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Cross-Level Inference Errors in Scientific Interpretation—From Ecological Correlation to the Control of Inference and Communication Levels

Author

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  • Adam Szromek

    (Department of Organization and Management, Institute of Economy and Informatics, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

Cross-level inference errors constitute a specific source of misleading scientific interpretation. They arise when the meaning assigned to a finding is transferred from one level of analysis to another without sufficient methodological justification. The conceptual aim of this article is to explain how a formally valid statistical association may become misleading when its interpretation or communication goes beyond the level at which the data were collected and the association was estimated. The practical aim is to propose a procedure for checking level alignment. The article is conceptual and review-based in nature. It relies on a purposive, problem-oriented synthesis of literature from research methodology, social epidemiology, multilevel analysis, selection bias, spin and exaggeration in scientific communication, and misinformation in and about science. Its contribution consists of linking the classical methodological problem of ecological and atomistic fallacies with the communicative processes through which scientific findings are reformulated in abstracts, press releases, media reports, and secondary summaries. On this basis, the article proposes a model of alternative pathways leading from a statistical association specific to a given level to a public claim, distinguishing a level-aligned pathway from a pathway leading to a Level-Misaligned Public Claim. The article also introduces the Inference-Level Alignment Procedure as a procedure for checking the alignment between the level of inference and the level of communication. This procedure includes two diagnostic checkpoints: alignment between analysis and inference, and alignment between inference and communication. The article argues that responsible scientific interpretation and communication require not only fact-checking, but also checking whether the level of analysis, the level of inference, and the level of communication or recommendation remain aligned.

Suggested Citation

  • Adam Szromek, 2026. "Cross-Level Inference Errors in Scientific Interpretation—From Ecological Correlation to the Control of Inference and Communication Levels," Publications, MDPI, vol. 14(3), pages 1-26, July.
  • Handle: RePEc:gam:jpubli:v:14:y:2026:i:3:p:41-:d:1986766
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