Regression inside out:
Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emp...
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Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA
Cambridge University Press
2024
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Schriftenreihe: | Strategies for social inquiry
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Schlagworte: | |
Online-Zugang: | DE-12 DE-473 URL des Erstveröffentlichers |
Zusammenfassung: | Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data |
Beschreibung: | Title from publisher's bibliographic system (viewed on 21 Mar 2024) |
Beschreibung: | 1 Online-Ressource (xiv, 266 Seiten) Diagramme |
ISBN: | 9781108887205 |
DOI: | 10.1017/9781108887205 |
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spelling | Schoon, Eric Verfasser (DE-588)1191128229 aut Regression inside out Eric W. Schoon, The Ohio State University, David Melamed, The Ohio State University, Ronald L. Breiger, University of Arizona Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2024 1 Online-Ressource (xiv, 266 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Strategies for social inquiry Title from publisher's bibliographic system (viewed on 21 Mar 2024) Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data Regression analysis Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Computational social science (DE-588)1249405939 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 s Computational social science (DE-588)1249405939 s DE-604 Melamed, David Verfasser (DE-588)1158423861 aut Breiger, Ronald Verfasser (DE-588)1222599848 aut Erscheint auch als Druck-Ausgabe, Hardcover 978-1-108-84110-8 Erscheint auch als Druck-Ausgabe, Paperback 978-1-108-74488-1 https://doi.org/10.1017/9781108887205?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Schoon, Eric Melamed, David Breiger, Ronald Regression inside out Regression analysis Regressionsanalyse (DE-588)4129903-6 gnd Computational social science (DE-588)1249405939 gnd |
subject_GND | (DE-588)4129903-6 (DE-588)1249405939 |
title | Regression inside out |
title_auth | Regression inside out |
title_exact_search | Regression inside out |
title_full | Regression inside out Eric W. Schoon, The Ohio State University, David Melamed, The Ohio State University, Ronald L. Breiger, University of Arizona |
title_fullStr | Regression inside out Eric W. Schoon, The Ohio State University, David Melamed, The Ohio State University, Ronald L. Breiger, University of Arizona |
title_full_unstemmed | Regression inside out Eric W. Schoon, The Ohio State University, David Melamed, The Ohio State University, Ronald L. Breiger, University of Arizona |
title_short | Regression inside out |
title_sort | regression inside out |
topic | Regression analysis Regressionsanalyse (DE-588)4129903-6 gnd Computational social science (DE-588)1249405939 gnd |
topic_facet | Regression analysis Regressionsanalyse Computational social science |
url | https://doi.org/10.1017/9781108887205?locatt=mode:legacy |
work_keys_str_mv | AT schooneric regressioninsideout AT melameddavid regressioninsideout AT breigerronald regressioninsideout |