
simple slope method
Testing
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Summary:The relationship between predictor variables and outcome variable has been the research focus in recent years. Interaction analysis is a form of multiple regression designed to test the effect of association of predictor variables on outcome variables. This research examines how the relationship between tourist experience quality and satisfaction changes with perceived service quality. By applying the simple slope approach and J-N technique, the interaction effect of tourism experience and perceived service quality is tested. The results of the moderation analysis shows that tourist experience has more effect on overall satisfaction on low service quality than high service quality. Based on the results, it is not enough only to focus on the attributes performance, researchers and managers should give more attention to the effect of combination of attributes perform for improving satisfaction.
ISSN:2836-7782
DOI:10.1109/ICEICT61637.2024.10670761