Determinants of consumption of people aged 70 and more

The purpose of this article is to indicate the hierarchy of factors determining consumption in households of people aged 70 and more. Material consisted of data from a study of household budgets survey for 2012. The present study used the method of canonical correlation analysis. The most important determinants of expenditure in households of people aged 70 and more have proven to be disposable income per capita and the size of the household. More spending on alcoholic beverages and tobacco products were characterized by households in which the head of the household was a man. In households located in rural areas and run by people with primary education reported less spending on services such as communications, recreation and culture.

Download Full-text

Canonical Correlation Analysis Between Residents’ Living Standards and Community Management Service Levels in Rural Areas: An Empirical Analysis Based on Municipal Data in Anhui Province

Computational Economics ◽

10.1007/s10614-017-9791-4 ◽

2018 ◽

Vol 52 (4) ◽

pp. 1053-1068 ◽

Cited By ~ 1

Author(s):

Deyou Chen ◽

Lei Wang ◽

Tao Su ◽

Youtao Zhang

Keyword(s):

Correlation Analysis ◽

Empirical Analysis ◽

Canonical Correlation Analysis ◽

Rural Areas ◽

Canonical Correlation ◽

Anhui Province ◽

Living Standards ◽

Community Management ◽

Management Service ◽

Service Levels

Download Full-text

Examining beliefs of preservice teachers about self-competency and lifelong learning competency via canonical correlation analysis

Cypriot Journal of Educational Sciences ◽

10.18844/cjes.v13i2.3232 ◽

2018 ◽

Vol 13 (2) ◽

pp. 227-239

Author(s):

Gulenaz Selcuk ◽

Serhat Aydın ◽

Altan Cakmak

Keyword(s):

Social Sciences ◽

Preservice Teachers ◽

Science Education ◽

Correlation Analysis ◽

Lifelong Learning ◽

Primary Education ◽

Canonical Correlation Analysis ◽

Effect Size ◽

Canonical Correlation ◽

Learning Beliefs

This study investigates canonical correlation between preservice teachers’ lifelong learning beliefs and self-competency beliefs. Canonical correlation analysis is a sophisticated tool which has the capacity to explain the relationships between two sets of variables (Tatlıdil, 1996). For this aim, lifelong learning and self-competency beliefs of 1242 preservice teachers in Turkey from four different departments, i.e. i.) Turkish Education, ii) Social Sciences Education, iii) Primary Education and iv) Science Education were determined. The data were analyzed using the SPSS 22 program. The findings of the study demonstrated that there is a significant canonical correlation between self-competency beliefs and lifelong learning competency beliefs with an effect size of 44%. In conclusion, self-competency beliefs predict lifelong learning competency beliefs. All dimensions of self-competency beliefs are powerful predictors of lifelong learning competency beliefs. Keywords: Preservice teachers, self-comptence beliefs, lifelong learning competency beliefs, canonical correlation.

Download Full-text

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

Methods of Information in Medicine ◽

10.1055/s-0038-1635359 ◽

1985 ◽

Vol 24 (02) ◽

pp. 91-100 ◽

Cited By ~ 3

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.

Download Full-text