The Measurement Invariance of the Computational Thinking Self-efficacy Scale
BorChen Kuo , ChengHsuan Li , PeiChen Wu
Computational thinking is one of the basic
abilities that students should have in the 21st century
(Grover, 2018). Many countries have noticed the
importance of computational thinking and included it
in the national curriculum, including Taiwan.
Because of its importance and a large number of
studies demonstrate the impact of self-efficacy on
academics, therefore, we have developed a scale to
evaluate students' self-efficacy in computational
thinking (Kuo, Li & Wu, 2021). The scale was
constructed by the framework of Zhong, Wang, Chen,
& Li (2016), which has three dimensions:
computational thinking concepts, computational
thinking practices, and computational thinking
perspective. After verifying the confirmatory factor
analysis and reliability analysis, the results show the
scale's reliability and construct validity.
Since the subjects of the scale span different
genders and ages, in this research, we examine the
measurement invariance of the scale, the measurement
invariance analysis was performed to verify whether
the scale has measurement consistency across groups.
The results show that the scale has "configural
invariance", "metric invariance" and "scalar invariance
".