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Gender differences in the intention to use technology: A measurement invariance analysis

Teo, T.ORCID: 0000-0002-7552-8497 (2010) Gender differences in the intention to use technology: A measurement invariance analysis. British Journal of Educational Technology, 41 (6). E120-E123.

Link to Published Version: https://doi.org/10.1111/j.1467-8535.2009.01023.x
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Abstract

A method of preventing flawed between-group comparisons is to test for measurement invariance (MI), which refers to the consistency of measurement across a specified group differentiation. Between-group comparisons without first testing for measurement equivalence is found to lead to invalid interpretations based on data that are attributed to chance. Establishing MI involves tests such as configural invariance, metric invariance, scalar invariance, and error invariance. A case study included 236 university students responding to a 5-point likert scale questionnaire comprising 17 items measuring six constructs that were drawn from the Technology Acceptance Model and the Theory of Planned Behavior. The results showed that full configural, full metric, partial scalar invariance, and full error variance invariance were achieved, suggesting that the 17-item measure may be robust and meaningful comparisons may be made across genders.

Item Type: Journal Article
Publisher: Wiley
Copyright: © 2010 The Author. British Journal of Educational Technology © 2010 Becta
URI: http://researchrepository.murdoch.edu.au/id/eprint/48612
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