Alrik Thiem
Biographic Data
| ID | 134104 |
|---|---|
| NAME | Alrik Thiem |
| GIVEN NAMES | Alrik |
| FAMILY NAME | Thiem |
| SIGNATURE | THIEM A |
| AFFILIATIONS | University of Geneva |
| ORCID | 0000-0002-4769-2185 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 281 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 10 |
Cora
Modern Configurational Comparative Methods (CCMs), such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have gained in popularity among social scientists over the last thirty years. A new CCM called Combinational Regularity Analysis (CORA) has recently joined this family of methods. In this article, we provide a software tutorial for the open-source package CORA , which implements the eponymous method. In particular, we …
Fewer Procedures, More Reflection
We thank Adrian Dus ̧a and Axel Marx for their comment on our evaluation of Marx and Dus ̧a (2011; hereafter MD).We believe that such exchanges are indispensable for developing a full understanding of many procedures in qualitative comparative analysis (QCA) that have for too long remained entirely unquestioned.We welcome this exchange, but we will also demonstrate in our rejoinder why Dus ̧a and Marx's comment once more underlines the urgent nee…
Case-to-factor Ratios and Model Specification in Qualitative Comparative Analysis
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is believed to fail in recognizing real data. To reduce that risk, some authors have proposed benchmark tables…
Beyond the Facts
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal for causal discovery, both solution types frequently committed causal fallacies by presenting inferen…
The Logic and Methodology of 'Necessary but Not Sufficient Causality
Necessary condition analysis (NCA) has recently been proposed to researchers in business, management, organization, psychology, sociology, and even medicine as a new data analysis tool for identifying necessary but insufficient causes of an outcome. In this comment, I demonstrate that NCA is inadequate for performing such inferences. The reason is a mismatch between the method's purported search target and its actual output. Moreover, I show that…
Linkages between agricultural policies, productivity and environmental sustainability
Often Trusted but Never (Properly) Tested
To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations with artificial data are unsuited for assessing QCA. We take issue with either position in this impasse.…
Model Ambiguities in Configurational Comparative Research
For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal models fare equally well in accounting for configurational data. Mainly due to the uncritical import of…
Conducting Configurational Comparative Research With Qualitative Comparative Analysis
The search for necessary and sufficient causes of some outcome of interest, referred to as configurational comparative research, has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently elaborate for this purpose. In this article, I provide a hands-on tutorial for qualitative comparative analysis (QCA)—c…
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 …
Standards of Good Practice and the Methodology of Necessary Conditions in Qualitative Comparative Analysis
The analysis of necessary conditions for some outcome of interest has long been one of the main preoccupations of scholars in all disciplines of the social sciences. In this connection, the introduction of Qualitative Comparative Analysis (QCA) in the late 1980s has revolutionized the way research on necessary conditions has been carried out. Standards of good practice for QCA have long demanded that the results of preceding tests for necessity c…
Back to Square One
We thank the editors of Comparative Political Studies for having invited us to join this symposium. Rather than addressing separate points made by Munck, Paine, and Schneider, we focus on two related problems that unite their pieces, that are of high relevance beyond this symposium, and that we have addressed only indirectly in our original article. The first problem concerns the over-inflation of the Boolean concept of necessity in Qualitative C…
Still Lost in Translation! A Correction of Three Misunderstandings Between Configurational Comparativists and Regressional Analysts
Even after a quarter-century of debate in political science and sociology, representatives of configurational comparative methods (CCMs) and those of regressional analytic methods (RAMs) continue talking at cross purposes. In this article, we clear up three fundamental misunderstandings that have been widespread within and between the two communities, namely that (a) CCMs and RAMs use the same logic of inference, (b) the same hypotheses can be as…
Modeling Causal Irrelevance in Evaluations of Configurational Comparative Methods
In volume 44 of Sociological Methodology, Lucas and Szatrowski argued that the method of qualitative comparative analysis (QCA) suffers from a built-in confirmation bias due to a proclivity for including conditions in its output models whose corresponding factors are not systematically correlated with the endogenous factor. The authors therefore urged that QCA be abandoned. With this comment, we pursue four related objectives: first, we explain w…
Designing research in the social sciences
Designing larger research projects in the social sciences is a trade which all scholars have to learn in their early career stages, usually during the phase of writing a PhD thesis. Any advice that
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 …
Using Qualitative Comparative Analysis for Identifying Causal Chains in Configurational Data
