title: [Chi-squared automatic interaction detection analysis and its application in evaluating factors attributing to Chinese university teachers' professional burnout].
abstract: OBJECTIVE
  To introduce Chi-squared automatic interaction detection (CHAID) method and its application in assessment of the factors that contribute to the Chinese university teachers' professional burnout.
  
  
  METHODS
  With CHAID method, the data acquired from a questionnaire-based investigation among 100 full-time teachers of Chinese universities were analyzed.
  
  
  CONCLUSIONS
  Significant difference in the attitude toward the profession was noted between the teachers with high- and low-level professional burnout. Among the factors contributing to the teachers' negative attitude, the sense of accomplishment in the profession, degree of preference of the profession, status of personal relations and social communications, along with the working environment, are the key elements that have most profound effect upon the teachers.
authors.affiliation: Department of Medical Statistics,First Military Medical University, Guangzhou 510515, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Zhang
authors.forename: Ping-yan
authors.initials: PY
authors.lastname: Chen
authors.forename: Xiao-yuan
authors.initials: XY
authors.lastname: Zhang
mesh_terms: D002055:Burnout, Professional / Q000209:etiology*; D016009:Chi-Square Distribution; D006801:Humans; D011795:Surveys and Questionnaires; D013663:Teaching; D014495:Universities