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Based on a simple nonparametric procedure for comparing two proximity matrices, a measure of concordance is introduced that is appropriate when K independent proximity matrices are available. In addition to the development of a general concept of concordance and specific techniques for its evaluation within and between the subsets of a partition of the K matrices, several methods are also suggested for comparing and/or for fitting a particular structure to the given data. Finally, brief indications are provided as to how the well-known notion of concordance for K rank orders can be included within the more general framework.
In the situation where subjects independently rank order a fixed set of items, the idea of a consensus ordering of the items is defined and employed as a parameter in a class of probability models for rankings. In the context of such models, which generalize those of Mallows, posterior probabilities may be easily formed about the population consensus ordering. An example of rankings obtained by the Graduate Record Examination Board is presented to demonstrate the adequacy of these generalized Mallows' models for describing actual data sets of rankings and to illustrate convenient summaries of the posterior probabilities for the consensus ordering.
Salience theory relies on the assumption that not only the marginal distribution of lotteries, but also the correlation of payoffs across states impacts choices. Recent experimental studies on salience theory seem to provide evidence in favor of such correlation effects. However, these studies fail to control for event-splitting effects (ESE). In this paper, we seek to disentangle the role of correlation and event-splitting in two settings: (1) the common consequence Allais paradox as studied by Bordalo et al. (Q J Econ 127:1243–1285, 2012), Frydman and Mormann (The role of salience in choice under risk: An experimental investigation. Working Paper, 2018), and Bruhin et al. (J Risk Uncertain 65:139–184, 2022); (2) choices between Mao pairs as studied by Dertwinkel-Kalt and Köster (J Eur Econ Assoc 18:2057–2107, 2020). In both settings, we find evidence suggesting that recent findings supporting correlation effects are largely driven by ESE. Once controlling for ESE, we find no consistent evidence for correlation effects. Our results thus shed doubt on the validity of salience theory in describing risky behavior.
The use of U-statistics based on rank correlation coefficients in estimating the strength of concordance among a group of rankers is examined for cases where the null hypothesis of random rankings is not tenable. The studentized U-statistics is asymptotically distribution-free, and the Student-t approximation is used for small and moderate sized samples. An approximate confidence interval is constructed for the strength of concordance. Monte Carlo results indicate that the Student-t approximation can be improved by estimating the degrees of freedom.
A comprehensive statistical framework is presented which encompasses a wide range of existing nonparametric methods. The basic strategy, referred to as linear assignment (LA), depends on a simple index of correspondence defined between two object sets that have been matched in some a priori manner. In this broad sense, LA can be interpreted as a general correlational technique. A variety of extensions are discussed along with the attendant problems of significance testing and the construction of normalized descriptive indices.
In a recent article, Fagot proposed a generalized family of coefficients of relational agreement for multiple judges, focusing on the concept of empirically meaningful relationships. In this paper an ordinal coefficient of relational agreement, based on ranking data, is presented as a special case of the generalized family. It is shown that the proposed ordinal coefficient encompasses other ordinal coefficients, such as the Kendall coefficient of concordance, the average Spearman rank-order coefficient, and intraclass correlation based on ranks. It is also shown that the Kendall coefficient of concordance, corrected for chance agreement, is equivalent to the ordinal coefficient proposed in this paper.
What is literary data? This chapter addresses this question by examining how the concept of data functioned during a formative moment in academic literary study around the turn of the twentieth century and again at the beginning of electronic literary computing. The chapter considers the following cases: Lucius Adelno Sherman’s Analytics of Literature (1893), the activities of the Concordance Society (c.1906–28), Lane Cooper’s A Concordance to the Poems of William Wordsworth (1911), and the work of Stephen M. Parrish c.1960. The chapter explains how the concept of literary data was used by literature scholars to signal a commitment to a certain epistemological framework that was opposed to other ways of knowing and reading in the disciplinary field.
