scholarly journals Relationships Between the Coach-Created Motivational Climate and Athlete Engagement in Youth Sport

2015 ◽  
Vol 37 (2) ◽  
pp. 193-198 ◽  
Author(s):  
Thomas Curran ◽  
Andrew P. Hill ◽  
Howard K. Hall ◽  
Gareth E. Jowett
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Youth Sport ◽  
Well Being ◽  
Motivational Climate ◽  
Soccer Players ◽  
Positive Experiences ◽  
Coach Behaviors ◽  
A Performance

Youth sport is a source of well-being for adolescents, yet experiences vary and attrition can be high. We sought to better understand the coach behaviors that foster positive experiences in youth sport by examining relationships between the motivational climate and athlete engagement (viz., confidence, dedication, enthusiasm, and vigor). We reasoned that a mastery climate (emphasis on effort and learning) would correspond with higher engagement, whereas a performance climate (emphasis on ability and outcome) was expected to correspond with lower engagement. Two-hundred sixty adolescent soccer players completed measures of engagement and perceived coach motivational climate. All dimensions of engagement were positively predicted by a mastery climate. Furthermore, cognitive aspects of engagement were positively predicted by a performance climate. Canonical correlation analysis indicated that a composite of engagement was positively associated with a mastery climate. Results suggest that a mastery climate offers a means of promoting higher levels of overall engagement.

Life skills and subjective well-being of people with disabilities: a canonical correlation analysis

2004 ◽  
Vol 27 (4) ◽  
pp. 331-334 ◽  
Author(s):  
Elizabeth da Silva Cardoso ◽  
Kacie Blalock ◽  
Chase A. Allen ◽  
Fong Chan ◽  
Stanford E. Rubin
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Life Skills ◽  
People With Disabilities ◽  
Well Being ◽  
Subjective Well Being

scholarly journals A Multidimensional Approach to Competitiveness, Innovation and Well-Being in the EU Using Canonical Correlation Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 5-21
Author(s):  
Ane-Mari Androniceanu ◽  
Jani Kinnunen ◽  
Irina Georgescu ◽  
Armenia Androniceanu
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Well Being ◽  
Eu Member States ◽  
Canonical Variates ◽  
Main Factors ◽  
The Uk ◽  
National Governments ◽  
The Eu

Achieving a competitive economy and a competitive market generally proceeds from the desire to meet economic and social objectives and it ensures a growing level of social welfare. The objectives of our research are to determine and highlight the bidirectional linear correlations among competitiveness, well-being and innovation and to analyze the main factors that influence these relations. Our research includes the EU member states and the UK using these countries’ specific indicators from the databases of EUROSTAT, the World Economic Forum and the United Nations from 2016-2018. We used Canonical Correlation Analysis to determine a set of canonical variates which represent linear combinations of the variables from each set. The contributions of our research show a direct and strong link among the three pillars of competitiveness, innovation and well-being. This analysis allowed us to identify and analyze the influence of innovation on the economic development and competitiveness of each EU country and on the well-being of its population. Governments and organizations that invest more in research in terms of innovation to increase the competitiveness of their products and services have shown a growing GDP and a higher level of population well-being. This research is representative at the European level and may influence the decisions of national governments and other institutions to encourage innovation through drivers such as R&D expenditures and human resources as the main factors generating economic growth and competitiveness, thus with a direct effect on GDP and on well-being.

Relationships Between Positive Human Traits and PERMA (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishments) in Student Veterans With and Without Disabilities: A Canonical Correlation Analysis

2021 ◽  
Vol 35 (3) ◽  
pp. 238-247
Author(s):  
Emre Umucu ◽  
Beatrice Lee ◽  
Kanako Iwanaga ◽  
Kristin Kosyluk ◽  
John Blake ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Character Strengths ◽  
Well Being ◽  
Building Blocks ◽  
The United States ◽  
Student Veterans ◽  
The Core ◽  
Core Elements

PurposeWe explored the relationships between positive human traits and positive emotions, engagement, relationships, meaning, and achievement (PERMA) the core elements for Seligman's model of happiness and well-being.MethodTwo hundred and five student veterans (147 males and 58 females; 80 with service-related disability) were recruited from several colleges and universities across the United States. Participants completed positive human traits measures on resilience, hope, optimism, attachment, and coping, along with the PERMA Profiler that measures the five core elements of the well-being theory. Correlational techniques and canonical correlation analysis were computed to examine the canonical relationship between positive human traits and PERMA variables.ResultsOverall, the positive human traits set accounted for 37% of the variance in the PERMA set, whereas the PERMA set accounted for 51% of the variance in the positive human traits set.ConclusionsThe research findings suggest that human traits can be conceptualized as building blocks for PERMA, and PERMA are the core elements for happiness and well-being. Importantly, student veterans with disabilities had significantly lower resilience, secure attachment and PERMA scores. Positive psychology interventions to help student veterans, especially students with service-related disabilities, develop character strengths, and PERMA could improve college life adjustment and goal persistence of student veterans.

College Soccer Players’ Perceptions of Coach and Team Efficacy

2018 ◽  
Vol 32 (3) ◽  
pp. 237-243
Author(s):  
Frazer Atkinson ◽  
Sandra E. Short ◽  
Jeffrey Martin
Keyword(s):  
Correlation Analysis ◽  
Collective Efficacy ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Soccer Players ◽  
Coaching Efficacy ◽  
Team Efficacy ◽  
Practical Implications

The authors examined the relationships among athletes’ perceptions of their coaches’ and their team’s efficacy in a sample of 271 college soccer players (M = 19.84 years, SD = 1.42). Athletes’ perceptions of their coaches’ efficacy were assessed using a modified version of the Coaching Efficacy Scale (CES), and perceptions of team efficacy were assessed using the Collective Efficacy Questionnaire for Sport (CEQS). A canonical correlation analysis between the variants formed by the CES subscales and the CEQS subscales was statistically significant, Wilks’s criterion λ = .440, F(20, 883.17) = 12.40, p < .001. Significant canonical loadings indicated that athletes’ perceptions of their coaches’ being confident in their ability to motivate (β = −.78) and provide successful game strategies (β = −.49) to the team were the most predictive of the athletes’ confidence in their team’s ability to prepare (β = −.58), persist (β = −.13), and unite (β = −.36) during competition. The authors provide practical implications for coaches looking to enhance coaching and team efficacy that are linked directly to their findings.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

Sign in / Sign up

Export Citation Format

Share Document