Causality and causal modelling in the social sciences: measuring variations
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
[Dordrecht]
Springer
2009
|
| Schriftenreihe: | Methodos series
5 |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017602588&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Online-Ressource u.d.T.: Causality and Causal Modelling in the Social Sciences |
| Umfang: | XIV, 235 S. graph. Darst. |
| ISBN: | 9781402088162 9781402088179 |
Internformat
MARC
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| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Demography | |
| 650 | 4 | |a Population | |
| 650 | 4 | |a Social sciences / Methodology | |
| 650 | 4 | |a Social sciences / Philosophy | |
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Social Sciences, general | |
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Datensatz im Suchindex
| _version_ | 1819330673259839488 |
|---|---|
| adam_text | Contents
Preface
............................................................ xiii
Introduction
....................................................... 1
1
Scope of the Book and Methodology
.......................... 1
2
Structure of the Book
....................................... 3
3
Philosophical Issues at the Back of One s Mind
................. 5
4
Philosophy at the Service of Social Research
................... 9
5
Open Problems: Causal Realism, Objectivity, and
Social Ontology
........................................... 11
1
What Do Social Scientists Do?
................................... 15
. 1
Different Causal Claims?
................................... 16
.2
Smoking and Lung Cancer
.................................. 20
.3
Mother s Education and Child Survival
........................ 21
.4
Health and Wealth
......................................... 23
.5
Farmers Migration
........................................ 24
.6
Job Satisfaction
........................................... 25
.7
Methodological and Epistemological Morals
................... 25
1.7.1
Statistical Causality in the Social Sciences
............. 26
1.7.2
Causal Claims in Causal Contexts
..................... 30
1.7.3
Testing Variations
.................................. 31
1.7.4
Modelling Mechanisms
............................. 32
2
Probabilistic Approaches
........................................ 35
2.1
Philosophical Accounts: Good and Suppes
..................... 36
2.1.1
Good
(1960-1961)................................. 36
2.1.2
Suppes
(1970)..................................... 40
2.1.3
Good and Suppes: Common Features
.................. 43
2.2
Probabilistic Theories: Traditional Criticisms
................... 44
2.2.1
Probabilistic Theories vs. Deterministic Theories
........ 44
2.2.2
Negative Causes and Twofold Causality
................ 46
2.3
Bringing Causal Theory to Maturity
.......................... 50
3
Methodology of Causal Modelling
................................ 53
3.1
Methods and Assumptions of Causal Modelling
................ 54
3.1.1
Path Models and Causal Diagrams
.................... 54
3.1.2
Covariance Structure Models
......................... 60
3.1.3
Granger-Causality
.................................. 61
3.1.4
Rubin s Model
..................................... 63
3.1.5
Multilevel Analysis
................................. 64
3.1.6
Contingency Tables
................................. 67
3.2
Hypothetico-Dcductivc Methodology
......................... 70
3.3
Difficulties and Weaknesses of Causal Modelling
............... 75
3.3.1
Background Knowledge and the Formulation of
Causal Hypotheses
................................. 76
3.3.2
Theorising or Modelling?
............................ 77
3.3.3
Lack of Theory
.................................... 78
3.3.4
Establishing Social Laws
............................ 79
3.3.5
Concepts and Indicators
............................. 80
3.3.6
Causal Directionality
............................... 83
3.3.7
Searching Causes of Effects or Effects of Causes?
....... 83
3.3.8
Undcrdetermination
................................ 84
3.3.9
Complexity of Causal Structures
...................... 85
3.3.10
Interpretation of Tests
............................... 86
3.3.11
Validity
........................................... 87
3.3.12
Gcneralisability
.................................... 90
4
Epistemology of Causal Modelling
................................ 91
4.1
The Rationale of Causality: Measuring Variations
............... 92
4.1.1
Methodological Arguments
.......................... 94
4.1.2
Foundations
....................................... 101
4.1.3
Arguments from the Philosophical Literature
........... 105
4.1.4
Objections, or Further Evidence for Variation
........... 107
4.2
Varieties of Variations
...................................... 114
4.3
What Guarantees the Causal Interpretation?