In a recent contribution to Sociological Methods & Research, Baumgartner and Epple (B&E) employ Coincidence Analysis (CNA) to explain the outcome of the vote on the Swiss minaret initiative of 2009. Although the authors also present a substantive argument, their principal objective is to prove the superiority of CNA over Qualitative Comparative Analysis (QCA) due to the former's capability of identifying causal chains in configurational data with…
Unifying Configurational Comparative Methods
Crisp-set Qualitative Comparative Analysis, fuzzy-set Qualitative Comparative Analysis (fsQCA), and multi-value Qualitative Comparative Analysis (mvQCA) have emerged as distinct variants of QCA, with the latter still being regarded as a technique of doubtful set-theoretic status. Textbooks on configurational comparative methods have emphasized differences rather than commonalities between these variants. This article has two consecutive objective…
Qualitative Comparative Analysis with R
Membership function sensitivity of descriptive statistics in fuzzy-set relations
Fuzzy-set theory has provided researchers with a new perspective on many social-scientific problems. In particular, the method of fuzzy-set Qualitative Comparative Analysis (fsQCA) has gained in popularity across various disciplines. However, while the methodological development of fsQCA has progressed on a number of fronts, sensitivity diagnostics have only recently been put on the agenda. This article analyses how coverage as an important descr…
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…
Clearly Crisp, and Not Fuzzy
In a recent contribution to this journal, Vink and van Vliet seek to raise researchers' awareness of the potentials and pitfalls of multi-value Qualitative Comparative Analysis (MvQCA). The authors are unconvinced by the technique's distinctness from the more established crisp-set QCA (csQCA) and fuzzy-set QCA (fsQCA) variants and question its added value to configurational comparative methodology on five points. This article demonstrates why non…
Conditions of intergovernmental armaments cooperation in Western Europe, 1996–2006
Defence cooperation between Western European countries has increased considerably since the end of the Cold War. An analytical distinction can be made between political and economic cooperation, the latter having been neglected by political scientists. This study advances the debate on economic cooperation by identifying sources of variation in the European Union (EU)-15 countries’ membership rate in cooperative armaments fora aimed at restructur…
Still Lost in Translation! A Correction of Three Misunderstandings Between Configurational Comparativists and Regressional Analysts
Even after a quarter-century of debate in political science and sociology, representatives of configurational comparative methods (CCMs) and those of regressional analytic methods (RAMs) continue talking at cross purposes. In this article, we clear up three fundamental misunderstandings that have been widespread within and between the two communities, namely that (a) CCMs and RAMs use the same logic of inference, (b) the same hypotheses can be as…
Model Ambiguities in Configurational Comparative Research
For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal models fare equally well in accounting for configurational data. Mainly due to the uncritical import of…
Often Trusted but Never (Properly) Tested
To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations with artificial data are unsuited for assessing QCA. We take issue with either position in this impasse.…
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…
Standards of Good Practice and the Methodology of Necessary Conditions in Qualitative Comparative Analysis
The analysis of necessary conditions for some outcome of interest has long been one of the main preoccupations of scholars in all disciplines of the social sciences. In this connection, the introduction of Qualitative Comparative Analysis (QCA) in the late 1980s has revolutionized the way research on necessary conditions has been carried out. Standards of good practice for QCA have long demanded that the results of preceding tests for necessity c…
Unifying Configurational Comparative Methods
Crisp-set Qualitative Comparative Analysis, fuzzy-set Qualitative Comparative Analysis (fsQCA), and multi-value Qualitative Comparative Analysis (mvQCA) have emerged as distinct variants of QCA, with the latter still being regarded as a technique of doubtful set-theoretic status. Textbooks on configurational comparative methods have emphasized differences rather than commonalities between these variants. This article has two consecutive objective…
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 …
Conducting Configurational Comparative Research With Qualitative Comparative Analysis
The search for necessary and sufficient causes of some outcome of interest, referred to as configurational comparative research, has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently elaborate for this purpose. In this article, I provide a hands-on tutorial for qualitative comparative analysis (QCA)—c…
Back to Square One
We thank the editors of Comparative Political Studies for having invited us to join this symposium. Rather than addressing separate points made by Munck, Paine, and Schneider, we focus on two related problems that unite their pieces, that are of high relevance beyond this symposium, and that we have addressed only indirectly in our original article. The first problem concerns the over-inflation of the Boolean concept of necessity in Qualitative C…
Modeling Causal Irrelevance in Evaluations of Configurational Comparative Methods
In volume 44 of Sociological Methodology, Lucas and Szatrowski argued that the method of qualitative comparative analysis (QCA) suffers from a built-in confirmation bias due to a proclivity for including conditions in its output models whose corresponding factors are not systematically correlated with the endogenous factor. The authors therefore urged that QCA be abandoned. With this comment, we pursue four related objectives: first, we explain w…
