Canonical correlation analysis is the best technique to employ when the research problem has multiple variables. In this paper, we discuss the principle and ...
Score Analysis Based on Data Analysis. Lu Dai, Jie Chen ... Canonical correlation analysis is a statistical tool for analyzing two set of variables.
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What is the application of canonical correlation analysis?
What is canonical correlation analysis of data sets?
What is the use of correlation in data analysis?
What is CCA in data analysis?
In this paper, we discuss the principle and application of canonical correlation analysis in the context of student score analysis. We also applied this ...
Canonical correlation analysis is used to identify and measure the associations among two sets of variables.
Canonical correlation analysis is used to identify and measure the associations among two sets of variables.
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Canonical Correlation Analysis (CCA) was employed to investigate the relationship between mathematics courses and other engineering courses with respect to ...
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The research work adopts the use of Descriptive statistics to verify the normality of the data and Canonical Correlation Analysis to investigate the ...
Feb 1, 2023 · Abstract: The study aims to identify the existing correlations between the two sets of variables by finding the linear combinations of the two ...
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This study was conducted to examine the influence of access to and use of information and communication technology (ICT) on academic achievement and motivation.
Apr 2, 2013 · Canonical correlation analysis (CCA) aims to maximize the usual Pearson product-moment correlation (ie linear correlation coefficient) of the linear ...
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