This chapter provides an overview of the process of conceiving, researching, editing, and publishing dictionaries, both synchronic (or commercial) and historical. Discussed methods and tools for making dictionaries range from traditional hand-copying of citations from print books and paper-and-pencil editing to sophisticated electronic technologies like databases, corpora, concordances, and networked editing software. The chapter shows how editorial conception of the needs and sophistication of the end user largely determines the dictionary’s length and headword list as well as the format, defining style, and level of detail in entries. The chapter goes on to examine how the pressures of commercial publishing, with its looming deadlines and pressing need to recoup investment by profits from sales, affect the scope of dictionaries and the amount of time editors can devote to a project, and how these pressures differ from those affecting longer-trajectory, typically grant-funded historical dictionaries. Assessing the consequent challenges for managing and motivating people working in these two very different situations, what may be the most important factor in a project’s success, concludes the survey of dictionary editing.
Clinicians often rely on caregiver proxy symptom reports to treat cancer-related symptoms in children. Research has described disagreement between children’s and caregivers’ symptom reports. Factors influencing the level of agreement is an understudied area. Thus, this study aimed to examine potential factors contributing to the level of agreement between symptom reports provided by children and their caregivers.
Methods
Sixteen child–caregiver dyads participated separately in semi-structured interviews after completing a brief symptom measure independently using an electronic device. Child and caregiver quantitative symptom responses were reviewed in real-time and incorporated into the semi-structured interview. Sample characteristics and the level of agreement between symptom reports were calculated using descriptive statistics. Transcribed participant interviews were analyzed using content analysis.
Results
Nearly half of child–caregiver dyads exhibited a moderate (37.5%, n = 6) or low (18.75%, n = 3) level of agreement on the abbreviated symptom measure. Qualitative analysis identified 5 themes: recognizing symptoms, experiencing symptoms, communicating symptoms, re-assessing and treating symptoms, and influencing individual and relationship factors. Influencing individual, including a child’s tendencies or personality traits, and relationship factors intersected the other themes, partially explained their symptom perceptions, and served to facilitate or hinder symptom communication.
Significance of Results
Symptom communication is an important part of the symptom cycle, comprised of symptom recognition, experience, and management. Individual and relational factors may influence discrepancies in symptom perceptions between the child and caregiver. Clinicians and researchers should consider developing interventions to enhance symptom communication and promote collaboration between children and their caregivers to address symptom suffering during cancer treatment.
Dominant approaches to norm development have shaped and limited the direction and impact of the norm research programme. While early work tended to characterise norm development in relatively teleological and progressive terms, more recent work has explored how a norm’s meaning changes through processes of interpretation, contestation, and violation. In spite of this important corrective and the rich debates that have emerged from it, understandings of norm development have continued to be hampered by a focus on behavioral measures and on changes in norm content. As a result, approaches to norm development remain incomplete, most notably in their neglect of norm strength. To address these shortcomings, this chapter critically reviews existing scholarship on norm change and development, highlighting the need to consider norm content and norm strength as distinct and constitutive elements in processes of norm development. The chapter proposes a typology that identifies four forms of norm change, along with an updated conceptual framework for understanding norm development. This conceptual framework overcomes existing conceptual gaps and inconsistencies in the study of norm processes. In so doing, it promises to advance existing theoretical debates, open new directions of inquiry, and contribute to the further accumulation of knowledge about international norms.
This chapter focuses on the empirical basis of corpus linguistics, describing how linguistic corpora have played an important role in providing corpus linguists with linguistic evidence to support particular analyses of language. It opens with a discussion of how to define a corpus, and then traces the history of corpus linguistics, noting that as early as the fifteenth century, concordances were created based on the Bible. Later developments included the creation of the Quirk Corpus (print samples of spoken and written English) in 1955 at the Survey of English Usage in University College London, followed (in the 1960s) by the Brown Corpus (edited written American English). There are now online corpora, such as the Corpus of Contemporary American English. Tools for creating and analyzing corpora have also improved considerably: tagging corpora with part-of-speech information can be done with high levels of accuracy. The chapter closes with a description of the many different areas (e.g. lexicology and sociolinguistics) that have benefited from the use of linguistic corpora as well as a sample linguistic analysis demonstrating that corpus-based methodology and the theory of construction grammar can provide evidence that appositives in English are a type of construction.
