Multiverse Analysis Computational Methods for Robust Results
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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
05.02.2025
Verlag
Cambridge AcademicSeitenzahl
286
Maße (L/B/H)
23.5/15.7/2 cm
Gewicht
566 g
Sprache
Englisch
ISBN
978-1-316-51878-6
There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a 'garden of forking paths' where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss. It shows which modelling decisions are most critical to the results and reveals how data and assumptions work together to produce empirical estimates. Focusing on intuitive understanding rather than complex mathematics, and drawing on real-world datasets, this book provides a step-by-step guide to comprehensive multiverse analysis. Go beyond traditional, single-path methods and discover how multiverse analysis can lead to more transparent, illuminating, and persuasive empirical contributions to science.
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