In this paper, I survey and defend the use of quantitative methods in philosophy of language. Quantitative methods in philosophy of language include a wide variety of methods, ranging from model‐based techniques (computer simulations and mathematical models) to data‐driven approaches (experimental philosophy and corpus‐based studies). After offering a few case studies of these methodologies in action, I single out some debates in philosophy of language that are especially well served by their use. These are cases (...) in which quantitative methods increase precision, improve the accuracy and reliability of results, and allow philosophers of language to borrow from other fields the best epistemic practices available. I conclude with some far‐reaching considerations about the role of qualitative and quantitative methods in debates about philosophical methodology. (shrink)

The aim of the paper is to discuss the views, which approach the qualitative and quantitative methods in social sciences as either separable, or irreconcilable. First, the author gives an outline of those views and shows, how they deal with various aspects of the qualitative/quantitative divide. Next, he tries to identify the roots of that divide in the works of Herbert Blumer. Further, his analysis of the categories of quantity, quality, and measure is designed to show that (...) the divide in question is based on a wrong, one-sided understanding of the qualitative as well as quantitative approaches, which in fact can neither be separated nor conceived of as contradictory. (shrink)

Although the rapid growth of digital data and computationally advanced methods in the social sciences has in many ways exacerbated tensions between the so-called ‘quantitative’ and ‘qualitative’ approaches, it has also been provocatively argued that the ubiquity of digital data, particularly online data, finally allows for the reconciliation of these two opposing research traditions. Indeed, a growing number of ‘qualitatively’ inclined researchers are beginning to use computational techniques in more critical, reflexive and hermeneutic ways. However, many of these (...) claims for ‘quali-quantitative’ methods hinge on a single technique: the network graph. Networks are relational, allow for the questioning of rigid categories and zooming from individual cases to patterns at the aggregate. While not refuting the use of networks in these studies, this paper argues that there must be other ways of doing quali-quantitative methods. We first consider a phenomenon which falls between quantitative and qualitative traditions but remains elusive to network graphs: the spread of information on Twitter. Through a case study of debates about nuclear power on Twitter, we develop a novel data visualisation called the modulation sequencer which depicts the spread of URLs over time and retains many of the key features of networks identified above. Finally, we reflect on the role of such tools for the project of quali-quantitative methods. (shrink)

Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections. This 3-D information is invaluable in correlating structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is to be aware of potential sources of bias (...) and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative methods, such as those offered by stereology. Quantitative Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.Readership: Neuroscientists doing quantitative studies; Scientists involved in drug development; Pathologists. (shrink)

This theoretical paper explores the application of Hegelian inferentialism combined with contemporary quantitative methods to enhance decision-making in healthcare leadership. It proposes a novel conceptual framework that integrates Hegel’s inferentialism with Bayesian analysis and epistemic justice indices to offer a new approach for understanding complex decision processes in healthcare settings. The paper develops theoretical constructs such as the Decision Quality Index (DQI) and the Epistemic Justice Quotient (EJQ), which aim to quantitatively assess leadership effectiveness and ethical considerations in (...) decision-making processes. The discussion includes mathematical proofs for these proposed indices and examines the potential practical implications of this integrated approach, emphasizing its theoretical potential to improve healthcare leadership through more inclusive and evidence-based practices. This work provides a conceptual foundation for future empirical research in healthcare leadership and decision-making. (shrink)

Although pioneering studies using statistical methods in geographical data analysis were published in the 1930s, it was only in the 1960s that their increasing use in human geography led to a claim that a ‘quantitative revolution’ had taken place. The widespread use of quantitative methods from then on was associated with changes in both disciplinary philosophy and substantive focus. The first decades of the ‘revolution’ saw quantitative analyses focused on the search for spatial order of (...) a geometric form within an, often implicit, logical positivist framework. In the first of three reviews of the use of quantitative methods in human geography, this progress report uncovers their origin with regard to the underlying philosophy, the focus on spatial order, and the nature of the methods deployed. Subsequent reports will outline the changes in all three that occurred in later decades and will chart the contemporary situation. (shrink)

Although pioneering studies using statistical methods in geographical data analysis were published in the 1930s, it was only in the 1960s that their increasing use in human geography led to a claim that a ‘quantitative revolution’ had taken place. The widespread use of quantitative methods from then on was associated with changes in both disciplinary philosophy and substantive focus. The first decades of the ‘revolution’ saw quantitative analyses focused on the search for spatial order of (...) a geometric form within an, often implicit, logical positivist framework. In the first of three reviews of the use of quantitative methods in human geography, this progress report uncovers their origin with regard to the underlying philosophy, the focus on spatial order, and the nature of the methods deployed. Subsequent reports will outline the changes in all three that occurred in later decades and will chart the contemporary situation. (shrink)

