Abstract
The paper deals with creation a model influence of interest of groups on public policy decision making. The results of the study showed that the use of Likert data is a very important element in research. In this case, it allowed us to understand who influences decision-making. It is worth noting that we obtained quite interesting results based on using the method of principal components and confirmatory factor analyses. The application of existing modeling tools helped us to determine the factor loads and assess the significance of the obtained models for choosing the best appropriate. Confirmatory Factory Analysis is very important approach in determining the influence of stakeholders on public policy decision-making. However, this approach has some limitations, forming data, it is necessary to form groups with an equal number of participants. There is some limitation usage descriptive statistics for discrete data. The authors point out that there is the strong covariance between latent factors Policy and Administrative. This investigation shown that Authorities, Political parties and Domestic business strong legislative influence on formation of state policy and approving of management decisions. On the other hand, Government analytical centers, non-governmental analytical centers, foreign donor organizations, Ukrainian donor organizations, ordinary citizens, participants of street actions executively influence on formation of state policy and approving of management decisions.
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Averkyna, M., Skarbarchuk, O. (2024). Public Policy Decision Making: Confirmatory Factor Analysis. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Advances in Computing Research (ACR’24). ACR 2024. Lecture Notes in Networks and Systems, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-031-56950-0_3
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DOI: https://doi.org/10.1007/978-3-031-56950-0_3
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