Beyond the Facts
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal for causal discovery, both solution types frequently committed causal fallacies by presenting inferen…
Clearly Crisp, and Not Fuzzy
In a recent contribution to this journal, Vink and van Vliet seek to raise researchers' awareness of the potentials and pitfalls of multi-value Qualitative Comparative Analysis (MvQCA). The authors are unconvinced by the technique's distinctness from the more established crisp-set QCA (csQCA) and fuzzy-set QCA (fsQCA) variants and question its added value to configurational comparative methodology on five points. This article demonstrates why non…
Using Qualitative Comparative Analysis for Identifying Causal Chains in Configurational Data
In a recent contribution to Sociological Methods & Research, Baumgartner and Epple (B&E) employ Coincidence Analysis (CNA) to explain the outcome of the vote on the Swiss minaret initiative of 2009. Although the authors also present a substantive argument, their principal objective is to prove the superiority of CNA over Qualitative Comparative Analysis (QCA) due to the former's capability of identifying causal chains in configurational data with…
Membership function sensitivity of descriptive statistics in fuzzy-set relations
Fuzzy-set theory has provided researchers with a new perspective on many social-scientific problems. In particular, the method of fuzzy-set Qualitative Comparative Analysis (fsQCA) has gained in popularity across various disciplines. However, while the methodological development of fsQCA has progressed on a number of fronts, sensitivity diagnostics have only recently been put on the agenda. This article analyses how coverage as an important descr…
Case-to-factor Ratios and Model Specification in Qualitative Comparative Analysis
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is believed to fail in recognizing real data. To reduce that risk, some authors have proposed benchmark tables…
Conditions of intergovernmental armaments cooperation in Western Europe, 1996–2006
Defence cooperation between Western European countries has increased considerably since the end of the Cold War. An analytical distinction can be made between political and economic cooperation, the latter having been neglected by political scientists. This study advances the debate on economic cooperation by identifying sources of variation in the European Union (EU)-15 countries’ membership rate in cooperative armaments fora aimed at restructur…
Fewer Procedures, More Reflection
We thank Adrian Dus ̧a and Axel Marx for their comment on our evaluation of Marx and Dus ̧a (2011; hereafter MD).We believe that such exchanges are indispensable for developing a full understanding of many procedures in qualitative comparative analysis (QCA) that have for too long remained entirely unquestioned.We welcome this exchange, but we will also demonstrate in our rejoinder why Dus ̧a and Marx's comment once more underlines the urgent nee…
Conditions of intergovernmental armaments cooperation in Western Europe, 1996–2006
Defence cooperation between Western European countries has increased considerably since the end of the Cold War. An analytical distinction can be made between political and economic cooperation, the latter having been neglected by political scientists. This study advances the debate on economic cooperation by identifying sources of variation in the European Union (EU)-15 countries’ membership rate in cooperative armaments fora aimed at restructur…
Qualitative Comparative Analysis with R
Membership function sensitivity of descriptive statistics in fuzzy-set relations
Fuzzy-set theory has provided researchers with a new perspective on many social-scientific problems. In particular, the method of fuzzy-set Qualitative Comparative Analysis (fsQCA) has gained in popularity across various disciplines. However, while the methodological development of fsQCA has progressed on a number of fronts, sensitivity diagnostics have only recently been put on the agenda. This article analyses how coverage as an important descr…
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…
Clearly Crisp, and Not Fuzzy
In a recent contribution to this journal, Vink and van Vliet seek to raise researchers' awareness of the potentials and pitfalls of multi-value Qualitative Comparative Analysis (MvQCA). The authors are unconvinced by the technique's distinctness from the more established crisp-set QCA (csQCA) and fuzzy-set QCA (fsQCA) variants and question its added value to configurational comparative methodology on five points. This article demonstrates why non…
Unifying Configurational Comparative Methods
Crisp-set Qualitative Comparative Analysis, fuzzy-set Qualitative Comparative Analysis (fsQCA), and multi-value Qualitative Comparative Analysis (mvQCA) have emerged as distinct variants of QCA, with the latter still being regarded as a technique of doubtful set-theoretic status. Textbooks on configurational comparative methods have emphasized differences rather than commonalities between these variants. This article has two consecutive objective…
Designing research in the social sciences
Designing larger research projects in the social sciences is a trade which all scholars have to learn in their early career stages, usually during the phase of writing a PhD thesis. Any advice that
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 …
Using Qualitative Comparative Analysis for Identifying Causal Chains in Configurational Data
In a recent contribution to Sociological Methods & Research, Baumgartner and Epple (B&E) employ Coincidence Analysis (CNA) to explain the outcome of the vote on the Swiss minaret initiative of 2009. Although the authors also present a substantive argument, their principal objective is to prove the superiority of CNA over Qualitative Comparative Analysis (QCA) due to the former's capability of identifying causal chains in configurational data with…
