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บทคัดย่อ
Linear Structural Relationship Model of Marketing Factors in Private Vocational Institute Administration Affecting Student’s Achievement
Tiva Jangsuk1) Sakthai Surakitbowon2) Tanongsak Koomkhainam3) and Waro Phengsawat4)
1)Department of Educational Administration and Development, Sakon Nakhon Rajabhat University.
2)Associate Professor Department of Educational Administration, Sakon Nakhon Rajabhat University.
3)Associate Professor Department of Educational Administration, Sakon Nakhon Rajabhat University.
4)Assistant Professor Department of Educational Administration, Sakon Nakhon Rajabhat University.
The purposes of this study were to create a linear structural relationship model of marketing factors in private vocational institute administration affecting student’s achievement, and to investigate goodness of fit of the created model and the empirical data. The study was conducted in two phases : Phase I – determining a research conceptual framework and Phase II – testing the research hypotheses. The research instrument was a questionnaire with reliability coefficient from 0.90-0.97. The samples comprised a total of 603 students of private vocational institute in Northeast areas of the 2014 academic year. LISREL for windows program was applied to analyze the confirmatory factor analysis, and to test goodness of fit of the created model and the empirical data. The findings were as follows : 1) The linear structural relationship model of marketing factors in private vocational institute affecting student’s achievement comprised six components: Student factors, Studying support factors, Service marketing mix factors, Service marketing strategy, Service quality and Student’s achievement. 2) The goodness of fit between the created model and the empirical data showed that they were a good fit (Chi-square = 61.93, P-value = 1, df = 141, RMSEA = 0.00, GFI = 0.99, AGFI = 0.98, Largest Standardized Residual = 1.84). The factors that had highest direct, indirect, and total effect toward the student’s achievement respectively as follows : Direct Effects was Service quality, Indirect Effects was Studying support factors and Total Effects was Service marketing mix factors. When considering the prediction power, the five causal factors could explain the variance of student’s achievement with the value of 91.5 percent.