Investigating Response Heterogeneity in the Context of Positively and Negatively Worded Items by Using Factor Mixture Modeling
使用因子混合模型分析591名受访者对工作满意度和不满意的回答，发现存在两类人群：多数人无问题，少数人难以回答负向措辞项目。排除少数人群后，工作满意度实为单维度，挑战了以往的双维度结论。
Factor mixture modeling was used to investigate potential response incongruity between positively and negatively worded items. Survey respondents ( N = 591) answered questions about job satisfaction and dissatisfaction. Results revealed two classes of respondent: a majority class, who generally do not have problems answering positively and negatively worded items, and a minority class, who have serious trouble with negatively worded items. With the exclusion of the minority class, job satisfaction and dissatisfaction were found to be essentially unidimensional rather than bidimensional as previous research had suggested. These results challenge previous findings regarding the bidimensionality of job satisfaction and cast doubt on the widespread research practice of assuming population homogeneity in survey responses. A detailed flowchart illustrating the analytic procedure and an Mplus syntax program are provided so that researchers can conduct similar investigations on constructs of interest.