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Anthropometric data reduction using confirmatory factor analysis

OBJECTIVE: The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facil...

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Main Authors: Adeyemi, Ademola James, Mohd. Rohani, Jafri, Olusegun, Akanbi Gabriel, Abdul Rani, Mat Rebi
Format: Article
Published: IOS Press 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/51870/
http://dx.doi.org/10.3233/WOR-121530
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spelling my.utm.518702018-11-09T08:11:29Z http://eprints.utm.my/id/eprint/51870/ Anthropometric data reduction using confirmatory factor analysis Adeyemi, Ademola James Mohd. Rohani, Jafri Olusegun, Akanbi Gabriel Abdul Rani, Mat Rebi TJ Mechanical engineering and machinery OBJECTIVE: The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facilities unfit for the users. The purpose of this paper is to use factor analysis to investigate the suitability of the collected anthropometric data as a database for school design in Nigerian tertiary institutions. PARTICIPANTS: Anthropometric data were collected from 288 male students in a Federal Polytechnic in North-West of Nigeria. Their age is between 18-25 years. METHODS: Nine vertical anthropometric dimensions related to heights were collected using the conventional traditional equipment. Exploratory factor analysis was used to categorize the variables into a model consisting of two factors. Thereafter, confirmatory factor analysis was used to investigate the fit of the data to the proposed model. RESULTS: A just identified model, made of two factors, each with three variables was developed. The variables within the model accounted for 81% of the total variation of the entire data. The model was found to demonstrate adequate validity and reliability. Various measuring indices were used to verify that the model fits the data properly. The final model reveals that stature height and eye height sitting were the most stable variables for designs that have to do with standing and sitting construct. CONCLUSION: The study has shown the application of factor analysis in anthropometric data analysis. The study highlighted the relevance of these statistical tools to investigate variability among anthropometric data involving diverse population, which has not been widely used for analyzing previous anthropometric data. The collected data is therefore suitable for use while designing for Nigerian students IOS Press 2014 Article PeerReviewed Adeyemi, Ademola James and Mohd. Rohani, Jafri and Olusegun, Akanbi Gabriel and Abdul Rani, Mat Rebi (2014) Anthropometric data reduction using confirmatory factor analysis. Work-A Journal of Prevention Assessment & Rehabilitation, 47 (2). pp. 173-181. ISSN 1051-9815 http://dx.doi.org/10.3233/WOR-121530
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Adeyemi, Ademola James
Mohd. Rohani, Jafri
Olusegun, Akanbi Gabriel
Abdul Rani, Mat Rebi
Anthropometric data reduction using confirmatory factor analysis
description OBJECTIVE: The unavailability of anthropometric data especially in developing countries has remained a limiting factor towards the design of learning facilities with sufficient ergonomic consideration. Attempts to use anthropometric data from developed countries have led to provision of school facilities unfit for the users. The purpose of this paper is to use factor analysis to investigate the suitability of the collected anthropometric data as a database for school design in Nigerian tertiary institutions. PARTICIPANTS: Anthropometric data were collected from 288 male students in a Federal Polytechnic in North-West of Nigeria. Their age is between 18-25 years. METHODS: Nine vertical anthropometric dimensions related to heights were collected using the conventional traditional equipment. Exploratory factor analysis was used to categorize the variables into a model consisting of two factors. Thereafter, confirmatory factor analysis was used to investigate the fit of the data to the proposed model. RESULTS: A just identified model, made of two factors, each with three variables was developed. The variables within the model accounted for 81% of the total variation of the entire data. The model was found to demonstrate adequate validity and reliability. Various measuring indices were used to verify that the model fits the data properly. The final model reveals that stature height and eye height sitting were the most stable variables for designs that have to do with standing and sitting construct. CONCLUSION: The study has shown the application of factor analysis in anthropometric data analysis. The study highlighted the relevance of these statistical tools to investigate variability among anthropometric data involving diverse population, which has not been widely used for analyzing previous anthropometric data. The collected data is therefore suitable for use while designing for Nigerian students
format Article
author Adeyemi, Ademola James
Mohd. Rohani, Jafri
Olusegun, Akanbi Gabriel
Abdul Rani, Mat Rebi
author_facet Adeyemi, Ademola James
Mohd. Rohani, Jafri
Olusegun, Akanbi Gabriel
Abdul Rani, Mat Rebi
author_sort Adeyemi, Ademola James
title Anthropometric data reduction using confirmatory factor analysis
title_short Anthropometric data reduction using confirmatory factor analysis
title_full Anthropometric data reduction using confirmatory factor analysis
title_fullStr Anthropometric data reduction using confirmatory factor analysis
title_full_unstemmed Anthropometric data reduction using confirmatory factor analysis
title_sort anthropometric data reduction using confirmatory factor analysis
publisher IOS Press
publishDate 2014
url http://eprints.utm.my/id/eprint/51870/
http://dx.doi.org/10.3233/WOR-121530
_version_ 1643653086080663552
score 13.211869

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