This page provides an overview of my research contributions across topics including measurement, personality, statistical techniques, and careless responding. Each section contains summaries of each publication describing the scope and impact of the research. Links to each article are included for anyone interested in exploring the studies in more detail.
My work on careless responding focuses on the causes, detection, and consequences of insufficient effort responding (IER) in surveys and tests. I have shown how behaviors such as straightlining, random responding, and fatigue can distort psychometric properties, confound associations between measures, and undermine the validity of conclusions. I also identify substantive predictors of IER, explore practical data-screening techniques, and provide guidance for both researchers and practitioners on mitigating the threat of low-quality responses.
My research on measurement and psychometrics advances the science of assessment by developing and refining tools that capture personality, resilience, passion, and risk propensity more accurately. I have examined the reliability, validity, and psychometric properties of both established and newly developed instruments, incorporating innovative approaches such as conditional reasoning and item response theory. Through this work, I provide both conceptual clarity and practical guidance for scholars and practitioners who rely on robust measures to study behavior, performance, and well-being.
My research on personality explores both explicit and implicit traits, focusing on how they shape behavior, decision-making, and organizational outcomes. I have examined personality constructs ranging from dark traits and maladaptive dimensions to implicit motives assessed through conditional reasoning, while also clarifying conceptual foundations such as justification mechanisms and ambition. This work advances theory and practice by deepening our understanding of how personality is measured, expressed, and applied in workplace and leadership contexts.
I have contributed to advancing statistical methods in organizational research by developing and evaluating tools that improve the way we interpret reliability, meta-analyses, and complex variance structures. My work highlights the importance of examining temporal consistency, situational specificity, and corrections for measurement error while also pointing out common pitfalls in citing or reviewing meta-analytic findings. Across these projects, I seek to provide researchers with clearer, more transparent, and more accurate tools for designing studies, interpreting data, and building stronger cumulative science.
My work addresses a diverse set of topics that cut across organizational research methods, leadership, workforce well-being, and broader social issues. I explore emerging phenomena such as online data collection, questionable research practices, authorship fairness, and antiwork attitudes. I also contribute to applied topics like leadership, entrepreneurship education, and the role of meetings. These projects highlight my commitment to advancing both methodological rigor and practical relevance across various topics in organizational scholarship.