Conducting Configurational Comparative Research With Qualitative Comparative Analysis
The search for necessary and sufficient causes of some outcome of interest, referred to as configurational comparative research, has long been one of the main preoccupations of evaluation scholars and practitioners. However, only the last three decades have witnessed the evolution of a set of formal methods that are sufficiently elaborate for this purpose. In this article, I provide a hands-on tutorial for qualitative comparative analysis (QCA)—c…
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 …
Standards of Good Practice and the Methodology of Necessary Conditions in Qualitative Comparative Analysis
The analysis of necessary conditions for some outcome of interest has long been one of the main preoccupations of scholars in all disciplines of the social sciences. In this connection, the introduction of Qualitative Comparative Analysis (QCA) in the late 1980s has revolutionized the way research on necessary conditions has been carried out. Standards of good practice for QCA have long demanded that the results of preceding tests for necessity c…
Back to Square One
We thank the editors of Comparative Political Studies for having invited us to join this symposium. Rather than addressing separate points made by Munck, Paine, and Schneider, we focus on two related problems that unite their pieces, that are of high relevance beyond this symposium, and that we have addressed only indirectly in our original article. The first problem concerns the over-inflation of the Boolean concept of necessity in Qualitative C…
Still Lost in Translation! A Correction of Three Misunderstandings Between Configurational Comparativists and Regressional Analysts
Even after a quarter-century of debate in political science and sociology, representatives of configurational comparative methods (CCMs) and those of regressional analytic methods (RAMs) continue talking at cross purposes. In this article, we clear up three fundamental misunderstandings that have been widespread within and between the two communities, namely that (a) CCMs and RAMs use the same logic of inference, (b) the same hypotheses can be as…
Modeling Causal Irrelevance in Evaluations of Configurational Comparative Methods
In volume 44 of Sociological Methodology, Lucas and Szatrowski argued that the method of qualitative comparative analysis (QCA) suffers from a built-in confirmation bias due to a proclivity for including conditions in its output models whose corresponding factors are not systematically correlated with the endogenous factor. The authors therefore urged that QCA be abandoned. With this comment, we pursue four related objectives: first, we explain w…
Model Ambiguities in Configurational Comparative Research
For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal models fare equally well in accounting for configurational data. Mainly due to the uncritical import of…
Linkages between agricultural policies, productivity and environmental sustainability
Often Trusted but Never (Properly) Tested
To date, hundreds of researchers have employed the method of Qualitative Comparative Analysis (QCA) for the purpose of causal inference. In a recent series of simulation studies, however, several authors have questioned the correctness of QCA in this connection. Some prominent representatives of the method have replied in turn that simulations with artificial data are unsuited for assessing QCA. We take issue with either position in this impasse.…
The Logic and Methodology of 'Necessary but Not Sufficient Causality
Necessary condition analysis (NCA) has recently been proposed to researchers in business, management, organization, psychology, sociology, and even medicine as a new data analysis tool for identifying necessary but insufficient causes of an outcome. In this comment, I demonstrate that NCA is inadequate for performing such inferences. The reason is a mismatch between the method's purported search target and its actual output. Moreover, I show that…
Beyond the Facts
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal for causal discovery, both solution types frequently committed causal fallacies by presenting inferen…
Cora
Modern Configurational Comparative Methods (CCMs), such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have gained in popularity among social scientists over the last thirty years. A new CCM called Combinational Regularity Analysis (CORA) has recently joined this family of methods. In this article, we provide a software tutorial for the open-source package CORA , which implements the eponymous method. In particular, we …
Fewer Procedures, More Reflection
We thank Adrian Dus ̧a and Axel Marx for their comment on our evaluation of Marx and Dus ̧a (2011; hereafter MD).We believe that such exchanges are indispensable for developing a full understanding of many procedures in qualitative comparative analysis (QCA) that have for too long remained entirely unquestioned.We welcome this exchange, but we will also demonstrate in our rejoinder why Dus ̧a and Marx's comment once more underlines the urgent nee…
Case-to-factor Ratios and Model Specification in Qualitative Comparative Analysis
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is believed to fail in recognizing real data. To reduce that risk, some authors have proposed benchmark tables…
Computer Science (20 works) · Qualitative Comparative Analysis Research (20 works) · Mathematics (18 works) · Qualitative comparative analysis (17 works) · Machine learning (13 works) · Sociology (11 works) · Econometrics (8 works) · Economics (8 works) · Epistemology (8 works) · Statistics (7 works)