Construct Validity and Reliability of Emotional Intelligence Scale

Authors

  • Miftahul Fadhilah Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia
  • Fatwa Tentama Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia
  • Naila Nasywa Ahmad Dahlan University

Keywords:

Empathy, Emotional Intelligence, Self-awareness, Self-regulation, Self-motivation, Social Skills, Structural Equation Modeling

Abstract

The purpose of this study is to test the construct validity and reliability of the emotional intelligence scale. It also wants to examine aspects and indicators that can form emotional intelligence variables. Emotional intelligence is measured by five aspects, which consists of self-awareness, self-regulation, self-motivation, empathy, and social skills. The population in this study are all "X" grade high school students in the city of Yogyakarta, with a total sample of 60 students. The sampling technique performed is simple random sampling technique. The data collection method is a scale of emotional intelligence. Research data were analyzed using Structural Equation Modeling (SEM) through the SmartPLS 3.2.8 program. Based on the results of data analysis, the aspects and indicators that shape the emotional intelligence variable met validity and reliability requirement. The most dominant aspect that reflects the emotional intelligence variable is self-regulation with a loading factor of 0.848. The weakest aspect reflecting the emotional intelligence variable is self-awareness with a loading factor of 0.613. This shows that all aspects and indicators are able to reflect and form emotional intelligence variables. Thus, the measurement model can be accepted because the theory that describes emotional intelligence variables fit with empirical data obtained from the subject.

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Published

2020-02-26

How to Cite

Fadhilah, M. ., Tentama, F., & Nasywa, N. . (2020). Construct Validity and Reliability of Emotional Intelligence Scale. International Journal of Sciences: Basic and Applied Research (IJSBAR), 50(1), 55–67. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/10817

Issue

Vol. 50 No. 1 (2020)

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Articles

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