This study aims to extend previous tourist behavior research by examining whether and how a set of covariates, including culture, social demographics, and travel behavioral patterns, can affect the behavioral consequences of hotel guests. We developed a Multiple Indicators Multiple Causes (MIMIC) model to test the effects of these covariates on the factor structure of hotel guests’ behavioral consequences, which were measured by service quality, satisfaction, loyalty, and complaint intentions . The model was tested on a large sample of 2,267 Hong Kong hotel guests during the period 2010–2015. This study verified the four-factor structure of the behavioral consequences of hotel guests in the presence of the covariates. The results showed that culture, demographic variables including gender, age, education, and income, and travel experience can predict the behavioral consequences of hotel guests in Hong Kong.