scholarly journals Canonical Correlation Analysis of Leisure Behavior and Satisfaction of Hearing Impaired College Students in Leisure Industry

CONVERTER ◽  
2021 ◽  
pp. 206-211
Author(s):  
Xin Wei, Ye Yang, Ju Fen Yu
Keyword(s):  
College Students ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Community Organization ◽  
Hearing Impaired ◽  
Leisure Satisfaction ◽  
Positive Effects ◽  
Leisure Behavior ◽  
Leisure Industry

With the transformation of various industries, a series of changes have taken place in the leisure industry. The college students with hearing impairment are a special group, and the quality of leisure life plays a decisive part of their physical and psychological development .In order to understand the relationship between leisure behavior and leisure satisfaction of hearing-impaired college students, 77 hearing-impaired college students from Leshan normal university were sampled by cluster to conduct a questionnaire survey. The results showed that the leisure behavior and leisure satisfaction of the hearing-impaired students were at medium level. Except for the correlation between recreation and health satisfaction, which is not remarkable, there is a significantly positive correlation between each dimension of leisure behavior and leisure satisfaction. The canonical correlation analysis showed that the influence of leisure behavior on leisure satisfaction was greater than that of leisure satisfaction on leisure behavior. Community organization and recreation in leisure behavior had positive effects on cognitive satisfaction.

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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