CHECKING CONSTRUCT VALIDITY OF COGNITIVE ABILITY TEST SOFTWARE IN SPEED DIMENSION FOR MATHAYOMSUKSA 3 STUDENTS
Article Sidebar
Main Article Content
Abstract
Cognitive skill assessment tools that verified construct validity will measure cognitive skills according to the theories. The purpose of this research was to check the construct validity of cognitive ability test software in the speed dimension. The sample was 1,504 Mathayomsuksa 3 students for validating the cognitive ability test software. Cognitive ability test software was created by the researcher. It consists of the 8 tests for testing attention and testing working memory. Confirmatory factor analysis was used to confirm the constructive validity of the speed dimension. The results confirmed that the constructive validity of these tests an excellent fit. The results show that: the fitness index of validating the cognitive ability test software was as follows: χ2 statistic of 18.811 (degrees of freedom = 11, p= 0.065), and the χ2/df ratio having a value of 1.710 indicates a good fit. The comparative fit index (CFI) is 0.997, and Tucker-Lewis coefficient (TLI) was 0.993, Root mean square error approximation (RMSEA) was 0.022, Standardized Root Mean Residual (SRMR) was 0.016.
Article Details
I and co-author(s) certify that articles of this proposal had not yet been published and is not in the process of publication in journals or other published sources. I and co-author accept the rules of the manuscript consideration. Both agree that the editors have the right to consider and make recommendations to the appropriate source. With this rights offering articles that have been published to Panyapiwat Institute of Management. If there is a claim of copyright infringement on the part of the text or graphics that appear in the article. I and co-author(s) agree on sole responsibility.
References
Apape, M. M., Verdonschot, G. R., Dantzig, V. S. & Steenbergen, V. H. (2014). The E-Primer: An introduction to creating psychological experiments in E-Prime. Netherlands: Leiden University Press.
Baddeley, A. (2018). Exploring Working Memory. New York: Routledge.
Bunterm, T., Ketchatturat, J., Samranjai, J., Methaneethorn, J., Wattanathorn, J., Muchimapura, S., Wannanont, C., Uopsai, S., Srikoon, S. & Veerachairatthana, S. (2014). Developing the software program to measure attention and working memory: Thai version. Khon Kaen: Khon Kaen University. [in Thai]
Buss, A. T. & Kerr-German, A. (2019). Dimensional attention as a mechanism of executive function: Integrating flexibility, selectivity, and stability. Cognition, 192(1), 1-16.
Johnson, R. & Wichern, D. (2014). Applied Multivariate Statistical Analysis (6th ed.). Upper Saddle River, NJ: Pearson.
Kastner, L. (2017). Philosophy of Cognitive Neuroscience. Germany: CPI Book Gmbh, Leck.
Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th ed.). New York: Guilford Publications.
Ministry of Education Thailand. (2017). Policy fiscal year 2017 Office of the Basic Education Commission. Bangkok: Basic Education Commission. [in Thai]
Muthen, K. L. & Muthen, O. B. (2017). Mplus statistical analysis with latent variables User Guided (8th ed.). Los Anges: CA.
Srikoon, S. (2019a). Construct validity of cognitive ability test software in the accuracy dimension. Journal of Education Khon Kaen University, 42(4), 103-117. [in Thai]
Srikoon, S. (2019b). Multiple Group Structural Equation Model Analysis of Student’s Learning Processes based on Educational Neuroscience on Mathematics Learning Outcomes. Master’s thesis, Mahasarakham University. [in Thai]
Srikoon, S., Viriyapong, N. & Chutiman, N. (2018). Examining Construct Validity and Measurement Invariance of Mood across Gender and Grade. Journal of Education Khon Kaen University, 41(1), 17-38. [in Thai]
Srikoon, S., Bunterm, T., Nethanomsak, T. & Ngang, T. K. (2017). A Comparative Study of the Effects of the Neurocognitive-based Model and the Conventional Model on Learner Attention, Working Memory and Mood. Malaysian Journal of Learning and Instruction, 14(1), 83-110.
