Definition: Generalizability refers to how applicable a study’s results are to broader groups of people, settings, or situations they study and how the findings relate to this wider context (Frey, 2018; Kukull & Ganguli, 2012).

Alternative definition: Applying modified materials and/or analysis pipelines to new data or samples to answer the same hypothesis (different materials, different data) to test how generalizable the effect under study is (The Turing Way Community & Scriberia, 2021).

Related terms: <a href='/glossary/conceptual-replication/'>Conceptual replication</a>, <a href='/glossary/external-validity/'>External Validity</a>, Opportunistic sampling, Sampling bias, <a href='/glossary/weird/'>WEIRD</a>

Related term to alternative definition: <a href=/glossary/conceptual-replication/>: Conceptual Replication</a>

References: Esterling et al. (2021), Frey (2018), Kukull and Ganguli (2012), LeBel et al. (2017), Nosek and Errington (2020), & Yarkoni (2020)

Drafted and Reviewed by: Aoife O’Mahony, Adrien Fillon, Matt Jaquiery, Tina Lonsdorf, Sam Parsons, Julia Wolska

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