scholarly journals Perfiles motivacionales en las sesiones de educación física (Motivational profiles in physical education sessions)

Retos ◽  
2015 ◽  
pp. 34-39
Author(s):  
Dolors Cañabate Ortíz ◽  
Joan Pau Torralba Vicens ◽  
Javier Cachón Zagalaz ◽  
Mª Luisa Zagalaz
Keyword(s):  
Cluster Analysis ◽  
Physical Education ◽  
Hierarchical Cluster Analysis ◽  
Achievement Goals ◽  
Pearson Correlation ◽  
Hierarchical Cluster ◽  
Motivational Climate ◽  
Motivational Orientation ◽  
Practical Reasons ◽  
Motivational Profiles

El objetivo del estudio ha sido determinar los diferentes perfiles motivacionales que existen en una clase formada por alumnos de 4º, 5º y 6º de primaria. Las variables que se han utilizado para el posterior análisis han sido las metas de logro, la percepción del clima motivacional y de las estrategias que utiliza el docente para mantener la disciplina, las razones para ser disciplinados y los motivos de práctica en las clases de educación física. Se presenta un análisis de los estadísticos descriptivos que permite observar las puntuaciones medias de todas las variables, un análisis de correlación de Pearson, análisis jerárquico de Clúster y análisis multivariado (MANOVAS). El estudio revela la existencia de tres perfiles motivacionales y permite al docente ver la predominancia de razones intrínsecas en una gran parte de alumnos. También se aprecia como el clima motivacional que fomentan los profesores de EF ejerce influencia sobre la manera en que se dan los diferentes comportamientos y actitudes de los alumnos.Palabras clave: Educación Física, Orientación motivacional, percepción, clima y motivación.Abstract: The aim of the study was to determine the different motivational profiles that exist in a class consisting of students from the 4th, 5th and 6th grade. The variables that were used for subsequent analysis were achievement goals, perceived motivational climate and strategies used by teachers to maintain discipline, the reasons for discipline and practical reasons in classes physical education. We present a descriptive statistical analysis that allows to observe the mean scores of all variables a Pearson correlation analysis, hierarchical cluster analysis, hierarchical cluster analysis and multivariate analysis (MANOVAs). The study reveals the existence of three motivational profiles and allows the teacher to see the predominance of intrinsic reasons a lot of students. Also seen as a motivational climate that encourage PE teachers influences the way they give different behaviors and attitudes of studentsKey words: Physical Education, motivational orientation, perception, climate and motivation.

Motivational Profiles and Achievement Goal Dominance in Physical Education

2014 ◽  
Vol 17 ◽  
Author(s):  
Antonio Méndez-Giménez ◽  
José-Antonio Cecchini-Estrada ◽  
Javier Fernández-Río
Keyword(s):  
Cluster Analysis ◽  
Physical Education ◽  
Positive Affect ◽  
Achievement Goals ◽  
Autonomous Motivation ◽  
Achievement Goal ◽  
Mastery Goals ◽  
Controlled Motivation ◽  
Wilks Lambda ◽  
Motivational Profiles

AbstractThe main goal was to compare idiographic profiles of achievement goal dominance (AGD) and motivational profiles based on 2x2 achievement goals to improve our understanding of how the four achievement goals work in conjunction with one another, and to discern which profiles are most adaptive in the Physical Education context. A total of 351 students (203 males; 148 females) (M = 14.26 ± 1.37 years) from 3 different secondary schools agreed to participate. 86.6% (N = 303) showed AGD, mostly mastery-approach dominance (62.9%).We examined the four AGD groups’ idiographic profiles and how they relate to certain positive (autonomous motivation and positive affect) and negative variables (controlled motivation and amotivation). The results supported the hypotheses of AGD theory (MANOVA one-way, Wilks’ lambda = .609, F(24, 298) = 7.96, p < .001, η2 = .15). Subsequently, k-means cluster analysis was performed, yielding 4 distinct achievement goal profiles. The most adaptive was named “mastery goals”, while “high achievement goals” were the second most adaptive. AGD participants’distribution across the different motivational clusters was also ascertained (MANOVA one-way, Wilks’ lambda = .678, F(12, 910) = 12.01, p < .001, η2 = .12).

