Recent research has examined whether behavioral and electrophysiological indicators of impulsivity can predict entrepreneurial tendencies. Findings from the study Are behavioral and electrophysiological measures of impulsivity useful for predicting entrepreneurship? (Fisch et al., 2021) show that psychological self-report measures of impulsivity were associated with several entrepreneurial variables, whereas behavioral tests and EEG measures did not demonstrate the same predictive relationships.
This article does not aim to question the empirical findings of that study. Instead, it uses the results as a starting point to discuss a broader theoretical issue in entrepreneurship research: the role of analytical levels when linking neurocognitive measures to complex entrepreneurial behavior.
This article suggests that these findings reflect a more fundamental issue in entrepreneurship research related to levels of analysis, rather than limitations of neurocognitive methods per se. Entrepreneurship is a complex macro-level behavior shaped by personality, motivation, identity, and social context. When predictors and outcomes operate at different levels of analysis, relationships tend to be weak or inconsistent.
Psychological trait measures may therefore show stronger predictive power because they operate closer to the level at which entrepreneurial decisions and behaviors actually occur. The article also highlights the importance of distinguishing between different forms of impulsivity, particularly between dysfunctional impulsivity and more functional forms of rapid decision-making commonly found in entrepreneurial contexts. Overall, this points to the need for multi-level models in entrepreneurship research.
Keywords: Entrepreneurship, Impulsivity, Neurocognitive Measures, EEG, Personality Traits, Talent Identification.
Citation: Lindstrom, S. (2026). The Level-of-Analysis Problem in Entrepreneurship Research: Why Micro-Level Neurocognitive Measures Struggle to Predict Macro-Level Entrepreneurial Outcomes. J Psychol Neurosci; 8(3):1-4. DOI : https://doi.org/10.47485/2693-2490.1163