scholarly journals Interpretation of Epidemiological Data Using Multiple Correspondence Analysis and Log-linear Models

2021 ◽  
Vol 2 (1) ◽  
pp. 75-86
Author(s):  
Demosthenes B. Panagiotakos ◽  
Christos Pitsavos
Keyword(s):  
Correspondence Analysis ◽  
Linear Models ◽  
Multiple Correspondence Analysis ◽  
Epidemiological Data ◽  
Log Linear

Characterizing adaptations of serve indicators in top-level male volleyball among seasons

2020 ◽  
pp. 174795412097892
Author(s):  
Konstantinos Sotiropoulos ◽  
Sotirios Drikos ◽  
Sophia D Papadopoulou ◽  
Karolina Barzouka
Keyword(s):  
Correspondence Analysis ◽  
Olympic Games ◽  
Multiple Correspondence Analysis ◽  
Horizontal Axis ◽  
Special Focus ◽  
Linear Modelling ◽  
Chi Squared ◽  
Position Type ◽  
Log Linear

The purpose of this study was to analyse selected serve characteristics in top-level male volleyball, with a special focus on detecting adaptations of the serve skill among seasons. The indicators examined were type, position, direction and quality of serve. The sample consisted of 5482 serves from three final phases of different top-level tournaments (Olympic Games 2012, N = 1942, World League 2017, N = 1883, World Championship 2018, N = 1657). The interrelationships between variables were analyzed using chi-squared tests, log-linear modelling and multiple correspondence analysis. The results showed that the interaction of all serve indicators are statistically important, but the combination of the variables’ categories that were more responsible for association alternated across the seasons under study. A 3-way association term was revealed for season 2012 (type/position/direction) and 2018 (type/position/quality), while for season 2017 multiple 2-way interactions were found (type/position, type/direction, position/quality, direction/quality). The direction of the serve to the horizontal axis of the court was correlated to the quality of serve and consequently with the advantage of the serving team, while a more tactical perspective for serve skill is formed over periods in top level male volleyball.

Quantifying Systemic Coupling and Syndrome Using Multivariate Statistical Methods: An SFL Corpus Example

2021 ◽  
Author(s):  
Bandar Alhumaidi A. Almutairi
Keyword(s):  
Statistical Methods ◽  
Correspondence Analysis ◽  
Systemic Functional Linguistics ◽  
Multiple Correspondence Analysis ◽  
Linear Analysis ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Log Linear ◽  
Online Debate ◽  
The Relationship

One of the fundamental underpinnings of systemic functional linguistics (SFL) is that the relationship between language-as-system and language-as-text is modelled probabilistically in relation to the cline of instantiation. This offers a spectrum of new ways to approach several SFL concepts quantitatively. This paper falls within that spectrum as it proposes that the relatively recent concepts of coupling and syndrome can be redefined quantitatively in relation to instantiation through two statistical methods – namely log-linear analysis and multiple correspondence analysis (MCA) The application of these two methods is illustrated through an analysis of a corpus of twelve online voting-based online debate texts (ODTs) The results and discussion sections of this paper show that the methods can identify and quantify significant couplings and syndromes from both probabilistic and statistical perspectives. Both methods illustratively highlight eleven couplings and four syndromes associated with the more persuasive and less persuasive ODTs writers.

scholarly journals DIFERENCIAS DE GÉNERO EN LA ELECCIÓN DE ESTILOS DE VIDA EN ARGENTINA

2014 ◽  
Vol 32 (1) ◽  
pp. 63
Author(s):  
Rodrigo García Arancibia ◽  
Mariano Coronel
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Linear Model ◽  
Correspondence Analysis ◽  
Dietary Habits ◽  
Multiple Correspondence Analysis ◽  
Tobacco Consumption ◽  
Men And Women ◽  
Log Linear

Taking gender as a category of analysis, in this paper the association between lifestyles is analyzed for the Argentinean case, quantifying the revealed differences between men and women. Specifically the alcohol and tobacco consumption, dietary habits and level of physical activity are considered in the lifestyle category. A multiple correspondence analysis is performed and a log-linear model of empirical association is estimated. The<br />results show significant gender differences supporting the hypothesis that men affirm their masculinity and are legitimized as the stronger sex through unhealthy behaviors.<br /><br />

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