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Anthropometric data reduction using confirmatory factor analysis.

, Jafri Mohd Rohani¹, Akanbi Gabriel Olusegun²

¹Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia.

Work (Reading, Mass.)

|January 18, 2013

Summary

This study validates anthropometric data for Nigerian school design using factor analysis. The findings confirm the data

Keywords:

Exploratory factor analysis measurement model school ergonomics

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Area of Science:

Ergonomics
Anthropometry
Educational Facility Design

Background:

Lack of localized anthropometric data hinders ergonomic school design in developing nations.
Existing data from developed countries is often unsuitable for diverse populations.
This study addresses the need for relevant anthropometric databases for Nigerian tertiary institutions.

Purpose of the Study:

To apply factor analysis to anthropometric data collected from Nigerian students.
To determine the suitability of this data as a reliable database for school facility design.
To investigate the variability within anthropometric measurements for improved design considerations.

Main Methods:

Collected anthropometric data from 288 male Nigerian students (ages 18-25).
Measured nine vertical height-related dimensions using traditional equipment.
Employed exploratory and confirmatory factor analysis to develop and validate a two-factor model.

Main Results:

A two-factor model, explaining 81% of data variation, was developed with adequate validity and reliability.
Factor analysis successfully categorized anthropometric variables.
Stature height and eye height sitting emerged as key variables for standing and sitting designs.

Conclusions:

Factor analysis is a relevant statistical tool for analyzing anthropometric data in diverse populations.
The collected anthropometric data is suitable for designing school facilities for Nigerian students.
This research provides a foundation for evidence-based ergonomic design in educational settings.