Investigating lived ostracism: valid causal inference requires articulating the causal estimand

The field of ostracism research is witnessing a growing interest in understanding ostracism - being excluded and ignored - as a lived experience outside of the laboratory context. How do researchers draw valid causal conclusions about naturally occurring experiences of ostracism without relying on experimental designs? In this article, we draw on insights from the well-established causal inference framework to emphasize a critical step for strengthening causal rigor: stating the causal estimand. Using an intuitive example, we illustrate what a causal estimand is, how to define it, and why it matters. With this article, we encourage readers to think clearly about causal estimands before conducting any data analysis. This conceptual step holds the potential for enhancing the rigor and precision of research studying ostracism as a naturally occurring phenomenon.

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Publication Details

Journal
The Journal of Social Psychology
Published
2025-10-22
DOI
https://doi.org/10.1080/00224545.2025.2572657
Citations
4
Primary Topic
Death Anxiety and Social Exclusion
Type
article
Field-Weighted Citation Impact
9.75
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article

Investigating lived ostracism: valid causal inference requires articulating the causal estimand

Olga Stavrova, Wen Wei Loh, Dongning Ren, Eric van Dijk et al.
4 citations
The Journal of Social Psychology
Death Anxiety and Social Exclusion
9.75
article

Investigating lived ostracism: valid causal inference requires articulating the causal estimand

Olga Stavrova, Wen Wei Loh, Dongning Ren, Eric van Dijk, Ilja van Beest
article en
4 citations

Abstract

The field of ostracism research is witnessing a growing interest in understanding ostracism - being excluded and ignored - as a lived experience outside of the laboratory context. How do researchers draw valid causal conclusions about naturally occurring experiences of ostracism without relying on experimental designs? In this article, we draw on insights from the well-established causal inference framework to emphasize a critical step for strengthening causal rigor: stating the causal estimand. Using an intuitive example, we illustrate what a causal estimand is, how to define it, and why it matters. With this article, we encourage readers to think clearly about causal estimands before conducting any data analysis. This conceptual step holds the potential for enhancing the rigor and precision of research studying ostracism as a naturally occurring phenomenon.

The Journal of Social PsychologyVol. 166(1)
Leiden University (NL), Tilburg University (NL), Maastricht University (NL), University of Lübeck (DE)
Openalex Percentile: Top 2%
Death Anxiety and Social Exclusion
9.75
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Investigating lived ostracism: valid causal inference requires articulating the causal estimand — Olga Stavrova, Wen Wei Loh, et al. · The Journal of Social Psychology (2025) | TGRS Research Map | TGRS