{"product_id":"multiverse-analysis-computational-methods-for-robust-results-hardback-9781316518786","title":"Multiverse Analysis; Computational Methods for Robust Results (Hardback) 9781316518786","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMultiverse Analysis\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eComputational Methods for Robust Results\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThis book uses computational tools to improve the credibility and transparency of science.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eCristobal Young (Author), Erin Cumberworth (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781316518786, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 6 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e286 pages\u003cbr\u003e22.9 x 15.2 x 1.8 cm, 0.573 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e''The multiverse' is less of a method than a way of thinking about choices in coding, analysis, and reporting. This new book works through a range of social-science examples to demonstrate how to use the multiverse to be open about uncertainty as a way to guide research and understanding, instead of the traditional 'robustness study' whose goal is to shield fragile results from criticism.' Andrew Gelman, Department of Statistics and Department of Computer Science, Columbia University\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThere 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I. Introduction: 1. The Many Worlds of Analysis\u003cbr\u003e 2. The Multiverse as a Philosophy of Science\u003cbr\u003e Part II. The Computational Multiverse: 3. Hurricane Names: An Applied Introduction\u003cbr\u003e 4. The Multiverse Algorithm\u003cbr\u003e 5. Empirical Multiverses\u003cbr\u003e 6. Influence Analysis and Scope Conditions\u003cbr\u003e 7. Good and Bad Controls\u003cbr\u003e 8. Some Alternative Approaches\u003cbr\u003e Part III. Expanding the Multiverse: 9. Functional Form Robustness\u003cbr\u003e 10. Data Processing: Invisible Decisions that Matter\u003cbr\u003e 11. A Data-Processing Multiverse: Re-Analysis of Regnerus (2012) and Critics\u003cbr\u003e 12. Retractions in Social Science: Mis-Adventures in Data Processing\u003cbr\u003e 13. Weights in the Multiverse\u003cbr\u003e 14. Conclusion\u003cbr\u003e Appendix: Coding with MULTIVRS in Stata.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Social research \u0026amp; statistics [\u003ca title=\"See our other books on Social research \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Social%20research%20\u0026amp;%20statistics%20%5BJHBC%5D%22\"\u003eJHBC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52431044247832,"sku":"9781316518786","price":74.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781316518786i.jpg?v=1784769724","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/multiverse-analysis-computational-methods-for-robust-results-hardback-9781316518786","provider":"Freshly Printed Books","version":"1.0","type":"link"}