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.

Structure of the Coolidge Axis II Inventory Personality Disorder Scales from the Five-Factor Model Perspective

1998 ◽  
Vol 83 (3) ◽  
pp. 947-952 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
J. Patrick Sharpe
Keyword(s):  
Correlation Analysis ◽  
Personality Disorders ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Simple Structure ◽  
Factor Model ◽  
Five Factor Model ◽  
Canonical Variate ◽  
Axis Ii ◽  
Canonical Variates

Coolidge, et al. in 1994 tested the generality and comprehensiveness of the five-factor model of personality as applied to personality disorders by performing a canonical correlation analysis for the scales from the Coolidge Axis II Inventory and the NEO Personality Inventory testing 178 undergraduates (106 men and 72 women). Their results did not support the generality and comprehensiveness of the five-factor model for interpreting the structure of personality disorders. A major problem with this study was that the data did not show good simple structure and meaningfulness because no rotation was performed for the canonical variates. The present study tested the hypothesis that the results of Coolidge, et al. might be attributed to the failure to rotate canonical variates to obtain good simple structure. For 220 students in introductory psychology (104 men and 116 women), canonical correlation analysis with varimax rotation was performed for scores on the Coolidge Axis II Inventory scales and the NEO Five-Factor Inventory scales. The analysis indicated five canonical variate pairs which were interpreted as Neuroticism, Extraversion, Openness, Disagreeableness, and Conscientiousness, supporting the tested hypothesis as well as the generality and comprehensiveness of this model for describing the structure of personality disorders.

scholarly journals Multiple Criteria Evaluation of the EU Country Sustainable Construction Industry Lifecycles

2020 ◽  
Vol 10 (11) ◽  
pp. 3733
Author(s):  
Arturas Kaklauskas ◽  
Edmundas Kazimieras Zavadskas ◽  
Arune Binkyte-Veliene ◽  
Agne Kuzminske ◽  
Justas Cerkauskas ◽  
...  
Keyword(s):  
Well Being ◽  
Multiple Criteria ◽  
Macro Level ◽  
Sustainable Construction ◽  
Negative Consequences ◽  
Decision Matrix ◽  
Member States ◽  
Eu Member States ◽  
The Uk ◽  
The Eu

This article looks at the trends and success of the sustainable construction industries in the EU member states, the UK and Norway. The research, covering the past three decades, revealed that different quality of life, macroeconomic, human development, construction and well-being factors define the sustainable construction industries in the EU member states, the UK and Norway. A multiple criteria decision matrix was created and analysed to look at the EU member countries, the UK and Norway from the perspective of their macro level environment and construction industries. Assessments of the sustainable construction industries were completed by using the COmplex PRoportional Assessment (COPRAS) and Degree of Project Utility and Investment Value Assessments (INVAR), two analysis methods. A look was taken at the dependencies linking the indicators related to the construction industries and macro level in the EU member countries, the UK and Norway. Then, the multiple criteria analysis of the construction industry’s utility degree and performances were completed, and recommendations were generated. A country’s perceived image and success can influence the economic behaviour of consumers. By and large, advanced and successful countries rarely become associated with a negative national image and their products and services rarely suffer negative consequences due to such association. This research, then, offers findings that can assist potential buyers in more rational decision-making when choosing of products and services based on a country of origin.

scholarly journals Exploring the relationship between two compositions using canonical correlation analysis

2016 ◽  
Vol 13 (2) ◽  
Author(s):  
Glòria Mateu-Figueras ◽  
Josep Daunis-i-Estadella ◽  
Germà Coenders ◽  
Berta Ferrer-Rosell ◽  
Ricard Serlavós ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Learning Style ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Compositional Data ◽  
The Other ◽  
Compositional Data Analysis ◽  
Maximum Correlation ◽  
Canonical Variates ◽  
Log Ratio

The aim of this article is to describe a method for relating two compositions which combines compositional data analysis and canonical correlation analysis (CCA), and to examine its main statistical properties. We use additive log-ratio (alr) transformation on both compositions and apply standard CCA to the transformed data. We show that canonical variates are themselves log-ratios and log-contrasts. The first pair of canonical variates can be interpreted as the log-contrast of a composition that has the maximum correlation with a log-contrast of the other composition. The second pair can be interpreted as the log-contrast of a composition that has the maximum correlation with a log-contrast of the other composition, under the restriction that they are uncorrelated with the first pair, and so on. Using properties from changes of basis, we prove that both canonical correlations and canonical variates are invariant to the choice of divisors in alr transformation. We show how to implement the analysis and interpret the results by means of an illustration from the social sciences field using data from Kolb's Learning Style Inventory and Boyatzis' Philosophical Orientation Questionnaire, which distribute a fixed total score among several learning modes and philosophical orientations.

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.

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.

scholarly journals Evaluating Relations between Originality, Efficiency, Conformism and Entrepreneurial Potential of Students in a Fast Changing Business Environment

2021 ◽  
Vol 13 (4) ◽  
pp. 1593
Author(s):  
Mia Maric ◽  
Mladen Subotic ◽  
Branislav Dudic ◽  
Boban Melovic ◽  
Natasa Brankovic ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Potential Model ◽  
Business Environment ◽  
Significant Relation ◽  
Policy Makers ◽  
Strong Relation ◽  
Eu Candidate Countries ◽  
The Eu

The purpose of this paper is to evaluate the relations of originality, efficiency, conformism, and entrepreneurial potential. The sample consisted of a student population from Serbia and Bosnia and Herzegovina as EU candidate countries and from the EU member country, Belgium. Research results can help policy makers receive valuable information on how to improve student attitude towards entrepreneurship. Data was collected from a sample of 1008 university students from these three countries. The Kirton Adaptation Innovation Inventory (KAI), Questionnaire on Entrepreneurial Traits (QET), and The Scale of Entrepreneurial Potential (SEP) were applied in the research in order to obtain data. Canonical correlation analysis revealed a significantly strong relation between originality, efficiency, conformism, and dimensions of the Entrepreneurial Traits model, as well as significant relation to the entrepreneurial potential model. Findings from this study may provide data that could be used to develop and foster the entrepreneurship potential of students and help improve the economy in the region.

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.

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