Proposed Federal State for the Bangsamoro: Level of Acceptance among the Bangsamoro Mujahidin
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Abstract
This study was conducted to determine the level of acceptance among the Bangsamoro mujahidin on the proposed Bangsamoro federal state. Convenient and quota sampling were used among the 120 respondents identified for this study. It is found that most of the participants accepted the proposed federalism of the current government, though having some conditions. The regression analysis result showed that age was negatively correlated with their level of acceptance on the proposed federal state while educational attainment on both secular and Islamic schools was positively correlated with their response to the same provision statement. This study concluded that Bangsamoro mujahidin are now more welcoming to various alternative solutions to the Mindanao conflict within the framework of Philippine territorial integrity.
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References
Abubakar, A. J. (2009). Persistent Themes in the History of Sulu Moros. Islam in Southeast Asia—Transnational Networks and Local Contexts. Tokyo University of Foreign Studies, 119-136.
Abubakar, C. A. (2004). Review of the Mindanao peace processes. Inter-Asia Cultural Studies, 5(3), 450-464. DOI: 10.1080/1464937042000288732.
Azimov, H. Y. (2019). THE PROBLEM OF MORO MUSLIMS. Theoretical & Applied Science, (6), 519-521.
Buendia, R. G. (1989). The Prospects of Federalism in the Philippines: A Challengeto Political Decentralization of the Unitary State. PhilippineJournal ofPublicAdministration,, 33 (2). p. 121-141.
Deanna Schreiber-Gregory, Henry M Jackson Foundation Karlen Bader, Henry M Jackson Foundation. (2018). Logistic and Linear Regression Assumptions: Violation Recognition and Control . SESUG, 1-22.
Gorlinski, V. (n.d.). Maguindanao. Retrieved 01 26, 2021, from Britannica: https://www.britannica.com/topic/Maguindanao-people
Gowing, P. G. (1982). Religion and regional coorperation: the mindanao problem and Asean. Institute of Muslim Minority Affairs. Journal, 4(1-2), 14-23. https://doi.org/10.1080/02666958208715857.
Kuha, J. (2004). AIC and BIC: Comparisons of assumptions and performance. Sociological methods & research, 33(2), 188-229.https://doi.org/10.1177/0049124103262065.
Larntz, K., & Perlman, M. D. . (1985). A simple test for the equality of correlation matrice. Washington: Rapport technique, Department of Statistics, University of Washington.
Long, J. S., & Freese, J. (2000). Scalar measures of fit for regression models. Stata Technical Bulleti, 56, 34-40.
Ludbrook, J. (2010). Linear regression analysis for comparing two measurers or methods of measurement: but which regression? Clinical and Experimental Pharmacology and Physiology,, 37(7), 692-699.
Lumley, T., & Scott, A. . (2015). AIC and BIC for modeling with complex survey data. . Journal of Survey Statistics and Methodology,, 3(1), 1-18.
Magdalena, F. V. (1997). The peace process in Mindanao: Problems and prospects. Southeast Asian Affairs, 245-259.
Majul, C. A. (1965). Political and Historical Notes on the old Sulu Sultanate. Journal of the Malaysian Branch of the Royal Asiatic Society, 28 (1). pp. 23-42. https://www.jstor.org/stable/41491838 .
Montiel, C. J., Rodil, R. B., & de Guzman, J. M. (2012). The Moro struggle and the challenge to peace building in Mindanao, Southern Philippines. In In Handbook of ethnic conflict (pp. pp. 71-89). Boston: Springer.
Nasruddin, D. M and Sali, N R. A. (2020). Extent of Awareness on Halal Food Among Muslim Stud. International Journal of Halal Research, 78-83.
Prabhakaran, S. (2016). Model Selection Approaches. Retrieved 01 26, 2021, from r-statistics.co: http://r-statistics.co/Model-Selection-in-R.html
Rahman, M. M., & Govindarajulu, Z. (1997). A modification of the test of Shapiro and Wilk for normality. Journal of Applied Statistics, 24(2), 219-236. https://doi.org/10.1080/02664769723828.