.................... 116
4.3.1
Associational Models
...............................117
4.3.2
Causal Models
.....................................119
5
Methodological Consequences: Objective Bayesianism
..............133
5.1
Probabilistic Causal Inferences
...............................134
5.2
Interpretations of Probability
................................135
5.2.1
Classical and Logical Interpretation
................... 135
5.2.2
Physical Interpretation: Frequentist and Propensity
...... 136
5.2.3
Bayesian
Interprétations
............................. 137
5.3
The Case for Frequency-Driven
Epistemic
Probabilities
.......... 139
5.3.1
Probability as a Twofold Concept
.....................140
5.3.2
Frequency-Driven
Epistemic
Probabilities
..............141
5.3.3
Credence-Driven Physical Probabilities
................145
5.3.4
Objections
........................................146
5.4
Objective Bayesianism in Causal Modelling
....................150
5.4.1
Empirically-Based vs. Objective Bayesianism
..........150
5.4.2
Design and Interpretation of Tests
.....................151
5.4.3
Guide for Action
...................................153
6
Methodological Consequences: Mechanisms and
Levels of Causation
.............................................155
6.1
Mechanisms
..............................................156
6.1.1
Modelling Mechanisms
.............................156
6.1.2
Mixed Mechanisms
.................................163
6.1.3
Explaining Through Mechanisms
.....................165
6.1.4
Modelling Causal Mechanisms vs. Modelling
Decision-Making Processes
..........................171
6.2
Levels of Causation
........................................172
6.2.1
Twofold Causality
..................................173
6.2.2
The Connecting Principle
............................179
6.3
Levels of Analysis
.........................................183
6.3.1
Types of Variables and of Fallacies
....................184
6.3.2
Levels of Analysis vs. Levels of Causation
.............186
6.3.3
Levels of Analysis
..................................187
6.3.4
Levels of Analysis and Variation in Multilevel Models
... 189
7
Supporting the Rationale of Variation
.............................193
7.1
Variation in Mechanist Approaches
...........................194
7.2
Variation in Counterfactuals
.................................197
7.3
Variation in Agency Theories
................................200
7.4
Variation in Manipulability Theories
..........................203
7.5
Variation in
Epistemic
Causality
.............................205
7.6
Variation in Single Instances
.................................207
Concluding Remarks
...............................................211
1
Objectives, Methodology, and Results
.........................211
2
The Methodological Import of Philosophical Results
............214
Bibliography
.......................................................217
Index
.............................................................231
|
| any_adam_object | 1 |
| author | Russo, Federica 1978- |
| author_GND | (DE-588)136609457 |
| author_facet | Russo, Federica 1978- |
| author_role | aut |
| author_sort | Russo, Federica 1978- |
| author_variant | f r fr |
| building | Verbundindex |
| bvnumber | BV035546615 |
| callnumber-first | H - Social Science |
| callnumber-label | H61 |
| callnumber-raw | H61 |
| callnumber-search | H61 |
| callnumber-sort | H 261 |
| callnumber-subject | H - Social Science |
| classification_rvk | CM 4000 QH 240 |
| ctrlnum | (OCoLC)298111411 (DE-599)DNB989082563 |
| dewey-full | 300.1 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.1 |
| dewey-search | 300.1 |
| dewey-sort | 3300.1 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie Psychologie Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV035546615 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T13:37:32Z |
| institution | BVB |
| isbn | 9781402088162 9781402088179 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017602588 |
| oclc_num | 298111411 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-945 DE-355 DE-BY-UBR DE-188 DE-384 |
| owner_facet | DE-19 DE-BY-UBM DE-945 DE-355 DE-BY-UBR DE-188 DE-384 |
| physical | XIV, 235 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series | Methodos series |
| series2 | Methodos series |
| spellingShingle | Russo, Federica 1978- Causality and causal modelling in the social sciences measuring variations Methodos series Philosophie Sozialwissenschaften Statistik Demography Population Social sciences / Methodology Social sciences / Philosophy Statistics Social Sciences, general Sozialwissenschaften (DE-588)4055916-6 gnd Kausalmodell (DE-588)4123496-0 gnd Statistik (DE-588)4056995-0 gnd Kausalität (DE-588)4030102-3 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4123496-0 (DE-588)4056995-0 (DE-588)4030102-3 |
| title | Causality and causal modelling in the social sciences measuring variations |
| title_auth | Causality and causal modelling in the social sciences measuring variations |
| title_exact_search | Causality and causal modelling in the social sciences measuring variations |
| title_full | Causality and causal modelling in the social sciences measuring variations Federica Russo |
| title_fullStr | Causality and causal modelling in the social sciences measuring variations Federica Russo |
| title_full_unstemmed | Causality and causal modelling in the social sciences measuring variations Federica Russo |
| title_short | Causality and causal modelling in the social sciences |
| title_sort | causality and causal modelling in the social sciences measuring variations |
| title_sub | measuring variations |
| topic | Philosophie Sozialwissenschaften Statistik Demography Population Social sciences / Methodology Social sciences / Philosophy Statistics Social Sciences, general Sozialwissenschaften (DE-588)4055916-6 gnd Kausalmodell (DE-588)4123496-0 gnd Statistik (DE-588)4056995-0 gnd Kausalität (DE-588)4030102-3 gnd |
| topic_facet | Philosophie Sozialwissenschaften Statistik Demography Population Social sciences / Methodology Social sciences / Philosophy Statistics Social Sciences, general Kausalmodell Kausalität |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017602588&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV022199573 |
| work_keys_str_mv | AT russofederica causalityandcausalmodellinginthesocialsciencesmeasuringvariations |