Quantitative analysts or “Quants” are a source of competitive advantage for financial institutions. They occupy the relatively powerful but often misunderstood role of modeling, structuring, and pricing complex financial instruments in the capital markets. But Quants often function in a discipline free from ethical burdens. Models used to price complex instruments are usually beyond the mathematical understanding of financial sector participants who rely heavily on the integrity of the Quant who built them. Although there has been some attempt to (...) cover the ethics of mathematics applied to the capital markets, designing a set of rules to guide the ethical behavior of Quants cannot be made explicit and remains inexpressible. Because Quants generally experience a sense of detachment from moral obligation, there is a growing need to convert moral detachment into engagement. Our framework is indebted to key elements of Wittgenstein’s practical ethics philosophy and Rawls’ justice principle. The burden of balancing justice as fairness as defined by Rawls with the inability to explicitly articulate ethical rules as defined by Wittgenstein must fall to the Quant. We propose that the threshold delineating the barrier between ethical detachment and engagement can only be defined by the Quants themselves. It is their moral duty to disclose their level of ethical engagement when their models are put into practice. (shrink)

The Philosophy of Quantitative Methods undertakes a philosophical examination of a number of important quantitative research methods within the behavioral sciences in order to overcome the non-critical approaches typically provided by textbooks. These research methods are exploratory data analysis, statistical significance testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. Further readings are provided to extend the reader's overall understanding of these methods.

Corpus-driven Cognitive Semantics Introduction to the field Dylan Glynn Is quantitative empirical research possible for the study of semantics?1 More ...

Resumen: El objetivo de este trabajo es defender el uso tanto de métodos cualitativos como de métodos cuantitativos en investigación en filosofía del lenguaje. Concretamente, defenderé que la mejor opción para llevar a cabo este tipo de investigación es usar métodos propios de la lingüística de corpus, pero aplicando también métodos cualitativos. Para ello, argumentaré a favor de la idea de bucles virtuosos, procesos de retroalimentación entre ambos métodos que pueden producir ciertos hallazgos que serían imposibles de descubrir si solo (...) se usara uno de los dos tipos de método. Abstract: This paper aims to defend the use of both qualitative and quantitative methods in research in language philosophy. Specifically, I would argue that the best option for conducting this type of research is to use methods of corpus linguistics, but also applying qualitative methods. For this, I will argue in favor of the idea of virtuous loops, feedback processes between both methods that can produce findings that would be impossible to discover if only one of the two methods were used. (shrink)

Scientific realism has been advanced as an interpretation of the natural sciences but never the behavioral sciences. This book introduces a novel version of scientific realism, Measured Realism, that characterizes the kind of theoretical progress in the social and psychological sciences that is uneven but indisputable. It proposes a theory of measurement, Population-Guided Estimation, that connects natural, psychological, and social scientific inquiry. Presenting quantitative methods in the behavioral sciences as at once successful and regulated by the world, the (...) book will engage philosophers of science, historians of science, sociologists of science, and scientists interested in the foundations of their own disciplines. Part I introduces measured realism beginning with a novel realist theory of measurement (Population-Guided Estimation, or PGE). It examines two other versions of scientific realism — minimal (Hacking) and robust (Boyd, Putnam, and Newton-Smith) — and advances measured realism as best supported by the evidence in the behavioral sciences. It also critically evaluates the anti-realist arguments of van Fraassen, Laudan, and Fine. Part II formulates and develops a version of epistemological naturalism most appropriate to measured realism. Drawing upon the realist theory of measurement developed earlier, it favorably appraises a variety of statistical methods in the behavioral sciences against selected criticisms. It concludes that traditional, narrative methods in the behavioral and social sciences are unreliable by the measures of epistemological naturalism. (shrink)

