UPSI Digital Repository (UDRep)
|
UPSI Digital Repository (UDRep)
|
|
|
| ||||||||||||||||||||||||||
| Abstract : Universiti Pendidikan Sultan Idris |
| This study aimed to validate the instrument for Successful Person on Quality of Early Childhood and Care Education (ECCE). The validation of the constructs was carried out in two phases, firstly, using the Rasch Measurement Model (RMM) and secondly using the Confirmatory Factor Analysis (CfA). The RMM to determined validity, reliability, polarity and fitness of the items and CFA for measurement model by using Win steps software and AMOS. Results from the RMM analysis showed that the reliability and separation of the items and the persons are high. Polarity of the items show that there were 26 items that measured other constructs, and the items were dropped and retained 67 items. Meanwhile, from CFA the measurement model was fitted and accepted; Chi-square/df =2.04 (.90), and PNFI=.84 (>.50). In the regard, the scale was successful for psychometric standard, valid, reliable and stable. ? 2021. All Rights Reserved. |
| References |
Achievement in chile. (0000). Early Childhood Research Quarterly, 32, 13-22. Retrieved from www.scopus.com Barnett, W. S. (2007). Benefits and costs of quality early childhood education. Legal Rights Journal, 27(1), 7-23. Retrieved from www.scopus.com Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. doi:10.1037/0033-2909.107.2.238 Bond, T. G., & Fox, C. M. (2007). Applying the Rasch Model: Fundamental Measurement in the Human Sciences, 3, 40-48. Retrieved from www.scopus.com Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Retrieved from www.scopus.com Cortázar, A. (2015). Long-Term Effects of Public Early Childhood Education on Academic, Retrieved from www.scopus.com Fisher, W. P. (2007). Rating scale instrument quality criteria. Rasch Measurement Transactions, 21(1) Retrieved from www.scopus.com Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis, Retrieved from www.scopus.com Hatcher, L. (1994). A Step-by-Step Approach to using the SAS System for Factor Analysis and Structural Equation Modeling, Retrieved from www.scopus.com Hu, L. -., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. doi:10.1080/10705519909540118 Kline, R. B. (1998). Principles and practice of structural equation modeling. Principles and Practice of Structural Equation Modeling, Retrieved from www.scopus.com Linacre, J. M. (2009). WINSTEPS® Rasch Measurement Computer Program, Retrieved from www.scopus.com Linacre, J. M. (2004). Test validity and rasch measurement: Construct, content, etc. Rasch Measurement Transactions, 18(1), 970-971. Retrieved from www.scopus.com Pallant, J. F., & Tennant, A. (2007). An introduction to the rasch measurement model: An example using the hospital anxiety and depression scale (HADS). British Journal of Clinical Psychology, 46(1), 1-18. doi:10.1348/014466506X96931 Schumacker, R. E., & Lomax, R. G. (1996). A Beginner's Guide to Structural Equation Modeling, Retrieved from www.scopus.com Tabachnick, B. G., & Fidell, L. S. (1996). Using Multivariate Statistics, Retrieved from www.scopus.com |
| This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |