Causation, evidence, and inference:
"In this book, Reiss argues in favour of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistic...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York ; London
Routledge, Taylor & Francis Group
2015
|
| Schriftenreihe: | Routledge studies in the philosophy of science
15 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "In this book, Reiss argues in favour of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences"... |
| Beschreibung: | Includes bibliographical references (pages 241-252) and index |
| Beschreibung: | x, 258 pages 24 cm |
| ISBN: | 9780415394222 |
Internformat
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| 490 | 1 | |a Routledge studies in the philosophy of science |v 15 | |
| 500 | |a Includes bibliographical references (pages 241-252) and index | ||
| 520 | |a "In this book, Reiss argues in favour of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences"... | ||
| 650 | 7 | |a PHILOSOPHY / General |2 bisacsh | |
| 650 | 4 | |a Causation | |
| 650 | 4 | |a Inference | |
| 650 | 4 | |a Evidence | |
| 650 | 4 | |a PHILOSOPHY / General | |
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Datensatz im Suchindex
| _version_ | 1804176516046651392 |
|---|---|
| adam_text | Contents
Foreword ix
1 Causation in a Complex World 1
PARTI
Evidence
2 What s Wrong with Our Theories of Evidence? 33
3 Evidence in Context 58
PART II
Singular Causation
4 Counterfactuals, Thought Experiments, and
Singular Causal Inference in History 79
5 Counterfactuals in the Social Sciences 91
6 Contrastive Causation 120
7 Singular Causation without Counterfactuals 148
PART in
Causal Laws
8 Time Series, Nonsense Correlations, and
the Principle of the Common Cause 165
viii Contents
9 Causal Laws in Biomedical and
Social Research: Evidence, Inference, and Purpose 180
PART IV: Semantics
10 Third Time’s a Charm: Causation, Science, and
Wittgensteinian Pluralism 203
11 Causation in the Biomedical and Social Sciences: An
Inferentialist Account 221
References 241
Index 253
|
| any_adam_object | 1 |
| author | Reiss, Julian |
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| dewey-hundreds | 100 - Philosophy & psychology |
| dewey-ones | 122 - Causation |
| dewey-raw | 122 |
| dewey-search | 122 |
| dewey-sort | 3122 |
| dewey-tens | 120 - Epistemology, causation, humankind |
| discipline | Philosophie |
| format | Book |
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| id | DE-604.BV043722763 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:33:25Z |
| institution | BVB |
| isbn | 9780415394222 |
| language | English |
| lccn | 014046903 |
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| physical | x, 258 pages 24 cm |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Routledge, Taylor & Francis Group |
| record_format | marc |
| series | Routledge studies in the philosophy of science |
| series2 | Routledge studies in the philosophy of science |
| spelling | Reiss, Julian Verfasser (DE-588)171876636 aut Causation, evidence, and inference by Julian Reiss New York ; London Routledge, Taylor & Francis Group 2015 x, 258 pages 24 cm txt rdacontent n rdamedia nc rdacarrier Routledge studies in the philosophy of science 15 Includes bibliographical references (pages 241-252) and index "In this book, Reiss argues in favour of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences"... PHILOSOPHY / General bisacsh Causation Inference Evidence PHILOSOPHY / General Erscheint auch als Online-Ausgabe 978-1-315-77160-1 Routledge studies in the philosophy of science 15 (DE-604)BV020863359 15 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029134804&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Reiss, Julian Causation, evidence, and inference Routledge studies in the philosophy of science PHILOSOPHY / General bisacsh Causation Inference Evidence PHILOSOPHY / General |
| title | Causation, evidence, and inference |
| title_auth | Causation, evidence, and inference |
| title_exact_search | Causation, evidence, and inference |
| title_full | Causation, evidence, and inference by Julian Reiss |
| title_fullStr | Causation, evidence, and inference by Julian Reiss |
| title_full_unstemmed | Causation, evidence, and inference by Julian Reiss |
| title_short | Causation, evidence, and inference |
| title_sort | causation evidence and inference |
| topic | PHILOSOPHY / General bisacsh Causation Inference Evidence PHILOSOPHY / General |
| topic_facet | PHILOSOPHY / General Causation Inference Evidence |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029134804&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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