In recent decades, the analysis of phraseology has made use of the exploration of large corpora as a source of quantitative information about language. This paper intends to present the main lines of work in progress based on this empirical approach to linguistic analysis. In particular, we focus our attention on some problems relating to the morpho-syntactic annotation of corpora. The CORIS/CODIS corpus of contemporary written Italian, developed at CILTA – University of Bologna (Rossini Favretti 2000; Rossini Favretti, Tamburini, (...) De Santis in press), is a synchronic 100-million-word corpus and is being lemmatised and annotated with part-of-speech (POS) tags, in order to increase the quantity of information and improve data retrieval procedures (Tamburini 2000). The aim of POS tagging is to assign each lexical unit to the appropriate word class. Usually the set of tags is pre-established by the linguist, who uses his/her competence to identify the different word classes. The very first experiments we made revealed how the traditional part-of-speech distinctions in Italian (generally based on morphological and semantic criteria) are often inadequate to represent the syntactic features of words in context. It is worth noting that the uncertainties in categorisation contained in Italian grammars and dictionaries reflect a growing difficulty as they move from fundamental linguistic classes, such as nouns and verbs, to more complex classes, such as adverbs, pronouns, prepositions and conjunctions. This latter class, that groups together elements traditionally used to express connections between sentences, appears inadequate when describing cohesive relations in Italian. This phenomenon actually seems to involve other elements traditionally assigned to different classes, such as adverbs, pronouns and interjections. Recent studies proposed the class of ‘connectives’, grouping all words that, apart from their traditional word class, have the function of connecting phrases and contributing to textual cohesion. From this point of view, conjunctions can be considered as part of phrasal connectives, that can in turn be included in the wider category of textual connectives. The aim of this study is to identify elements that can be included in the class of phrasal connectives, using quantitative methods. According to Shannon and Weaver’s (1949) observation that words are linked by dependent probabilities, corroborated by Halliday’s (1991) argument that the grammatical “system” (in Firth’s sense of the term) is essentially probabilistic, quantitative data are introduced in order to provide evidence of relative frequencies. Section 2 presents a description of word-class categorisation from the point of view of grammars and dictionaries arguing that the traditional category of conjunctions is inadequate for capturing the notion of phrasal connective. Section 3 examines the notion of ‘connective’ and suggests a truth-function interpretation of connective behaviour. Section 4 describes the quantitative methods proposed for analysing the distributional properties of lexical units, and section 5 comments on the results obtained by applying such methods drawing some provisional conclusions. (shrink)

RNA binding proteins (RBPs) are key factors for the regulation of gene expression by binding to cis elements, i.e. short sequence motifs in RNAs. Recent studies demonstrate that cooperative binding of multiple RBPs is important for the sequence‐specific recognition of RNA and thereby enables the regulation of diverse biological activities by a limited set of RBPs. Cross‐linking immuno‐precipitation (CLIP) and other recently developed high‐throughput methods provide comprehensive, genome‐wide maps of protein‐RNA interactions in the cell. Structural biology gives detailed insights (...) into molecular mechanisms and principles of RNA recognition by RBPs, but has so far focused on single RNA binding proteins and often on single RNA binding domains. The combination of high‐throughput methods and detailed structural biology studies is expected to greatly advance our understanding of the code for protein‐RNA recognition in gene regulation, as we review in this article. (shrink)

Scientific realism is usually a thesis or theses advanced about our best natural science. In contrast, this book defends scientific realism applied to the social and behavioral sciences. It does so, however, by applying the same argument strategy that many have found convincing for the natural sciences, namely, by arguing that we can only explain the success of the sciences by postulating their approximate truth. The particular success that Trout emphasizes for the social sciences is the effective use of statistical (...) testing. Social scientists apply diverse statistical measurement tools to social reality; they are able to refine and improve those measurements over time. The best explanation for such success is that the social sciences give us an approximately true account of some of the laws and entities of the social world. (shrink)

Qualitative research methods are essential to provide richness, but they are vulnerable to distortion of data by theory. The quantitative approach is necessary for the precision of hypothesis testing, but, by itself, this method is too critical to be creative. Religious studies should use both methods in alternate phases, with the qualitative approach creating new hypotheses and the quantitative approach critically testing them.

This volume seeks to advance and popularise the use of corpus-driven quantitative methods in the study of semantics. The first part presents state-of-the-art research in polysemy and synonymy from a Cognitive Linguistic perspective. The second part presents and explains in a didactic manner each of the statistical techniques used in the first part of the volume. A handbook both for linguists working with statistics in corpus research and for linguists in the fields of polysemy and synonymy.

The aim of this article is to discuss quantitative content analysis as established in communication sciences as a method for research in business ethics. We argue that communication sciences and business ethics are neighboring disciplines, which allow the transfer of quantitative content analysis from communication sciences to business ethics. Technically, quantitative content analysis can be applied through human as well as software coding. Examples for both applications are provided and discussed. We make reference to the software solutions (...) ‘Leximancer’, ‘Crawdad’, and ‘Wordle’, and examine their suitability and limitations with regard to ethical questions for researching business ethics. We recommend a mixed‐method approach, combining human and software coding. Furthermore, we propose a three‐step process that discusses quantitative content analysis as a method for business ethics, including an ethical research objective, and most importantly, concluding with ethical reasoning and interpretation of the quantitative results. (shrink)

