Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM)

By Timothy Teo, Chwee Beng Lee, Ching Sing Chai, Su Luan Wong. Comput. Educ., 2009

398 citations recorded by the source corpus.

Subfields: Gender Studies, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bd34f05ba55c4167793f1e11b2232a2bc121e8d6

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In Gender Studies

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, methodology): “Because, however, partial metric invariance suffices to ‘compare the strength of relationships between constructs from one group to another’ (Teo et al., 2009, p. 1002), we proceeded with multigroup comparisons, building on a measurement model with parameters fixed to the results of the measurement…”
Student teachers' thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology (2010, methodology): “Using the Technology Acceptance Model (TAM) as a research framework, a similar research has been carried out with pre-service teachers in an Asian setting ( Teo, Lee, Chai, & Wong, 2009 ).”
The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, background): “Moreover, for two studies that did not report correlation matrices, the authors provided either the raw data (Yusop, 2015) or item-item correlations (Luan & Teo, 2009), so that correlations could be estimated.”
Emotional labor, teacher burnout, and turnover intention in high-school physical education teaching (2017, background): “Specifically, convergent validity was tested though factor loadings, composite reliability, and average variance extracted (AVE) scores (Teo et al., 2009), while discriminant validity was examined by comparing the squared correlation between the variable and associated variables and AVE values…”
The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts (2014, methodology): “significantly different (Teo et al. 2009).”