Estimating the Determinant Factors to Satisfaction of TASKA Services in Malaysia

Authors

  • Ku Faridah Ku Ibrahim School of Education & Humanities, Universiti Tun Abdul Razak, (UNIRAZAK), Malaysia
  • Azrul Fazwan Kharuddin Graduate School of Business, Universiti Tun Abdul Razak, (UNIRAZAK), Malaysia

Keywords:

Structural Equation Modeling, Multiple Regression, Confirmatory Factor Analysis

Abstract

This research shows the application of the Structured Equation Modeling (SEM) to obtain the best model for studying the relationship between the more efficient and accurate against the findings and the interpretation of the variables. For the purpose of this study, the main data of the survey has been used. A total of 61 TASKA were investigated around the East Coast of Malaysia and the responses from 273 parents/guardians were collected. Multiple linear regression and factors analysis is used to obtain the best SEM model. Analysis found that the combination of three mediators (facilities, cleanliness and safety) constitutes a strong association to estimate a complete structured equation model while supported by demographic factors such as education level, occupation, location, distance, medium of language used, fees and age of children to strengthen the TASKA selection factor.

References

Anderson, James C. and David W. Gerbing (1982), "Some Methods for Respecifying Measurement Models To Obtain Unidimensional Construct Measurement," Journal of Marketing Research, 19 (November), 453-460.

Anderson, JC, & Gerbing, DW (1988). Structural Equation Modeling In Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103 (3), 411-423.

Baron, RM, & Kenny, DA (1986). The Moderator-Mediator Variable Distinction In Social Psychological Research: Conceptual, Strategic, And Statistical Considerations. Journal of Personality and Social Psychology, 51 (6), 1173-1182.

Bentler, PM & Bonett, DG (1980). Significance Tests And Goodness Of Fit In The Analysis Of Covariance Structures. Psychological Bulletin. 88: 588-606.

Bentler, PM (1990). Comparative fit indexes in structural models. Psychological Bulletin 107: 238- 246.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage focus editions, 154, 136-136.

Hair, JF, Black, WC, Babin, BJ, Anderson, RE and Tatham, RL (2006). Multivariate Data Analysis. 6th edition. Upper Saddle River, New Jersey: Prentice Hall.

Hu, L. & Bentler, PM (1999). Cut Off Criteria For Fit Indexes In Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling, 6 (1), 1-55.

Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self- concept: First-and higher order factor models and their invariance across groups. Psychological bulletin, 97(3), 562. Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological methodology, 8, 84-136.

Zainudin, A. (2012). Research Methodology And Data Analysis 5th Edition. Shah Alam: Universiti Teknologi MARA Publication Center (UiTM Press).

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Published

18-04-2023

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Articles