Traditionally, the leadership domain has heavily utilized survey methodologies in measurement, predicated on the assumption that follower evaluations effectively capture leader behaviors. However, this approach has been increasingly criticized due to concerns over its reliability and the potential for bias introduced by the reliance on Implicit Leadership Theories (ILTs), which may reflect perceptions based on raters’ preconceived notions rather than actual leader behaviors. By integrating cognitive science perspectives, particularly the differentiation between episodic and semantic memory, this research aims to enhance the precision of leadership measurement. It explores the impact of source monitoring training, retention interval, and response latency on the utilization of episodic memory in leadership evaluations. Employing multiple 2x2 between-subjects factorial experimental designs, the study represents a pioneering effort to examine how these factors interact to produce more accurate and unbiased leadership evaluation using episodic memory. By addressing a significant gap in existing literature, the study aims to offer substantial implications for leadership measurement techniques, thereby contributing to the advancement of leadership theory and practice.

Mert Unur is a professional with a diverse background in academia and human resources management, with a research focus on organizational behavior, particularly in leadership dynamics, job security, and work engagement. His previous professional journey spans significant roles, including Human Resources Generalist and IT Recruitment Consultant, handling performance management, talent acquisition, and leadership dynamics. Currently, he is serving as a PhD Research Fellow at the University of Stavanger, Norway. In his research project, he is delving into the field of responsible leadership, seeking to disentangle its complex nature and explore methods for producing more accurate and unbiased leadership measurements.