Adrian Dușa
Biographic Data
| ID | 208432 |
|---|---|
| NAME | Adrian Dușa |
| GIVEN NAMES | Adrian |
| FAMILY NAME | Dușa |
| SIGNATURE | DUȘA A |
| AFFILIATIONS | University of Bucharest |
| ORCID | 0000-0002-3525-9253 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 96 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 5 |
Critical Tension
The main objective of the qualitative comparative analysis is to find solutions that display sufficient configurations of causal conditions leading to the presence of an outcome. These solutions should be less complex than the original observed configurations, as parsimonious as possible, without sacrificing the sufficiency requirement. Sufficiency and parsimony are two requirements that act in opposition, and an optimal solution is one that acco…
QCA with R
Enhancing Sensitivity Diagnostics for Qualitative Comparative Analysis
Sensitivity diagnostics has recently been put high on the agenda of methodological research into Qualitative Comparative Analysis (QCA). Existing studies in this area rely on the technique of exhaustive enumeration, and the majority of works examine the reactivity of QCA either only to alterations in discretionary parameter values or only to data quality. In this article, we introduce the technique of combinatorial computation for evaluating the …
Enhancing the Minimization of Boolean and Multivalue Output Functions With e QMC
Configurational comparative methods have gained in popularity among sociologists and political scientists. In particular, Qualitative Comparative Analysis (QCA) has attracted considerable attention in recent years. The process of Boolean minimization by means of the Quine-McCluskey algorithm (QMC) is the central procedure in QCA, but QMC's exactitude renders it memory intensive and slow in processing complex output functions. In this article, we …
Qualitative Comparative Analysis with R
Boolean Minimization in Social Science Research
Besides an increase in the number of empirical applications, the widening landscape of tailored computer programs attests to the success of qualitative comparative analysis (QCA) as a social research method. Users now have the choice between three graphical user interface (GUI) and three command line interface (CLI) solutions. In addition to different functional foci, each program possesses several technical particularities, some of which the vas…
Crisp-Set Qualitative Comparative Analysis (csQCA), Contradictions and Consistency Benchmarks for Model Specification
The purpose of this paper is to address and test two assumptions on which csQCA is based, namely that csQCA will generate contradictions and low consistency scores if models are ill-specified. The first part of the paper introduces csQCA in general and as a stepwise approach. In a second part a real-life example is introduced with the purpose of illustrating how csQCA operates and as an input for a simulation in the subsequent part. The third par…
Creating data services in new democracies. Experiences from a case study and related neighbours
In Romania, as in other former communist countries, there has long been a deficit of information about social research and its data. In light of the growing need for high‐quality data, which are a pre‐condition for effective social policies, solutions to address the deficit are currently being sought both nationally and internationally. The article summarises the recent establishment of the Romanian Social Data Archive, which is supported by the …
Crisp-Set Qualitative Comparative Analysis (csQCA), Contradictions and Consistency Benchmarks for Model Specification
The purpose of this paper is to address and test two assumptions on which csQCA is based, namely that csQCA will generate contradictions and low consistency scores if models are ill-specified. The first part of the paper introduces csQCA in general and as a stepwise approach. In a second part a real-life example is introduced with the purpose of illustrating how csQCA operates and as an input for a simulation in the subsequent part. The third par…
Enhancing Sensitivity Diagnostics for Qualitative Comparative Analysis
Sensitivity diagnostics has recently been put high on the agenda of methodological research into Qualitative Comparative Analysis (QCA). Existing studies in this area rely on the technique of exhaustive enumeration, and the majority of works examine the reactivity of QCA either only to alterations in discretionary parameter values or only to data quality. In this article, we introduce the technique of combinatorial computation for evaluating the …
Boolean Minimization in Social Science Research
Besides an increase in the number of empirical applications, the widening landscape of tailored computer programs attests to the success of qualitative comparative analysis (QCA) as a social research method. Users now have the choice between three graphical user interface (GUI) and three command line interface (CLI) solutions. In addition to different functional foci, each program possesses several technical particularities, some of which the vas…
Enhancing the Minimization of Boolean and Multivalue Output Functions With e QMC
Configurational comparative methods have gained in popularity among sociologists and political scientists. In particular, Qualitative Comparative Analysis (QCA) has attracted considerable attention in recent years. The process of Boolean minimization by means of the Quine-McCluskey algorithm (QMC) is the central procedure in QCA, but QMC's exactitude renders it memory intensive and slow in processing complex output functions. In this article, we …
Critical Tension
The main objective of the qualitative comparative analysis is to find solutions that display sufficient configurations of causal conditions leading to the presence of an outcome. These solutions should be less complex than the original observed configurations, as parsimonious as possible, without sacrificing the sufficiency requirement. Sufficiency and parsimony are two requirements that act in opposition, and an optimal solution is one that acco…
Creating data services in new democracies. Experiences from a case study and related neighbours
In Romania, as in other former communist countries, there has long been a deficit of information about social research and its data. In light of the growing need for high‐quality data, which are a pre‐condition for effective social policies, solutions to address the deficit are currently being sought both nationally and internationally. The article summarises the recent establishment of the Romanian Social Data Archive, which is supported by the …
Crisp-Set Qualitative Comparative Analysis (csQCA), Contradictions and Consistency Benchmarks for Model Specification
The purpose of this paper is to address and test two assumptions on which csQCA is based, namely that csQCA will generate contradictions and low consistency scores if models are ill-specified. The first part of the paper introduces csQCA in general and as a stepwise approach. In a second part a real-life example is introduced with the purpose of illustrating how csQCA operates and as an input for a simulation in the subsequent part. The third par…
Qualitative Comparative Analysis with R
Boolean Minimization in Social Science Research
Besides an increase in the number of empirical applications, the widening landscape of tailored computer programs attests to the success of qualitative comparative analysis (QCA) as a social research method. Users now have the choice between three graphical user interface (GUI) and three command line interface (CLI) solutions. In addition to different functional foci, each program possesses several technical particularities, some of which the vas…
Enhancing the Minimization of Boolean and Multivalue Output Functions With e QMC
Configurational comparative methods have gained in popularity among sociologists and political scientists. In particular, Qualitative Comparative Analysis (QCA) has attracted considerable attention in recent years. The process of Boolean minimization by means of the Quine-McCluskey algorithm (QMC) is the central procedure in QCA, but QMC's exactitude renders it memory intensive and slow in processing complex output functions. In this article, we …
Enhancing Sensitivity Diagnostics for Qualitative Comparative Analysis
Sensitivity diagnostics has recently been put high on the agenda of methodological research into Qualitative Comparative Analysis (QCA). Existing studies in this area rely on the technique of exhaustive enumeration, and the majority of works examine the reactivity of QCA either only to alterations in discretionary parameter values or only to data quality. In this article, we introduce the technique of combinatorial computation for evaluating the …
QCA with R
Critical Tension
The main objective of the qualitative comparative analysis is to find solutions that display sufficient configurations of causal conditions leading to the presence of an outcome. These solutions should be less complex than the original observed configurations, as parsimonious as possible, without sacrificing the sufficiency requirement. Sufficiency and parsimony are two requirements that act in opposition, and an optimal solution is one that acco…
Computer Science (7 works) · Qualitative Comparative Analysis Research (7 works) · Mathematics (6 works) · Algorithm (4 works) · Qualitative comparative analysis (4 works) · Machine learning (3 works) · Programming language (3 works) · Data mining (2 works) · Data processing (2 works) · Econometrics (2 works)