Measurement Model of Employability Skills of Vocational High School Student in East Java Using Structural Equation Model (SEM)

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Tri Wrahatnolo, Ekohariadi, Munoto

2020 Proceeding - 2020 3rd International Conference on Vocational Education and Electrical Engineering: Strengthening the framework of Society 5.0 through Innovations in Education, Electrical, Engineering and Informatics Engineering, ICVEE 2020 Conference paper Cited by 2 Quartile

Abstract

This paper examines the measurement model of student employability-skills of the state vocational high school with their actual performance. Our study aims to evaluate the student employability-skills in the field of electrical power installation competencies. Data were collected from 447 students of both genders, purposive sampling selected from the third years of Electrical Power Installation Competencies (EPIC) State Vocational High School (SVHS) students in East Java Province. We analyzed their employability skills in electrical power installation competencies. An adapted questionnaire was used to measure employability skills (X2 = 4347.813, p=.000). This shows that the model fit significantly with the data. The data were analyzed using descriptive statistics and the structural equation model (SEM). The analysis of the data indicated that students' level of employability skills is high (mean=163.22). The results of the fit analysis, the GFI of.654 (<.95) means that the model does not fit into the data, but the NFI, CFI, and RMSEA values are.699,.736,and.878, respectively, indicating that the model is fitted with the data. All standardized regression coefficients are estimated to be statistically significant (>.2). This means that the observed variable is a good indicator of the latent variable of employability skills. Item-total correlation coefficients for all items ranging from.300 to.742 (>.2) and MNSQ for weight-fit ranging from.55 to 1.39 (.5 < MNSQ for weight-fit <1.5). So it can be concluded that all employability skill items are good categories so that it can be used for the data collection process. © 2020 IEEE.

Affiliations

State University of Surabaya, Dept. of Electrical Engineering, Surabaya, Indonesia