scholarly journals Multiple Correspondence Analysis, newspaper discourse and subregister

2021 ◽  
Author(s):  
Isobelle Clarke ◽  
Tony McEnery ◽  
Gavin Brookes
Keyword(s):  
Discourse Analysis ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Statistical Technique ◽  
New Method ◽  
Multivariate Statistical ◽  
Multivariate Statistical Technique ◽  
National Newspaper ◽  
Newspaper Articles

Abstract This article introduces a new method for grouping keywords and examines the extent to which it also allows analysts to explore the interaction of discourse and subregister. It uses the multivariate statistical technique, Multiple Correspondence Analysis, to reveal dimensions of keywords which co-occur across the texts of a corpus. These dimensions are then interpreted in terms of the discourses to which they contribute within the data, thus forming the basis of a corpus-assisted discourse analysis. The approach is demonstrated through analysis of the discourses that are used to represent Muslims and Islam in a corpus of UK national newspaper articles published on these topics spanning 2010–2019. The approach reveals an interaction between discourse and subregister, hence this article argues for the need for (corpus-assisted) discourse analysts to account for subregister as a level of meaningful variation when analysing press discourse.

scholarly journals COMPORTAMENTO DE MOTORISTAS COM SEMÁFOROS TEMPORIZADOS: UM ESTUDO UTILIZANDO ANÁLISE DE CORRESPONDÊNCIA

2018 ◽  
Vol 10 (2) ◽  
pp. 17-23
Author(s):  
Annanda Hellen Gomes da Costa ◽  
José Gilberto Spasiani Rinaldi
Keyword(s):  
Risk Behavior ◽  
Correspondence Analysis ◽  
Statistical Technique ◽  
Multivariate Statistical ◽  
Traffic Lights ◽  
Multivariate Statistical Technique ◽  
The City ◽  
Made In

Currently there is a significant increase in the number of vehicles that transit in Brazilian cities. The agents responsible for planning the flow of vehicles have used technologies to deal with the problems arising from this fact with the main objective of traffic safety.This paper tries to study the risk behavior of drivers in front of two typesof traffic lights, with and without timer. For this purpose, a multivariate statistical technique called Correspondence Analysis was used, which correlates the categories of two or more variables allowing interpretations to classify drivers according to their behavior.Sample collections were carried out in the city ofPresidente Prudente, revealing that drivers have a way of risking themselves more often with the traffic lights without a timer.One of the conclusions of the study, perhaps the most important one, is due to the fact that the investments that were made in the traffic lights with a timercan be considered justified considering the reduction ofaccidentrisks.

Suitability of control materials. General principles and methods of investigation.

1981 ◽  
Vol 27 (6) ◽  
pp. 798-805 ◽  
Author(s):  
J P Bretaudiere ◽  
G Dumont ◽  
R Rej ◽  
M Bailly
Keyword(s):  
Quality Control ◽  
Correspondence Analysis ◽  
Analytical Methods ◽  
Statistical Technique ◽  
Assessment Process ◽  
Ratio Method ◽  
Statistical Techniques ◽  
Multivariate Statistical ◽  
Disease States ◽  
Candidate Quality

Abstract We propose methods for characterizing the behavior of quality-control specimens. Candidate quality-control specimens and authentic patients' specimens were analyzed by various methods. Patients' specimens were chosen to be fully representative of those encountered, including subsets from persons who were healthy, had defined disease states, were in therapy, or whose specimens were lipemic, icteric, etc. The analytical methods chosen include those most commonly used as well as reference analytical methods. Procedures for characterizing the behavior of patients' specimens and candidate quality-control specimens are proposed and their applicability is demonstrated. The linear ratio method is a univariate graphical approach in which differences in accuracy among methods for any specimen or group of specimens are each displayed on a linear scale. Correspondence analysis is a descriptive multivariate statistical technique that allows both the specimens and the analytical methods to be characterized. The statistical techniques, in our application, allow the behavior of quality-control specimens to be assessed with respect to authentic patients' specimens without influencing the assessment process. Correspondence analysis provides a graphic representation by projecting both the specimens and the analytical methods on factorial planes. The appropriateness of te behavior of a quality-control specimen may be inferred from its position relative to those of authentic patients' specimens. These statistical techniques also provide some information regarding the specificity of analytical methods.

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