« Dans la sphère économique, un acte, une habitude, une institution, une loi n’engendrent pas seulement un effet, mais une série d’effets. De ces effets, le premier seul est immédiat ; il se manifeste simultanément avec sa cause, on le voit. Les autres ne se déroulent que successivement, on ne les voit pas, heureux si on les prévoit. Entre un mauvais et un bon Economiste, voici toute la différence : l’un s’en tient à l’effet visible, l’autre tient compte et de (...) l’effet qu’on voit et de ceux qu’il faut prévoir. » Frédéric Bastiat (1850), Ce qu’on voit, ce qu’on ne voit pas. Abstract: Outre l’économiste érudit, le spécialiste de l’école autrichienne et de la théorie du Public Choice, Bertrand Lemennicier se passionnait pour la prévision en général et la prévision politique en particulier. Dans cet article en forme d’hommage, nous proposons de faire un point d’étape sur les méthodes de prévision électorale, en allant des méthodes non quantitatives aux méthodes quantitatives au sein desquelles les modèles de vote politico-économiques occupent une place éminente. En l’espèce, nous évoquerons la contribution de Bertrand Lemennicier à « l’art » de la prévision électorale. (shrink)

In this paper, I examine William Whewell’s (1794–1866) ‘Discoverer’s Induction’, and argue that it 21 supplies a strikingly accurate characterization of the logic behind many statistical methods, exploratory 22 data analysis (EDA) in particular. Such methods are additionally well-suited as a point of evaluation of 23 Whewell’s philosophy since the central techniques of EDA were not invented until after Whewell’s death, 24 and so couldn’t have influenced his views. The fact that the quantitative details of some very (...) general 25 methods designed to suggest hypotheses would so closely resemble Whewell’s views of how theories 26 are formed is, I suggest, a strongly positive comment on these views. (shrink)

Claudiu Herţeliu, Metode cantitative în studiul fenomenului religios (Quantitative Methods in the Study of Religious Phenomena), (Cluj-Napoca: Ed. Napoca Star, 2009), 227 p.

In this research work, an analysis of collocations associated with the concepts of “smell”, “aroma”, “stench” and “stench” in the Russian and English languages was carried out using quantitative methods and automatic language processing on the basis of the National Corpus of the Russian Language (NCRL), corpus English (COCA) and the Mannheim Corpus for German. The obtained statistical indicators make it possible to identify the peculiarities of the use of adjectives, verbs and nouns that reflect the attitude to (...) olfactory experience in English, Russian and German. The results allow us to compare descriptions of odors in different cultures and identify trends in the assessment of olfactory impressions. Patterns in the compatibility of olfactory vocabulary also indicate the tendency of keywords to acquire a positive or negative emotional connotation due to collocates. (shrink)

Quantitative researchers often discuss research ethics as if specific ethical problems can be reduced to abstract normative logics (e.g., virtue ethics, utilitarianism, deontology). Such approaches overlook how values are embedded in every aspect of quantitative methods, including ‘observations,’ ‘facts,’ and notions of ‘objectivity.’ We describe how quantitative research practices, concepts, discourses, and their objects/subjects of study have always been value-laden, from the invention of statistics and probability in the 1600s to their subsequent adoption as a logic (...) made to appear as if it exists prior to, and separate from, ethics and values. This logic, which was embraced in the Academy of Management from the 1960s, casts management researchers as ethical agents who ought to know about a reality conceptualized as naturally existing in the image of statistics and probability (replete with ‘constructs’), while overlooking that S&P logic and practices, which researchers made for themselves, have an appreciable role in making the world appear this way. We introduce a different way to conceptualize reality and ethics, wherein the process of scientific inquiry itself requires an examination of its own practices and commitments. Instead of resorting to decontextualized notions of ‘rigor’ and its ‘best practices,’ quantitative researchers can adopt more purposeful ways to reason about the ethics and relevance of their methods and their science. We end by considering implications for addressing ‘post truth’ and ‘alternative facts’ problems as collective concerns, wherein it is actually the pluralistic nature of description that makes defending a collectively valuable version of reality so important and urgent. (shrink)

In educational research, the ‘paradigm wars’—vehement debates between proponents of qualitative approaches and proponents of quantitative approaches—are far from over (Bryman 2006). The development of British educational research demonstrates this nicely. Influenced by policy makers’ demands for prediction and control, the current research climate is characterised by a mistrust of qualitative methods, particularly in regard to their potential value-ladenness and lack of rigour (Hodkinson 2008).British education sociologist and methodologist Martyn Hammersley, one of the authors of Challenging the Qualitative– (...) class='Hi'>Quantitative Divide: Explorations in Case-Focused Causal Analysis, objects to the dichotomy between qualitative and quantitative methods that the paradigm wars are based on. He argues that the division is artificial and may even be damaging: for instance, it could discourage researchers of one approach from taking into account arguments produced by researchers of a different style .. (shrink)

