External Validity and Evidence Accumulation (Elements in Quantitative and Computational Methods for the Social Sciences). Questo articolo non è disponibile.
Lingua: inglese
Editore: Cambridge University Press, 2025
Serie: Libro 16 di 16 - Elements in Quantitative and Computational Methods for the Social Sciences
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Codice articolo 394660610
- Titolo
- External Validity and Evidence Accumulation (Elements in Quantitative and Computational Methods for the Social Sciences)
- Autore
- Slough, Tara; Tyson, Scott A.
- Editore
- Cambridge University Press
- Anno di pubblicazione
- 2025
- Condizione
- New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 1009486039
- ISBN 13
- 9781009486033
- Serie
- Libro 16 di 16: Elements in Quantitative and Computational Methods for the Social Sciences
The accumulation of empirical evidence that has been collected in multiple contexts, places, and times requires a more comprehensive understanding of empirical research than is typically required for interpreting the findings from individual studies. We advance a novel conceptual framework where causal mechanisms are central to characterizing social phenomena that transcend context, place, or time. We distinguish various concepts of external validity, all of which characterize the relationship between the effects produced by mechanisms in different settings. Approaches to evidence accumulation require careful consideration of cross-study features, including theoretical considerations that link constituent studies and measurement considerations about how phenomena are quantifed. Our main theoretical contribution is developing uniting principles that constitute the qualitative and quantitative assumptions that form the basis for a quantitative relationship between constituent studies. We then apply our framework to three approaches to studying general social phenomena: meta-analysis, replication, and extrapolation.
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Informazioni sull’autore
The accumulation of empirical evidence that has been collected in multiple contexts, places, and times requires a more comprehensive understanding of empirical research than is typically required for interpreting the findings from individual studies. We advance a novel conceptual framework where causal mechanisms are central to characterizing social phenomena that transcend context, place, or time. We distinguish various concepts of external validity, all of which characterize the relationship between the effects produced by mechanisms in different settings. Approaches to evidence accumulation require careful consideration of cross-study features, including theoretical considerations that link constituent studies and measurement considerations about how phenomena are quantifed. Our main theoretical contribution is developing uniting principles that constitute the qualitative and quantitative assumptions that form the basis for a quantitative relationship between constituent studies. We then apply our framework to three approaches to studying general social phenomena: meta-analysis, replication, and extrapolation.
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