Application of Structural Equation Model in the Study of Personality Characteristics of Scientific Personnel
|School||Weifang Medical College|
|Course||Epidemiology and Biostatistics,|
|Keywords||Exploratory factor analysis Structural equation modeling Five Factor Personality Inventory Scientific and technical personnel Personality characteristics|
Objective: To explore the personality characteristics of the scientific and technical personnel, and the Five-Factor Personality Inventory simplified to make it better applied to the investigation of personality characteristics, improve the operability of the effectiveness of investigations and investigative activities. In addition, through the analysis of the data, combined with previous studies, to investigate the correct application of exploratory factor analysis and structural equation model Precautions. Methods: science and technology at the University of Shandong Province as the research object, using a two-stage stratified cluster sampling method, grade schools and academic leaders characterized by random cluster sample survey. The survey tool Yang Jian 1996 amendments prepared by Costa McCrae Five-Factor Personality Inventory (Revised NEO Personality Inventory, NEO-PI-R). NEO-PI-R, including the \project, the whole table includes a total of 30 individual cell level and 240 projects. NEO-PI-R 5 ((1) is completely incompatible with (2) is not in line ③ bad determine ④ very much in line with some in line ⑤) scoring system, which forward the topic is \points, reverse topics from \The tendency is more obvious. About the personality traits of the university scientific and technical personnel, the univariate analysis were discussed. Evaluation of scale reliability, the most common current application the method-Chronbach'sα coefficient. Scale validity, internal consistency coefficient. Scale simplified first exploratory factor analysis model using structural equation model on this basis the initialization model verification and adjustment, in order to determine the optimal model. The entire statistical analysis using a statistical software the software in SAS8.1, LISREL8.7 and SPSS11.5 conjunction. Results: Overall, university scientists and technicians prudence highest score, the lowest score on the emotional, the difference was significant (P <0.001). Personality characteristics between the gender situation analysis: the marriage between the personality characteristics of the two-sample t-test, emotional and caution by the two-sample t-test, the men and women in the five personality tendencies P values ??were greater than 0.05, the difference was not statistically significant; Sex P <0.05, the difference was statistically significant; different colleges and universities of science and technology personnel in the score on the five personality tendencies, one-way ANOVA. Upon examination, the different colleges and universities of science and technology personnel in the mood, openness and caution on the difference was statistically significant. The reliability and validity of evaluation scale: Scale reliability evaluation using the most commonly used the Cronbach α the coefficient (Chronbach'sα coefficient). Upon examination, the this study total the table Chronbach'sα coefficient of 0.83; validity assessment of the scale internal consistency coefficient, the internal consistency of each subscale score with the total scale score correlation coefficient significant measure . Upon examination of the correlation coefficient between each subscale and total scale to meet the P <0.01, significant correlation between each subscale and total scale internal consistency of the scale to meet the higher validity. Scale simplify: After exploratory factor analysis, the five-factor personality inventory ultimately simplify 240 entries to 105 entries. Among them, the emotional component Table 21 questions, extraversion subscale of the 22 questions, openness subscale 21 questions, agreeableness subscale of the 21 questions, prudence subscale of the 20 questions. The simplified scale structural equation model validation fit better. Conclusion: the personality characteristics of university scientists and technicians tend cautious and pleasant, no significant influence of gender on personality traits, but marriage and school factors affect personality characteristics. The reliability and validity of the scale, the Five-Factor Personality Inventory for investigation of personality characteristics of university scientific staff. The simplified scale while the correct application of exploratory factor analysis and structural equation model, to provide a reference for similar studies.