This study adopted a cross-sectional study. All questionnaire data were obtained at one time by the self-filling method of the respondents, so there may be a common method bias problem. According to the suggestion of Zhou and Long (2004), the control method of common method deviation can start from procedural control and statistical control. In terms of procedural control, this study used an electronic questionnaire and a paper questionnaire, a questionnaire anonymity method, advanced description of research purpose, pretest to improve scale items, and other methods to reduce the common deviation. In the statistical control, the Harman's single-factor test is used to test the common method deviation. Through the unrotated principal component factor analysis, it was found that a total of seven factors were extracted from the principal component analysis, and the cumulative explanation of the seven factors was 68.679%, indicating that all the variation could not be explained by a single factor. Moreover, the variation explained by the first factor was 38.9%, which did not exceed the critical value of 40%, indicating that there was no serious common method bias in the data collected in this study. 1. Summarize the results 2. Evaluate the results