A cluster analysis of high-performance handball players' perceived motivational climate: Implications on motivation, implicit beliefs of ability and intention to be physically active

2019 ◽  
Vol 14 (4) ◽  
pp. 541-551 ◽  
Author(s):  
Manuel Gómez-López ◽  
Juan Andrés Merino-Barrero ◽  
David Manzano-Sánchez ◽  
Alfonso Valero-Valenzuela
Keyword(s):  
Cluster Analysis ◽  
High Performance ◽  
Extrinsic Motivation ◽  
Hierarchical Cluster ◽  
Motivational Climate ◽  
Motivational Orientation ◽  
Implicit Beliefs ◽  
Physically Active ◽  
Athletic Ability ◽  
Perceived Motivational Climate

The aims of this study were to uncover the different motivational climate profiles to compare differences on their implicit beliefs of sports ability, motivational orientation, and intention to be physically active, and finally to analyse the relationship of the gender with motivational climate profiles, in a large sample of high-performance handball players in Spain. A total of 444 (233 males, 211 females) high-performance handball players agreed to participate. They completed a questionnaire that included the Spanish validated versions of Perceived Motivational Climate in Sport Questionnaire, Conceptions of the Nature of Athletic Ability Questionnaire-2, Sport Motivation Scale and Intention to be Physically Active Questionnaire. A hierarchical cluster analysis uncovered two independent motivational climate profiles that were confirmed by a K-Means cluster analysis: “mastery climate” and “performance climate”. The results revealed that the mastery climate profile comprised players with less amotivation and higher scores in both incremental ability belief and greater intention to be physically active, and more women than men. By contrast, the performance climate profile comprised players with higher scores in extrinsic motivation and amotivation, both entity ability belief, lower intention to be physically active and primarily men. The importance of the coach in creating a mastery climate that fosters athletes' engagement was confirmed.

scholarly journals Assessment of surface water quality using hierarchical cluster analysis

2016 ◽  
Vol 5 (1) ◽  
pp. 32-44 ◽  
Author(s):  
Dheeraj Kumar Dabgerwal ◽  
Shailendra Kumar Tripathi
Keyword(s):  
Water Quality ◽  
Cluster Analysis ◽  
Correlation Analysis ◽  
Hierarchical Cluster Analysis ◽  
Pearson Correlation ◽  
Surface Water Quality ◽  
Hierarchical Cluster ◽  
Total Alkalinity ◽  
Water Parameters ◽  
Sources Of Pollution

This study was carried out to assess the physicochemical quality river Varuna inVaranasi,India. Water samples were collected from 10 sites during January-June 2015. Pearson correlation analysis was used to assess the direction and strength of relationship between physicochemical parameters. Hierarchical Cluster analysis was also performed to determine the sources of pollution in the river Varuna. The result showed quite high value of DO, Nitrate, BOD, COD and Total Alkalinity, above the BIS permissible limit. The results of correlation analysis identified key water parameters as pH, electrical conductivity, total alkalinity and nitrate, which influence the concentration of other water parameters. Cluster analysis identified three major clusters of sampling sites out of total 10 sites, according to the similarity in water quality. This study illustrated the usefulness of correlation and cluster analysis for getting better information about the river water quality.International Journal of Environment Vol. 5 (1) 2016,  pp: 32-44

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

An investigation on conceptual understanding about cosmology

2019 ◽  
Vol 15 (S367) ◽  
pp. 397-399
Author(s):  
Arturo Colantonio ◽  
Irene Marzoli ◽  
Italo Testa ◽  
Emanuella Puddu
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
High School Students ◽  
Conceptual Understanding ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Content Area ◽  
School Students ◽  
Convenience Sample ◽  
Teaching Activities

AbstractIn this study, we identify patterns among students beliefs and ideas in cosmology, in order to frame meaningful and more effective teaching activities in this amazing content area. We involve a convenience sample of 432 high school students. We analyze students’ responses to an open-ended questionnaire with a non-hierarchical cluster analysis using the k-means algorithm.

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