We define smooth notions of concordance and sliceness for spatial graphs. We prove that sliceness of a spatial graph is equivalent to a condition on a set of linking numbers together with sliceness of a link associated with the graph. This generalizes the result of Taniyama for $\theta $-curves.
Chapter 3 provides a brief overview of the particular approach to corpus linguistics adopted in this book: namely, corpus linguistics as a method (as opposed to corpus linguistics as a theory) (McEnery & Hardy, 2012; Tognini-Bonelli, 2001). The specific corpus linguistic analytical methods used, such as collocation and keyness analysis, and the statistical tests and cut-offs associated with each analysis type are detailed. Using data from the MI 1984–2014 Corpus (specifically the data collected during a pilot study and an illness-specific sample of the data), each analytical method used is exemplified. The utility of each analysis type for analysing ideology in texts is also discussed.
This chapter presents the meaning of concordance and examines the underpinning evidence base for effective prescribing consultations. Concordance is compared with the traditional approach of compliance in medicine taking, concluding that the evidence base for the latter has been shown to be inadequate in a number of respects. The chapter gives an overview of the evidence base for the concept of concordance and draws out the implications from research for the new generation of prescribers, outlining the reasons why practitioners who are independent (IPs) and/or supplementary prescribers (SPs) need to incorporate these principles into their practice. An overview of the skills and competencies that prescribing professionals need in order to adopt concordance in practice is then presented. This is followed by a review of research on healthcare professionals’ use of concordance in practice. The evidence to date suggest that healthcare professionals are not yet enacting this approach to medicines discussion in practice. Further research is required to both understand professional practice and develop interventions to move practice towards a partnership model of communication
Reciprocity—the mutual provisioning of support/goods—is a pervasive feature of social life. Directed networks provide a way to examine the structure of reciprocity in a community. However, measuring social networks involves assumptions about what relationships matter and how to elicit them, which may impact observed reciprocity. In particular, the practice of aggregating multiple sources of data on the same relationship (e.g., “double-sampled” data, where both the “giver” and “receiver” are asked to report on their relationship) may have pronounced impacts on network structure. To investigate these issues, we examine concordance (ties reported by both parties) and reciprocity in a set of directed, double-sampled social support networks. We find low concordance in people’s responses. Taking either the union (including any reported ties) or the intersection (including only concordant ties) of double-sampled relationships results in dramatically higher levels of reciprocity. Using multilevel exponential random graph models of social support networks from 75 villages in India, we show that these changes cannot be fully explained by the increase in the number of ties produced by layer aggregation. Respondents’ tendency to name the same people as both givers and receivers of support plays an important role, but this tendency varies across contexts and relationships type. We argue that no single method should necessarily be seen as the “correct” choice for aggregation of multiple sources of data on a single relationship type. Methods of aggregation should depend on the research question, the context, and the relationship in question.
Neurosciences evolved very rapidly in last few years and helped the establishment of Liaison Psychiatry as a fundamental part of the general hospitals functioning. However, the use of this department by the other specialties still needs to be refined, as it is common to find wrong assessments in the referral of the patients.
Objectives
We aim to study the concordance between the referral motives and the assessment by the psychiatry team.
Methods
Data was collected through the informatic registry. Contains patient data observed by a liaison psychiatrist in the period between 1st of July and 30th of September of 2020. In this period there were 80 requests, of which, 6 were refused for various reasons. We decided to study the concordance when one of these symptoms were in the request: anxious symptoms, depressive symptoms, psychotic symptoms and psychomotor agitation. 46 requests met this criteria.
Results
The mean age was 63,3yo and 46% were older than 65yo. Most were women (54%) and 68% had history of psychiatry disorder. About 50% were requests from the Medicine wards. The concordance between the medical request and the psychiatry assessment was higher for psychomotor agitation (n=11; 64%) and depressive symptoms (n=23; 57%), but it was lower in anxious symptoms (n=3; 33%) and in psychotic symptoms (n=9; 33%). Most common diagnosis was delirium.
