Determination of Sample Size for Structural equation model Analysis
Keywords:
Sample Size, Analysis, Structural Equation ModelingAbstract
Structural equation modeling analysis is used to test whether the current empirical data is in line with the theory or not. The test uses the chi-square statistic. The chi-square statistic is related to the number of samples used in the analysis. That is, if there are a large number of samples in the analysis, the chi-square statistic will be large or high as well. This may submit the model analysis to statistical significance or accept the H1 hypothesis. Therefore, when analyzing a structural equation model, the analyst must specify as small a sample as possible. There are many concepts in determining the sample size in the analysis, such as, Structural Equation Model Sample Size Calculator and using the ratio between the sample and the observed variables.
References
Kaiyawan Y. Structural equation modeling: SEM. 3rd ed. Bangkok: Chulalongkorn University Press; 2024.
Soper DS. Structural equation model sample size calculator [Internet]. 2022 [cited 2023 Oct 1]. Available from: http://www.analyticscalculators.com/calculator.aspx?id=89
Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. New Jersey: Pearson Education; 2010.
Soper DS. A-priori sample size calculator for structural equation models [Internet]. 2022 [cited 2023 Oct 1]. Available from: http://www.danielsoper.com/statcalc
Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-91.
Shriyane N. Structural equation modeling. Oxford: Oxford University Press; 2004.
Nunnally JC. Psychometric theory. New York: McGraw-Hill; 1967.
Silverman J, Hughes E, Wienbroer DR. Rules of thumb: a guide for writers. New York: McGraw-Hill; 2022.
Bollen KA. Structural equations with latent variables. New York: John Wiley & Sons; 1989.
Goldstein H. Multilevel models in education and social research. London: Oxford University Press; 1987.
Bentler PM, Chou CP. Practical issues in structural equation modeling. Sociol Methods Res. 1987;16(1):78-117.
Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. 5th ed. London: Prentice Hall; 1998.
Chomeya R, Tayraukham S, Tongkhambanchong S. Sample size determination techniques for structural equation modeling: SEM, Journal of Educational Measurement, Mahasarakham University. 2022;28(2):27-40.
Downloads
Published
How to Cite
License
Copyright (c) 2025 Faculty of Nursing, Chaing Rai College
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของคณะพยาบาลศาสตร์
