Abstract
The purpose of the study aimed to investigate how the interviewer’s and the applicant’s background variables and the interviewer’s psychological factors influence the interview assessment of the teacher selection in junior high school. Focusing on the effect of the interviewer’s perceived similarity, this study applied structural equation modeling on a cause-effect model for the interview assessment of the teacher selection.
The instrument is a revision of the Interview Assessment Form proposed by Graves and Powell (1988). The objects of data-gathering are those interviewers of junior high school teacher selection in Taipei County, Taipei City, and Taoyuan County in 2004. A total of 78 interviewers participate in this research; each interviewer has 3 to 23 interviewees. Thus, a total of 883 Interview Assessment Forms are collected, 844 of which are effective. And a total of 570 effective Assessment Forms answered by 57 interviewers are selected for the data analysis of LISREL Structural Equation Modeling.
According to the result of data analysis, the conclusions of my research are as follows: (1) Such background variables as the interviewer’s interview experience, level of education, job position, the educational background of the applicants, and teaching fields have significant influence upon the result of interview assessment. (2) Based on the parameter estimations and the modification indexes resulting from Structural Equation Modeling Analysis, the decision model of the interview is modified and becomes well-fit, which means the modifies model can fit with the empirical date perfectly. From the analysis of Structural Equation Modeling, the strongest influence of the psychological factors upon the total effect of interview assessment is the interviewer’s perceived similarity, followed by the sequence of the applicant’s likability, the applicant’s specialty, and the applicant’s appearances and behavior.
| Keywords: | teacher selection; interview; perceived similarity; structural equation modeling |
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