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Direct linkRongxiu Wu; Susan Sunbury; Philip Sadler; Gerhard Sonnert – Education and Information Technologies, 2024
Student identity measures in Science, Technology, Engineering, and Mathematics (STEM) fields are a strong predictor of future persistence in those disciplines. However, there is a paucity of studies with validated measures of students' computer science (CS) identity. The aim of the present study was to assess the reliability and validity of a…
Descriptors: Test Reliability, Test Validity, Computer Science Education, Self Concept
