Generalization in quantitative and qualitative research: myths and strategies.

By D. Polit, Cheryl Tatano Beck. International Journal of Nursing Studies, 2010

1,818 citations recorded by the source corpus.

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Applying a mixed method of quantitative and qualitative design in explaining the travel motivation of film tourists in visiting a film-shooting destination (2015, methodology): “Hence, integrating both qualitative and quantitative research into one study as a mixed method provides better insights into a phenomenon (Forman, Creswell, Damschroder, Kowalski, & Krein, 2008; Jacobs, Kawanaka, & Stigler, 1999; Kajornboon, 2005; Malterud, 2001; Polit & Beck, 2010).”
Generalizability in qualitative research: misunderstandings, opportunities and recommendations for the sport and exercise sciences (2018, background): “Whilst the ‘statistical generalizability model is almost never fully realised, even though the research community usually acts as though it is’ (Polit and Beck 2010, p. 1457), that type of generalisation is normally sought through statistical sampling procedures and has two functions: (1) it allows…”
A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario (2017, background): “Specifically, studies with humans as subjects are less likely to involve random samples (Polit & Beck, 2010).”
Reflection in Learning (2019, methodology): “It is part of the inductive analysis process (Polit & Beck, 2010).”