Youngkyoon Jang

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About

Youngkyoon Jang is a methodologically rigorous researcher whose work lies at the intersection of psychometrics, survey design, and organizational trust. Their most-cited contribution, a 2022 study on “Preliminary psychometric scale development using the mixed methods Delphi technique” (35 citations), exemplifies their commitment to advancing measurement science. In this foundational work, Jang masterfully integrated the Delphi method—a systematic, expert-driven consensus technique—to refine and validate items for a novel Propensity to Trust scale. By combining qualitative expert moderation with quantitative survey iterations, they established a robust, replicable framework for scale development that has already influenced subsequent psychometric research. This dual focus on methodological innovation and substantive trust measurement positions Jang as a key figure in improving how researchers assess interpersonal and organizational trust. Their work not only provides a practical tool for future studies but also sets a new standard for mixed-methods instrument design. With a growing citation footprint, Jang’s contributions are shaping best practices in scale construction and trust research, making their work essential reading for scholars in psychology, organizational behavior, and survey methodology.