Depression study with canonical correlation analysis

The purpose of this study is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be...

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Main Author:	Kamaruzaman, Izzat Fakhruddin
Format:	Thesis
Published:	2014
Subjects:	QA Mathematics
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id	my-utm-ep.48392
record_format	uketd_dc
spelling	my-utm-ep.483922017-08-02T04:09:40Z Depression study with canonical correlation analysis 2014 Kamaruzaman, Izzat Fakhruddin QA Mathematics The purpose of this study is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be quite easily conceptualized as a method associated with the more widely understood Pearson r correlation coefficient. An understanding of CCA can lead to a more global appreciation of other univariate and multivariate methods in the GLM. We investigate the relationships between the demographic variables and general health variables and want to know (in terms of degree and directionality) what demographic variables were related to what general health variables in this multivariate analysis. The data presented here are from a subset of 294 observations randomly selected from the original 1000 respondents sampled in Los Angeles. In the present study, no very high correlations within a set existed and we found that variable age and education greatly influenced the dependent variables compared to the other. We seek to demonstrate CCA with basic language, using technical terminology only when necessary for understanding and use of the method. We present an entire example of a CCA analysis using SPSS(Version 20.0) 2014 Thesis http://eprints.utm.my/id/eprint/48392/ masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA Mathematics
spellingShingle	QA Mathematics Kamaruzaman, Izzat Fakhruddin Depression study with canonical correlation analysis
description	The purpose of this study is to reduce potential statistical barriers and open doors to canonical correlation analysis (CCA) for applied behavioral scientists and personality researchers. CCA was selected for discussion, as it represents the highest level of the general linear model (GLM) and can be quite easily conceptualized as a method associated with the more widely understood Pearson r correlation coefficient. An understanding of CCA can lead to a more global appreciation of other univariate and multivariate methods in the GLM. We investigate the relationships between the demographic variables and general health variables and want to know (in terms of degree and directionality) what demographic variables were related to what general health variables in this multivariate analysis. The data presented here are from a subset of 294 observations randomly selected from the original 1000 respondents sampled in Los Angeles. In the present study, no very high correlations within a set existed and we found that variable age and education greatly influenced the dependent variables compared to the other. We seek to demonstrate CCA with basic language, using technical terminology only when necessary for understanding and use of the method. We present an entire example of a CCA analysis using SPSS(Version 20.0)
format	Thesis
qualification_level	Master's degree
author	Kamaruzaman, Izzat Fakhruddin
author_facet	Kamaruzaman, Izzat Fakhruddin
author_sort	Kamaruzaman, Izzat Fakhruddin
title	Depression study with canonical correlation analysis
title_short	Depression study with canonical correlation analysis
title_full	Depression study with canonical correlation analysis
title_fullStr	Depression study with canonical correlation analysis
title_full_unstemmed	Depression study with canonical correlation analysis
title_sort	depression study with canonical correlation analysis
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2014
_version_	1747817379077816320

Depression study with canonical correlation analysis

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