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

This study assesses the pre-service teachers' self-reported future intentions to use technology in Singapore and Malaysia. A survey was employed to validate items from past research. Using the Technology Acceptance Model (TAM) as a research framework, 495 pre-service teachers from Singapore and Malaysia responded to an 11-item questionnaires containing four constructs: intention to use (ITU), attitude towards computer use (ATCU), perceived usefulness (PU), and perceived ease of use (PEU). Structural equation modelling (SEM) was employed as the main method of analysis in this study. A multi-group analysis of invariance was performed on the two samples. The results show that configural and metric invariance were fully supported while scalar and factor variance invariance were partially supported, suggesting that the 11-item measure of the TAM may be robust across cultures and that the factor loading pattern and factor loadings appeared to be equivalent across the cultures examined. While all the paths in the structural model were significant, the variance accounted for in the dependent variable (ITU) was much larger in the Malaysian sample relative to the Singaporean sample.

[1]  A. Yuen,et al.  Gender Differences in Teacher Computer Acceptance. , 2002 .

[2]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[3]  Nitish Singh,et al.  Understanding international web site usage , 2006 .

[4]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[5]  Timothy Teo,et al.  Modelling technology acceptance in education: A study of pre-service teachers , 2009, Comput. Educ..

[6]  Herbert W. Marsh,et al.  Public/Catholic Differences in the High School and Beyond Data: A Multigroup Structural Equation Modeling Approach to Testing Mean Differences , 1990 .

[7]  Rachelle S. Heller,et al.  American and Soviet Children's Attitudes toward Computers , 1992 .

[8]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[9]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[10]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[11]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[12]  J DollWilliam,et al.  A multi-group analysis of structural invariance , 2005 .

[13]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[14]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[15]  W. Meredith Measurement invariance, factor analysis and factorial invariance , 1993 .

[16]  William Sugar,et al.  Examining Teachers' Decisions To Adopt New Technology , 2004, J. Educ. Technol. Soc..

[17]  LegrisPaul,et al.  Why do people use information technology , 2003 .

[18]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[19]  Gill Kirkup,et al.  Gender and cultural differences in Internet use: A study of China and the UK , 2007, Comput. Educ..

[20]  E. Kevin Kelloway,et al.  Structural equation modelling in perspective. , 1995 .

[21]  Timothy Teo,et al.  A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context , 2010, Interact. Learn. Environ..

[22]  R. Vandenberg,et al.  A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .

[23]  William J. Doll,et al.  A multi-group analysis of structural invariance: an illustration using the technology acceptance model , 2005, Inf. Manag..

[24]  S. West,et al.  The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. , 1996 .

[25]  G. Bohrnstedt,et al.  Social Measurement: Current Issues , 1981 .

[26]  James B. Schreiber,et al.  Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review , 2006 .

[27]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

[28]  M. Prensky Digital Natives, Digital Immigrants Part 1 , 2001 .

[29]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[30]  Nai Li,et al.  Cross-Cultural Comparison of Women Students' Attitudes Toward the Internet and Usage: China and the United Kingdom , 2001, Cyberpsychology Behav. Soc. Netw..

[31]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[32]  Honglei Li,et al.  Technology acceptance model for internet banking: an invariance analysis , 2005, Inf. Manag..

[33]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[34]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[35]  R. Kline Principles and practice of structural equation modeling, 2nd ed. , 2005 .

[36]  Yuan Gao,et al.  Applying the Technology Acceptance Model to Educational Hypermedia: A Field Study , 2005 .

[37]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[38]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[39]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[40]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[41]  Sehee Hong,et al.  Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample , 2003 .

[42]  Michael T. Brannick,et al.  Critical comments on applying covariance structure modeling , 1995 .

[43]  Timothy Teo,et al.  Attitudes toward computers: A study of post-secondary students in Singapore , 2006, Interact. Learn. Environ..

[44]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[45]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[46]  M. Prensky Digital Natives, Digital Immigrants , 2001 .

[47]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[48]  Timothy Teo,et al.  Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model , 2007, J. Comput. Assist. Learn..

[49]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[50]  T. Teo Pre-Service Teachers' Attitudes towards Computer Use: A Singapore Survey. , 2008 .

[51]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[52]  Betty Collis,et al.  Designing for Differences: Cultural Issues in the Design of WWW-Based Course-Support Sites , 1999, Br. J. Educ. Technol..

[53]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[54]  M. Omar Attitudes of college students towards computers: A comparative study in the United States and the Middle East , 1992 .

[55]  Judy Drennan,et al.  Factors Affecting Student Attitudes Toward Flexible Online Learning in Management Education , 2005 .

[56]  A. Athiyaman Internet users’ intention to purchase air travel online: an empirical investigation , 2002 .

[57]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[58]  D. Larcker,et al.  PERCEIVED USEFULNESS OF INFORMATION: A PSYCHOMETRIC EXAMINATION* , 1980 .

[59]  W. M. Cheung,et al.  An investigation of commercial usage of the World Wide Web: a picture from Singapore , 2002, Int. J. Inf. Manag..

[60]  Annemarie Hauf,et al.  Computers in education , 1983 .

[61]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[62]  M. Prensky Do They Really Think Differently , 2001 .

[63]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..