Philseok Lee, Mina Son, Steven Zhou, Sean Joo, Zihao Jia, Virginia Cheng
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The Journey of Forced Choice Measurement Over 80 Years: Past, Present, and Future
Over the past two decades, forced-choice (FC) measures have received considerable attention from researchers and practitioners in industrial and organizational psychology. Despite the growing body of research on FC measures, there has not yet been a comprehensive review synthesizing the diverse lines of research. This article bridges this gap by presenting a systematic review of post-2000 literature on FC measures, addressing ten critical questions, including: 1) validity evidence, 2) faking resistance, 3) FC IRT models, 4) FC test design, 5) FC measure development, 6) test-taker reactions and response processes, 7) measurement and predictive bias, 8) reliability, 9) computerized adaptive testing, and 10) random responding. The review adopts a historical perspective, tracing the development of FC measures and highlighting key empirical findings, methodological advances, current trends, and future directions. By synthesizing a substantial body of evidence across multiple research streams, this article serves as a valuable resource, providing insights into the psychometric properties, theoretical underpinnings, and practical applications of FC measures in organizational contexts such as personnel selection, development, and assessment.
期刊介绍:
Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.