Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process
IntroductionDepression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions. MethodsRegression, Analysis of Variance (ANO...
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my.um.eprints.385932024-08-30T03:30:39Z http://eprints.um.edu.my/38593/ Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process Mohamed, Nur Anisah Alanzi, Ayed R. A. Azizan, Noor Azlinna Azizan, Suzana Ariff Samsudin, Nadia Jenatabadi, Hashem Salarzadeh Q Science (General) QA Mathematics IntroductionDepression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions. MethodsRegression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications. Results and discussionOutputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables. Frontiers Media 2023-02 Article PeerReviewed Mohamed, Nur Anisah and Alanzi, Ayed R. A. and Azizan, Noor Azlinna and Azizan, Suzana Ariff and Samsudin, Nadia and Jenatabadi, Hashem Salarzadeh (2023) Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process. Frontiers in Psychology, 14. ISSN 1664-1078, DOI https://doi.org/10.3389/fpsyg.2023.1060963 <https://doi.org/10.3389/fpsyg.2023.1060963>. 10.3389/fpsyg.2023.1060963 |
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Q Science (General) QA Mathematics Mohamed, Nur Anisah Alanzi, Ayed R. A. Azizan, Noor Azlinna Azizan, Suzana Ariff Samsudin, Nadia Jenatabadi, Hashem Salarzadeh Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
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IntroductionDepression and obesity are the main threat among women which have been considered by many research scholars in psychology studies. In their analysis for measuring and estimating obesity and depression they were involving statistical functions. MethodsRegression, Analysis of Variance (ANOVA), and in the last two decades Structural Equation Modeling are the most familiar statistical methods among research scholars. Taguchi algorism process is one the statistical methods which mostly have been applying in engineering studies. In this study we are looking at two main objectives. The first one is to introduce Taguchi algorism process and apply it in a case study in psychology area. The second objective is challenging among four statistical techniques include ANOVA, regression, SEM, and Taguchi technique in a same data. To achieve those aims we involved depression and obesity indices with other familiar indicators contain socioeconomic, screen time, sleep time, and usage fitness and nutrition mobile applications. Results and discussionOutputs proved that Taguchi technique is able to analyze some correlations which are not achieved by applying ANOVA, regression, and SEM. Moreover, SEM has a special capability to estimate some hidden correlations which are not possible to evaluate them by using ANOVA, regression, and even Taguchi method. In the last, we found that some correlations are significant by SEM, however, in the same data with regression those correlation were not significant. This paper could be a warning for psychology research scholars to be more careful with involving statistical methods for measuring and estimating of their research variables. |
format |
Article |
author |
Mohamed, Nur Anisah Alanzi, Ayed R. A. Azizan, Noor Azlinna Azizan, Suzana Ariff Samsudin, Nadia Jenatabadi, Hashem Salarzadeh |
author_facet |
Mohamed, Nur Anisah Alanzi, Ayed R. A. Azizan, Noor Azlinna Azizan, Suzana Ariff Samsudin, Nadia Jenatabadi, Hashem Salarzadeh |
author_sort |
Mohamed, Nur Anisah |
title |
Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
title_short |
Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
title_full |
Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
title_fullStr |
Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
title_full_unstemmed |
Evaluation of depression and obesity indices based on applications of ANOVA, regression, structural equation modeling and Taguchi algorithm process |
title_sort |
evaluation of depression and obesity indices based on applications of anova, regression, structural equation modeling and taguchi algorithm process |
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Frontiers Media |
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2023 |
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http://eprints.um.edu.my/38593/ |
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13.19449 |