Conclusions
Non-psychiatrist doctors appear to have more difficulty when assessing anxious and psychotic symptoms. Those concordance percentages are in line with recent research. Actions should be taken to improve this, like academic training and standardization of referral.
This chapter reviews the transformative effects of technology on dictionary-making, focusing on four main areas: the use of databases for storing and organising dictionary text; the creation and exploitation of corpora for use as the dictionary’s evidence base; the enhancement of the value and usability of corpus data through the application of software tools developed in the NLP (natural language processing) community; and the migration of dictionaries from print to online media. During the last half-century, activity in all these areas has brought fundamental changes to the way dictionaries are created and made available to their users. We trace the development of corpus-based lexicography in English, from the early work of John Sinclair and his colleagues in the 1980s to the present day. Lexicographers working in English and other widely used languages now have access to resources which would scarcely have been imaginable thirty years ago: very large corpora (measured in tens of billions of words) and sophisticated corpus-querying tools are routinely available. The move from print to digital publication is a more recent development, but no less significant. The far-reaching implications of these changes – for dictionary-makers and dictionary-users alike – are explored at every stage.
Couple-level reports of contraceptive use are important as wives and husbands may report their use differently. Using matched couple data (N = 63,060) from India’s NFHS-4 (2015–16), this study examined concordance in spousal reports of current contraceptive use and its differentials. Reporting of contraceptive use was higher among wives (59.0%) than husbands (25.2%). Concordance was low; 16.5% of couples reported the current use of the same method, while 20.4% reported the current use of any method. Many husbands did not report female sterilization as a means of contraception being used by their wives. Reconstruction of contraceptive use among men, based on the ‘ever-use of sterilization’ question asked to men, increased concordance by 10%. Multivariate analyses showed that concordance was low in urban and southern India, among younger women and among women with a lower wealth index. Men’s control over household decision-making and negative attitudes towards contraception were associated with lower concordance. The findings highlight the importance of using couple-level data to estimate contraceptive prevalence, and the role of education programmes to inculcate positive attitudes towards contraception, fostering gender equality and involving men in family planning efforts. The results also raise the issue of data quality as the survey questions were asked differently to men and women, which might have contributed to the wide observed discordance.
Chapter 4 discusses corpus linguistics and how electronic corpora have informed vocabulary studies. The main insights have been in the areas of frequency and phraseology. The chapter includes an extended discussion of formulaic language, which has been shown to be a major component of vocabulary knowledge.
To understand how dietary intake data collected via a brief ecological momentary assessment (EMA) measure compares to that of data collected via interviewer-administered 24-h dietary recalls, and explore differences in level of concordance between these two assessment types by individual- and meal-level characteristics.
Design:
Parents completed three 24-h dietary recalls and 8 d of brief EMA surveys on behalf of their child; in total, there were 185 d where dietary intake data from both EMA and 24-h recall were available. The EMA measure asked parents to indicate whether (yes/no) their child had consumed any of the nine total food items (e.g. fruit, vegetable, etc.) at eating occasions where both the child and parent were present.
Setting:
Twenty-four-hour dietary recalls were completed in person in the study participant’s home; participants completed EMA surveys using a study provided in iPad or their personal cell phone.
Participants:
A diverse, population-based sample of parent–child dyads (n 150).
Results:
Among meals reported in both the EMA and dietary recalls, concordance of reporting of specific types of food ranged from moderate agreement for meat (kappa = 0·55); fair agreement for sweets (kappa = 0·38), beans/nuts (kappa = 0·37), dairy (kappa = 0·31), fruit (kappa = 0·31) and vegetables (kappa = 0·27); and little to no agreement for refined grains, whole grains and sweetened beverages (73 % overall agreement; kappa = 0·14). Concordance of reporting was highest for breakfast and snacks, as compared with other eating occasions. Higher concordance was observed between the two measures if the meal occurred at home.
Conclusions:
Data suggest that among meals reported in both the EMA and dietary recalls, concordance in reporting was reasonably good for some types of food but only fair or poor for others.