This book offers an unprecedented quantitative portrait of analytic philosophy focusing on two seemingly marginal features of philosophical texts: citations and acknowledgements in academic publications. Originating from a little network of philosophers based in Oxford, Cambridge, and Vienna, analytic philosophy has become during the Twentieth century a thriving philosophical community with thousands of members worldwide. Leveraging the most advanced techniques from bibliometrics, citations and acknowledgments are used in this book to shed light on both the epistemology and the sociology (...) of this philosophical field, illuminating the intellectual trajectory of analytic philosophy as well as the social characteristics of the analytic community. Special attention is dedicated to the last forty years, providing insights into a phase of analytic philosophy which is still understudied by historians of philosophy. In the eight chapters of the book, readers will find not only numerous quantitative investigations and technical explanations, but also a robust theoretical framework and epistemological reflections on the strengths and limitations of quantitative methods for the study of philosophy. With its strong interdisciplinary appeal, this book will engage a wide range of scholars, including historians of philosophy seeking new methodologies, analytic philosophers interested in a new look at their discipline, and scholars in digital humanities, bibliometrics, and quantitative studies of science, who will find many innovative techniques for investigating disciplinary fields. (shrink)

This paper challenges the common assumption that some phenotypic traits are quantitative while others are qualitative. The distinction between these two kinds of traits is widely influential in biological and biomedical research as well as in scientific education and communication. This is probably due to both historical and epistemological reasons. However, the quantitative/qualitative distinction involves a variety of simplifications on the genetic causes of phenotypic variability and on the development of complex traits. Here, I examine three cases from (...) the life sciences that show inconsistencies in the distinction: Mendelian traits, Mendelian diseases, and polygenic mental disorders. I show that these traits can be framed both quantitatively and qualitatively depending, for instance, on the methods through which they are investigated and on specific epistemic purposes. This suggests that the received view of quantitative and qualitative traits has a limited heuristic power—limited to some local contexts or to the specific methodologies adopted. Throughout the paper, I provide directions for framing phenotypes beyond the quantitative/qualitative distinction. I conclude by pointing at the necessity of developing a principled characterisation of what phenotypic traits, in general, are. (shrink)

The project “Artificial and Artistic Vision. Computer Vision and Art History in Practical-Methodical Cooperation” is interdisciplinary by definition and also in its personnel composition and combines the humanities, engineering, and natural sciences. Together, prototypes and methodological approaches to an automatic vision that assists art history are being developed in the form of basic research.

Assessing the association between conceptual constructs are at the heart of quantitative research in educational and psychological research. Researchers apply different methods to the data to obtain results about the correlation between a set of variables. However, the question remains, how accurate are the results of the correlation obtained from these methods? Although various considerations should be taken to ensure accurate results, we focus on the types of analysis researchers apply to the data and discuss three (...) class='Hi'>methods most researchers use to obtain results about correlation. Particularly, we show how correlation results in bivariate correlation, confirmatory factor analysis (CFA), and exploratory structural equation modeling (ESEM) differ substantially in size. We observe that methods that assume independence of the items often generate inflated factor correlations whereas methods that relax this assumption present uninflated, thus more accurate correlations. Because factor correlations are inflated in bivariate correlation and CFA, the discriminant validity of the constructs is often unattainable. In these methods, the size of the correlation can be very large and biased. We discuss the reasons for this variation and suggest the type of correlation that researchers should select and report. (shrink)

Using quantitative methods, we investigate the role of logic in analytic philosophy from 1941 to 2010. In particular, a corpus of five journals publishing analytic philosophy is assessed and evaluated against three main criteria: the presence of logic, its role and level of technical sophistication. The analysis reveals that logic is not present at all in nearly three-quarters of the corpus, the instrumental role of logic prevails over the non-instrumental ones, and the level of technical sophistication increases in (...) time, although it remains relatively low. These results are used to challenge the view, widespread among analytic philosophers and labeled here “prevailing view”, that logic is a widely used and highly sophisticated method to analyze philosophical problems. (shrink)

This special issue addresses question about the place of quantitative methods in the field of biosemiotics. Many standpoints have been taken by contributing authors to demonstrate that the answer to this question is not straightforward. Considering quantitative methods in biosemiotics is necessarily related to inclusion of other scientific fields and interdisciplinary dialogue.