Evaluation of the Nomological Validity of Cognitive, Emotional, and Behavioral Factors for the Measurement of Developer Experience

• Main Authors: Heeyoung Lee, Younghwan Pan
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Applied Sciences
• Subjects: developer experience; deep-learning platform; measurement model; nomological validity
• Online Access: https://www.mdpi.com/2076-3417/11/17/7805

Background: Developer experience should be considered a key factor from the beginning of the use of development platform, but it has not been received much attention in literature. Research Goals: The present study aimed to identify and validate the sub-constructs and item measures in the evaluation of developer experience toward the use of a deep learning platform. Research Methods: A Delphi study as well as a series of statistical methodologies including the assessment of data normality, common method bias, and exploratory and confirmatory factor analysis were utilized to determine the reliability and validity of a measurement model proposed in the present work. Results: The results indicate that the measurement model proposed in this work successfully ensures the nomological validity of the three second-order constructs of cognitive, affective, and behavioral components to explain the second-order construct of developer experience at <i>p</i> < 0.5 Conclusions: The measurement instrument developed from the current work should be used to measure the developer experience during the use of a deep learning platform. Implication: The results of the current work provide important insights into the academia and practitioners for the understanding of developer experience.