Explore the vast range of titles available.

Since its introduction in 2002, dark-triad research—the simultaneous study of psychopathy, narcissism, and Machiavellianism—has exploded, with the publication of hundreds of peer-reviewed articles, books, and chapters, as well as coverage by the lay media. Unfortunately, several limitations to this research are unrecognized or ignored. These limitations include (a) the treatment of dark-triad constructs as unidimensional, contrary to evidence for their multidimensionality; (b) the indistinctness between current measures of Machiavellianism and psychopathy; (c) the use of multivariate statistical approaches that pose statistical and interpretive difficulties; (d) failure to test dark-triad relations directly against one another; and (e) methodological concerns related to convenience sampling and reliance on mono-method approaches. We discuss these problems in detail and describe solutions that can result in a more robust, replicable, and meaningful literature moving forward.

Purpose This study aims to test a new model by examining the influence of memorable local food consumption experiences (MLFCEs) on international diners’ affective states, well-being and attitudinal loyalty. Local food tasting destination, local food neophobia and previous local food tasting experience are used as moderating variables. Design/methodology/approach A quantitative data collection method was used to source data from 900 US tourists to European countries (excluding the UK) and Asian countries. The data were quantitatively analyzed to examine the multidimensionality of tourists’ MLFCEs as well as their influence on outcome variables. Findings The findings indicate that MLFCEs significantly explain diners’ attitude toward local food, subjective well-being, intention to recommend and attitudinal loyalty. Also, three variables partially moderate the associations between the proposed constructs. Research limitations/implications Theoretically, the study enhances our understanding of the dimensional nature of tourists’ MLFCEs and how they inform the affective and behavioral states of tourists. Practically, it provides insights for local food businesses and destination marketing organizations concerning the composition of tourists’ MLFCEs and promotion of a tourism destination. Originality/value This study has quantitatively unraveled the dimensionality of tourists’ MLFCEs. It also developed an integrated model to test the predictive effect of MLFCEs on outcome variables and has provided a deeper understanding of the relationships, thereby enriching the literature and aiding the development of relevant theories.

Multidimensional analysis of traits are now common in ecology and evolution and are based on trait spaces in which each dimension summarizes the observed trait combination (a morphospace or an ecospace). Observations of interest will typically occupy a subset of this space, and researchers will calculate one or more measures to quantify how organisms inhabit that space. In macroevolution and ecology, these measures called disparity or dissimilarity metrics are generalized as space occupancy measures. Researchers use these measures to investigate how space occupancy changes through time, in relation to other groups of organisms, or in response to global environmental changes. However, the mathematical and biological meaning of most space occupancy measures is vague with the majority of widely used measures lacking formal description. Here, we propose a broad classification of space occupancy measures into three categories that capture changes in size, density, or position. We study the behavior of 25 measures to changes in trait space size, density, and position on simulated and empirical datasets. We find that no measure describes all of trait space aspects but that some are better at capturing certain aspects. Our results confirm the three broad categories (size, density, and position) and allow us to relate changes in any of these categories to biological phenomena. Because the choice of space occupancy measures is specific to the data and question, we introduced https://tguillerme.shinyapps.io/moms/moms, a tool to both visualize and capture changes in space occupancy for any measurement. https://tguillerme.shinyapps.io/moms/moms is designed to help workers choose the right space occupancy measures, given the properties of their trait space and their biological question. By providing guidelines and common vocabulary for space occupancy analysis, we hope to help bridging the gap in multidimensional research between ecology and evolution. Different measurements of multidimensional space occupancy can give different results and are affected by the multidimensional space properties and biological question. This paper provides a guideline of what different measurements are capturing and in which context they can be useful for answering biological questions.

This paper illustrates a psychometric approach of broad relevance to psychiatric research instruments. Many instruments include indicators related to more than one source of true-score variance due to the: (1) assessment of conceptually adjacent constructs; (2) the presence of a global construct underlying answers to items designed to assess multiple dimensions. Exploratory structural equation modelling (ESEM) is naturally suited to the investigation of the first source, whereas bifactor models are particularly suited to the investigation of the second source. When both sources are present, bifactor-ESEM becomes the model of choice. To illustrate this framework, we use the responses of 1159 adults [655 female, 504 male, mean age (Mage)=41.84] who completed the French Version of the Composite Scale of Morningness (CSM). We investigate the factor structure of the CSM, test the relations between CSM factors and body mass index, and verify the measurement invariance of the model across gender and age groups. Copyright © 2015 John Wiley & Sons, Ltd.

The National Cancer Institute (NCI) and the National Institutes of Health (NIH) Office of Disease Prevention held a workshop titled, “Extending Methods in Dietary Patterns Research”, in May of 2016. The workshop’s goal was to articulate, refine, and prioritize methodological questions to advance the science of dietary patterns in epidemiological research. Although the focus was on how to improve methods for assessing the relationship between dietary patterns and cancer risk, many, if not all, of the discussions and conclusions are relevant for other health outcomes as well. Recognizing that dietary intake is both multidimensional (i.e., it is a complex, multi-layered exposure and behavior) and dynamic (i.e., it varies over time and the life course), workshop presenters and participants discussed methodological advances required to include these concepts in dietary patterns research. This commentary highlights key needs that were identified to extend methods in dietary patterns research by integrating multidimensionality and dynamism into how dietary patterns are measured and defined, and how relationships with dietary patterns and health outcomes are modeled.

