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Journal of Travel Research· 2026Q1

Causality: Effects-of-Causes, Causes-of-Effects, and Question-Design Fit

Seyyed Mostafa Rasoolimanesh, Weng Marc Lim

Short summary

This paper distinguishes between 'effects-of-causes' (what happens when a condition changes) and 'causes-of-effects' (why an outcome occurred), arguing that conflating them limits methodological choices in tourism research.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Distinguishes 'effects-of-causes' from 'causes-of-effects' questions.
  • Conflating these question types narrows methodological options in tourism research.
  • Recognizing the difference expands the range of empirical strategies for causal investigation.
  • Defensible causal claims require theory, assumptions, and careful wording, not just method labels.

AI-generated from the title and abstract; the full text is not read.

Abstract

Causal claims sit at the center of many fields of inquiry, including tourism research, yet causal questions do not all ask the same thing. One class of questions asks what happens when a researcher, manager, or policymaker changes a condition ( effects-of-causes ). Another asks why an observed outcome arose in the first place ( causes-of-effects ). Drawing on causal inference scholarship, this letter distinguishes effects-of-causes from causes-of-effects and argues that conflating them narrows methodological choice and encourages claims that outrun design. Recognizing this distinction widens the methodological landscape of tourism research and allows scholars to employ diverse empirical strategies to investigate causal relationships. The letter sets boundaries around those alternatives by clarifying that no method becomes causal merely through its label and that defensible causal claims still require theory, explicit assumptions, and careful wording. Overall, greater precision about causal questions can strengthen theoretical contribution, sharpen empirical claims, and substantiate practical relevance.

The authors' abstract, as published at the source. Journal of Travel Research, 2026 · DOI ↗

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Field: Statistics and Probability

Statistics and ProbabilityMathematics