ArticleCurrent directions in psychological science2026
Escaping the Jingle-Jangle Jungle: Increasing Conceptual Clarity in Psychology Using Large Language Models.
Article in Current directions in psychological science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Associations among anxiety sensitivity, intolerance of uncertainty, and experiential avoidance: Are these key processes underlying anxiety-related pathology adequately distinct from each other?Journal of anxiety disorders · 2026Article
- Assessing three altruism facets by economic games and self-report: a multitrait-multimethod investigation.Scientific reports · 2026Article
- A Conceptual Framework to Integrate Research Programs on Self-Regulation in Education.Educational psychology review · 2026Review
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Authors and funding
2 authors.
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Abstract
Psychology has long struggled with conceptual redundancy, particularly in the form of "jingle-jangle fallacies," in which different constructs share the same label or the same construct is described using different terms. This lack of conceptual clarity has hindered cumulative knowledge and comparability across studies and subfields. We propose that large language models can help address this issue by placing constructs into a shared semantic space, enabling the systematic mapping of conceptual overlap and clarification of taxonomies and generating clearer construct definitions. Although automation plays a crucial role, we argue that meaningful progress requires a coordinated, community-wide effort, combining computational advances with expert deliberation. Our approach provides a pathway toward greater conceptual clarity in psychology, fostering a more unified and rigorous framework for the discipline.
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