Recent years have witnessed the rapid growth of an emerging digital healthcare service – online medical consultation (OMC). Despite its popularity, many OMC platforms have encountered issues in initial adoption and continuance use among patients. We posit that many of the hesitation and resistance may arise from a lack of trust toward OMC, which is a complex phenomenon that involves both interpersonal and technological-oriented considerations. This study seeks to clarify the conceptualization of online trust in the context of OMC. It compares two plausible explanations (i.e., trust as a direct cause vs. trust as a moderator) regarding how interpersonal and technological trust contributes to the service continuance decision in OMC. By contextualizing the valence framework, we identify the critical factors in making the risk-benefit assessment of patients’ OMC decision. We conduct an online survey of 365 experienced OMC users and analyze our structural model using a partial least square approach. Our results show that the multidimensional conceptualization approach, which incorporates both interpersonal and technological aspects of trust, is superior to the unitary approach. Besides, our findings suggest that the role trust plays in determining service continuance decisions in OMC is more of a direct cause than a qualifier that buffers the impacts of risk-benefit evaluation. We believe the findings can help both researchers and practitioners recognize the multidimensional perspective of trust and better understand the role trust plays in OMC and other online healthcare delivery problems.

The present paper introduces a novel methodology for analyzing decentralization across three dimensions: political, administrative, and fiscal. Considering the challenges in determining the degree of decentralization, we have constructed synthetic measures for assessing political (MPD), administrative (MAD), and fiscal (MFD) decentralization employing the TOPSIS method (Technique for Order Preference by Similarity to an Ideal Solution). The use of this method allowed the creation of a linear rank of OECD countries. Furthermore, on the basis of constructed synthetic measures and utilizing the k-means clustering method, we also constructed a non-linear grouping of those countries. This approach enabled us to achieve the final objective of our research, the revelation of varied interrelationships among the different dimensions of decentralization in selected OECD countries. The combined application of the TOPSIS and the k-means methods enhances the methodology for analyzing decentralization by offering a multidimensional perspective. Given the potential repercussions of negative outcomes, such as overt or covert centralization, the findings of our study could turn out to be of significant relevance. First published online 10 July 2024

The purpose of this study is to analyze some correspondence exchanges to surface links between recurrent entities found in documents, which form a complex network in which correspondents, books, articles and persons cited in the letters, quoted entities linked to academic world and the documents themselves are linked together. The perspective of the multidimensionality of the environment in which sources are, which is composed by the vertical dimension – the correspondence containing the single documents -– and the horizontal dimension – represented by the links between the vertical dimensions – helps to proceed with the analysis of these inter-archival links. This analysis is made of two levels: the focus on correspondence (distant reading) and then on single document that is part of the correspondence (close reading). The correspondence between Armando Sapori and Gino Luzzatto was the starting point for the creation of the dataset, expanded with documents from correspondences between Roberto Sabatino Lopez and Gino Luzzatto, Armando Sapori and Lopez, Angelo Sraffa and Sapori. The results of network analysis make explicit the connections between the various entities: at the macro level they underline changes over time of correspondence, while at the micro level they highlight links between nodes within individual documents.

The purpose of this study is to analyze some correspondence exchanges to surface links between recurrent entities found in documents, which form a complex network in which correspondents, books, articles and persons cited in the letters, quoted entities linked to academic world and the documents themselves are linked together. The perspective of the multidimensionality of the environment in which sources are, which is composed by the vertical dimension – the correspondence containing the single documents -– and the horizontal dimension – represented by the links between the vertical dimensions – helps to proceed with the analysis of these inter-archival links. This analysis is made of two levels: the focus on correspondence (distant reading) and then on single document that is part of the correspondence (close reading). The correspondence between Armando Sapori and Gino Luzzatto was the starting point for the creation of the dataset, expanded with documents from correspondences between Roberto Sabatino Lopez and Gino Luzzatto, Armando Sapori and Lopez, Angelo Sraffa and Sapori. The results of network analysis make explicit the connections between the various entities: at the macro level they underline changes over time of correspondence, while at the micro level they highlight links between nodes within individual documents.

The purpose of this study is to analyze some correspondence exchanges to surface links between recurrent entities found in documents, which form a complex network in which correspondents, books, articles and persons cited in the letters, quoted entities linked to academic world and the documents themselves are linked together. The perspective of the multidimensionality of the environment in which sources are, which is composed by the vertical dimension – the correspondence containing the single documents -– and the horizontal dimension – represented by the links between the vertical dimensions – helps to proceed with the analysis of these inter-archival links. This analysis is made of two levels: the focus on correspondence (distant reading) and then on single document that is part of the correspondence (close reading). The correspondence between Armando Sapori and Gino Luzzatto was the starting point for the creation of the dataset, expanded with documents from correspondences between Roberto Sabatino Lopez and Gino Luzzatto, Armando Sapori and Lopez, Angelo Sraffa and Sapori. The results of network analysis make explicit the connections between the various entities: at the macro level they underline changes over time of correspondence, while at the micro level they highlight links between nodes within individual documents.