scholarly journals A stepwise method for annotating appraisal

2018 ◽  
Vol 25 (2) ◽  
pp. 229-258 ◽  
Author(s):  
Matteo Fuoli

Abstract Despite a growing awareness of methodological issues, the literature on appraisal has not so far provided adequate answers to some of the key challenges involved in reliably identifying and classifying evaluative language expressions. This article presents a stepwise method for the manual annotation of appraisal in text that is designed to optimize reliability, replicability and transparency. The procedure consists of seven steps, from the creation of a context-specific annotation manual to the statistical analysis of the quantitative data derived from the manually-performed annotations. By presenting this method, the article pursues the twofold purpose of (i) providing a practical tool that can facilitate more reliable, replicable and transparent analyses, and (ii) fostering a discussion of the best practices that should be observed when manually annotating appraisal.

2020 ◽  
pp. 147387162098012
Author(s):  
Alon Friedman

Scholars in scientific disciplines face unique challenges in the creation of visualizations, especially in publications that require insights derived from analyses to be visually displayed. The literature on visualizations describes different techniques and best practices for the creation of graphs. However, these techniques have not been used to evaluate the impact of visualizations in academic publications. In the field of ecology, as in other scientific fields, graphs are an essential part of journal articles. Little is known about the connections between the kind of data presented and domain in which the researchers conducted their study that together produces the visual graphics. This study focused on articles published in the Journal of Ecology between 1996 and 2016 to explore possible connections between data type, domain, and visualization type. Specifically, this study asked three questions: How many of the graphics published between 1996 and 2016 follow a particular set of recommendations for best practices? What can Pearson correlations reveal about the relationships between type of data, domain of study, and visual displays? Can the findings be examined through an inter-reliability test lens? Out of the 20,080 visualizations assessed, 54% included unnecessary graphical elements in the early part of the study (1996–2010). The most common type of data was univariate (35%) and it was often displayed using line graphs. Twenty-one percent of the articles in the period studied could be categorized under the domain type “single species.” Pearson correlation analysis showed that data type and domain type was positively correlated ( r = 0.08; p ≤ 0.05). Cohen’s kappa for the reliability test was 0.86, suggesting good agreement between the two categories. This study provides evidence that data type and domain types are equally important in determining the type of visualizations found in scientific journals.


2021 ◽  
Vol 13 (8) ◽  
pp. 4578
Author(s):  
George Martinidis ◽  
Muluken Elias Adamseged ◽  
Arkadiusz Dyjakon ◽  
Yannis Fallas ◽  
Angeliki Foutri ◽  
...  

The main aim of this paper is to demonstrate that clusters can support the sustainable development of rural areas through the creation of shared value. This is done via the close exam-ination of six different cases of rural clusters in Greece, Italy, Germany, Poland, Denmark, and Sweden. Qualitative as well as quantitative data weretaken from the clusters, which demonstrated that their main business approaches naturally coincided with the creation of economic, social, and environmental benefits for the local communities in which they operated. The case clusters were created in a top-down manner, aimed at boosting regional R&D activities and making the local economy more competitive and more sustainable. However, private initiative took over and al-lowed these clusters to flourish because meeting the regions’ economic, social, and environmental needs successfully coincided with the target of the clusters’ own development and profitability. The results show that clusters, with their potential for shared value creation, can constitute a powerful engine for the revitalisation and development of rural areas, addressing the significant challenges which they are currently facing.


2018 ◽  
pp. 7-40
Author(s):  
Vladislav Knoll

The main aim of the article is to present a complex image of the diversity, use and functions of written Slavonic idioms in the first half of the 18th century, which is the period that shortly precedes the creation of the modern national languages. This detailed view shows that the number of the written varieties was much larger, and the function structure of the single languages and varieties in each speech community was more complex than now. The article also discusses the methodological issues linked to the studies on the pre-national languages and tries to find the common patterns of variety hierarchy in each of the main cultural areas of the Slavonic world.


2017 ◽  
Author(s):  
Moin Syed ◽  
Sarah C. Nelson

The use of quantitative, qualitative, and mixed methods approaches has been foundational to research on emerging adulthood, yet there remain many unresolved methodological issues pertaining to how to handle qualitative data. The purpose of this article is to review best practices for coding and establishing reliability when working with narrative data. In doing so, we highlight how establishing reliability must be seen as an evolving process, rather than simply a focus on the end product. The review is divided into three broad sections. In the first section, we discuss relatively more quantitatively-focused methods of coding and establishing reliability, whereas in the second section we discuss relatively more qualitatively-focused methods. In the final section, we provide recommendations for researchers interested in coding narrative and other types of open-ended data. This article is intended to serve as an essential resource for researchers working on a variety of topics related to emerging adulthood and beyond.


Author(s):  
A.M. Abackumov ◽  
L.A. Tayibov ◽  
T. Tsogsaihan

This work is devoted to investigation of fluctuations of pulse energy of the IBR-2M reactor by the method of statistical analysis. There is a description of structural features of the IBR-2M reactor in this work and its main parameters are given. The principle of the creation of neutron pulses is shown. The work also contains a description of the method of statistical analysis and further calculations made by this method. Having the received data, a comparison of the estimates of the standard deviation with the available results for 2012 was made.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mar Vazquez-Noguerol ◽  
Iván González-Boubeta ◽  
Iago Portela-Caramés ◽  
J. Carlos Prado-Prado

PurposeGrocery sellers that have entered the online business must now carry out order fulfilment activities previously done by the customer. Consequently, in a context of online sales growth, the purpose of this study is to identify and implement best practices in order to redesign the order picking process in a retailer with a store-based model.Design/methodology/approachTo identify different work alternatives, an approach is developed to analyse the methods used in distinct stores of one large Spanish grocer. The methodology employed is a three-step statistical analysis that combines ANOVA and MANOVA techniques to settle on the best alternatives in each case.FindingsSubstantial improvements can be achieved by analysing the different working methods. The three-step statistical analysis identified best practices in terms of their impact on preparation time, allowing a faster working method.Practical implicationsTo manage business processes efficiently, online grocers that operate store-based fulfilment strategies can redesign their working method using a criterion based on their own performance.Originality/valueThis is one of the few contributions focusing on the improvement of e-grocery fulfilment operations by disseminating best practices through decision-making criteria. This study contributes by addressing the lack of approaches studying the order picking process by considering its various features and applying best practices.


Author(s):  
Christine A. Haynes ◽  
Kaye Shelton

With the rapid advancement of online survey tools, research collaboration tools, communication platforms, and statistical analysis tools, the Delphi method is an increasingly popular research approach to gain insight from experts into complex problems or when future-oriented planning is required. This chapter focuses on practical considerations and implications for practice when conducting studies online using the Delphi method. Practical logistics for the management of online Delphi studies explored in this chapter include preparing for a successful study, designing communication strategies, addressing technological considerations, and handling of qualitative and quantitative data.


This chapter presents data gathered by a Cyprus-related survey that was conducted by the authors with the aid of many professional Cypriot journalists. The survey was conducted between 6th of September and 13th of November 2012 and managed to gather 62 responses. The participants came from a different social and educational background as they were gathered thanks to online media coverage. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.


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