Mixing Methods
A Bayesian Approach
Dados Bibliográficos
| ID | 3366366 |
|---|---|
| Autores | Michael Humphreys (0000-0001-7029-2326, Columbia University, autor correspondente), Macartan Humphreys, Alan M Jacobs (0000-0002-1008-2551, University of British Columbia, autor correspondente) |
| Ano | 2015 |
| Volume | 109 |
| Fascículo | 4 |
| Páginas | 653-673 |
| Data de publicação | 2015-11-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | American Political Science Review (JOURNAL) |
| Identificadores do periódico | ISSN: 0003-0554 • E-ISSN: 1537-5943 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0003055415000453 |
| OpenAlex | W2255458947 |
| Idioma | EN |
| Citações recebidas | 68 |
| Referências citadas | 44 |
We develop an approach to multimethod research that generates joint learning from quantitative and qualitative evidence. The framework-Bayesian integration of quantitative and qualitative data (BIQQ)-allows researchers to draw causal inferences from combinations of correlational (cross-case) and process-level (within-case) observations, given prior beliefs about causal effects, assignment propensities, and the informativeness of different kinds of causal-process evidence. In addition to posterior estimates of causal effects, the framework yields updating on the analytical assumptions underlying correlational analysis and process tracing. We illustrate the BIQQ approach with two applications to substantive issues that have received significant quantitative and qualitative treatment in political science: the origins of electoral systems and the causes of civil war. Finally, we demonstrate how the framework can yield guidance on multimethod research design, presenting results on the optimal combinations of qualitative and quantitative data collection under different research conditions
Bayesian inference · Bayesian probability · Causal inference · Cognitive psychology · Data science · Econometrics · Machine learning · Management science · Political science · Politics · Process (computing · Process tracing · Qualitative property · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Engineering · Mathematics · Political Conflict and Governance · Psychology · Qualitative Comparative Analysis Research
Conditionality & Coercion
Causality in Policy Studies
The Production of Knowledge
Can Economics Become More Reflexive? Exploring the Potential of Mixed-Methods
Focus Groups for the Social Science Researcher
Exploratory Research
Theory before method
How do social scientists reach causal inferences? A study of reception
Los métodos mixtos
We Have Big Data, But Do We Need Big Theory? Review-Based Remarks on an Emerging Problem in the Social Sciences
Multi-Method Research in the Social Sciences
Is Research Safe in the AI Revolution? LLMs Fall Short of Expert Benchmarks in Scientific Evidence Evaluation
Explaining through causal mechanisms
The Great Divides
Integrating the Quantitative Research on the Onset and Incidence of Violent Intrastate Conflicts
Contributions and Blind Spots of Constructivist Norms Research in International Relations, 1980–2018
Using process tracing to evaluate unique events
Process Tracing and Bayesian Updating for impact evaluation
Assessing causal inference problems with Bayesian process tracing
Mechanisms, Bayesianism, and process tracing
The Mechanistic Rewards of Data and Theory Integration for Theory-Based Evaluation
Three facets of causal inference
The Missing Links
The elusive quest for additionality
Archives and Inference
Evidential pluralism and evidence of mechanisms in the social sciences
Reconsidering the Rubber Stamp Thesis
Evidential Variety and Mixed-Methods Research in Social Science
Intégrer des résultats quantitatifs et qualitatifs en économie politique
Replicating the Resource Curse
Improving studies of sensitive topics using prior evidence
Analysing European Union decision-making during the Eurozone crisis with new data
Process tracing. Inducción, deducción e inferencia causal
What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research
Is Satisfaction with Democracy Higher After Transitional Justice Trials
Relationships Among Rivals (RAR)
Updating Bayesian(s)
Explicit Bayesian Analysis for Process Tracing
Geo-Nested Analysis
Research Cycles
A Dialogue with the Data
The Multi-Stage Mixed Methods Framework
Case Study Design and Analysis as a Complementary Empirical Strategy to Econometric Analysis in the Study of Public Agencies
The Diplomatic Presentation of the State in International Crises
Synthetic Experiences
Defending Hierarchy from the Moon to the Indian Ocean
Introduction
Founding Leaders and National Narratives
Public Good Provision and Traditional Governance in Indigenous Communities in Oaxaca, Mexico
Redistribution Under the Right in Latin America
Do Protestant Missionaries Undermine Political Authority? Evidence From Peru
Qualitative Methods
Transparent Social Inquiry
Qualitative Imputation of Missing Potential Outcomes
Process-Tracing Research Designs
Case Studies and Analytic Transparency in Causal-Oriented Mixed-Methods Research
Norm transformation and the institutionalization of targeted killing in the US
Troops or Tanks? Rethinking Coin mechanization and force employment
A Causal Mechanism of Policy Innovation
What drives violence against civilians in civil war? Evidence from Guatemala's conflict archives
Declaring and Diagnosing Research Designs
Secular Party Rule and Religious Violence in Pakistan
The Integration of Bayesian Regression Analysis and Bayesian Process Tracing in Mixed-Methods Research
Aligning Interviewing with Process Tracing
Concrete Counterfactual Tests for Process Tracing
Taking Causal Heterogeneity Seriously
Process Tracing and the Problem of Missing Data
A Set-Theoretic Approach to Bayesian Process Tracing
Sources Of Leverage In Causal Inference
Process Tracing And Causal Inference
Process-Tracing Methods
A Tale of Two Cultures
Race and Regionalism in the Politics of Taxation in Brazil and South Africa
Mandates and Democracy
Estimating causal effects of treatments in randomized and nonrandomized studies.
Rethinking Social Inquiry
Global Capital, Political Institutions, and Policy Change in Developed Welfare States
Case Studies and Causal Inference
Understanding Civil War (Volume 1
Greed and grievance in civil war
The Oxford Handbook of Political Methodology
Process Tracing
Going Where the Money Is
Global Capital, Political Institutions, and Policy Change in Developed Welfare States
Causality
Social science methodology
Elicited Priors for Bayesian Model Specifications in Political Science Research
Case Selection Techniques in Case Study Research
Quantitative Leverage Through Qualitative Knowledge
Why Process Matters for Causal Inference
Causal Process “Observation
How Do Natural Resources Influence Civil War? Evidence from Thirteen Cases
Using Qualitative Information to Improve Causal Inference
Understanding Process Tracing
The Promising Integration of Qualitative Methods and Field Experiments
Bayesian Inference for Comparative Research
Setting the Rules of the Game
Historical Knowledge and Quantitative Analysis
Nested Analysis as a Mixed-Method Strategy for Comparative Research
A Careful Look at Modern Case Selection Methods
The Logic of Process Tracing Tests in the Social Sciences
| Obras citantes distintas | 68 |
|---|---|
| Citações por ano | 6,8 |
| Intervalo de citações | 2016 - 2026 (11) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 68 |