Dorothy Nakiyaga1 , Proscovia Namubiru Sentamu 2 and David Ssekamatte3
1. Department of Educational Management & Policy Studies, Faculty of Education, Moi University, Eldoret, Kenya
2. Department of Educational Leadership, School of Management Science, Uganda Management Institute, Kampala, Uganda
3. Department of Management, School of Business and Management, Uganda Management, Kampala Institute

MLA 8
Nakiyaga, Dorothy, et al. "Data Preparation and Bootstrapping Analysis for Stakeholder Participation in School Management: Impact on Academic Achievement in Ugandan Public Secondary Schools." Int. j. of Social Science and Economic Research, vol. 9, no. 6, June 2024, pp. 1726-1749, doi.org/10.46609/IJSSER.2024.v09i06.007. Accessed June 2024.
APA 6
Nakiyaga, D., Sentamu, P., & Ssekamatte, D. (2024, June). Data Preparation and Bootstrapping Analysis for Stakeholder Participation in School Management: Impact on Academic Achievement in Ugandan Public Secondary Schools. Int. j. of Social Science and Economic Research, 9(6), 1726-1749. Retrieved from https://doi.org/10.46609/IJSSER.2024.v09i06.007
Chicago
Nakiyaga, Dorothy, Proscovia Namubiru Sentamu, and David Ssekamatte. "Data Preparation and Bootstrapping Analysis for Stakeholder Participation in School Management: Impact on Academic Achievement in Ugandan Public Secondary Schools." Int. j. of Social Science and Economic Research 9, no. 6 (June 2024), 1726-1749. Accessed June, 2024. https://doi.org/10.46609/IJSSER.2024.v09i06.007.

References

[2]. Bandur, A. (2018). Stakeholders’ responses to school-based management in Indonesia". International journal of Education and Management 32(6), 1082-1098. https://doi.org/10.1108/IJEM-08-2017-0191.
[3]. Bandur, A., Hamsal, M., & Furinto, A. (2022). 21st Century experiences in the development of school-based management policy and practices in Indonesia. Educ Res Policy Prac 21, , 85–107. https://doi.org/10.1007/s10671-021-09293-x.
[4]. Beavers, A. S., Lounsbury, J. W., Richards, J. K., Huck, S. W., Skolits, G. J., & Esquivel, S. L. (2019). Practical Considerations for Using Exploratory Factor Analysis in Educational Research,. Practical Assessment, Research, and Evaluation: 18(6)., https://doi.org/10.7275/qv2q-rk76.
[5]. Brownlee, J. (2019, May 25th). A Gentle Introduction to the Bootstrap Method. Retrieved from Machine learning Mastery.: https://machinelearningmastery.com
[6]. Cabardo, J. R. (2016). Levels of Participation of the school Stakeholders in the different school-initiated activities and the implementation of school-based management. Journal of Inquiry and Action in Education, 8(1), 81-94.
[7]. Carl, F. F. (2018). Are Robust Standard Errors the Best Approach for Interval Estimation With Nonnormal Data in Structural Equation Modeling?, Structural Equation Modeling. A Multidisciplinary Journal, 25(2) , 244-266. https.//doi.org/ 10.1080/10705511.2017.1367254.
[8]. Cavana, Y. R., Delahaye, B. L., & Sekaran, U. (2001). Applied Business Research: Qualitative and Quantitative Methods. Wiley Australia. ISBN: 0471341266, 9780471341260.
[9]. Cheng, Y. C. (2023). School Effectiveness and School-Based Management:m A Mechanism for Development. Second Edition. Routledge.
[10]. Chong, J., Liu, P., & Zhou, G. (2020). Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data. Nat Protoc 15, 799–821. https://doi.org/10.1038/s41596-019-0264-1.
[11]. Clark, L. A., & Watson, D. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31(12),, 1412–1427. https://doi.org/10.1037/pas0000626.
[12]. Coakes, S. J. (2010). SPSS: Analysis Without Anguish Using SPSS Version 17.0 for Windows. John Wiley and Sons Ltd.
[13]. Costello, A. B., & Osborne, J. (2019). "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation: 10 (7)., https://doi.org/10.7275/jyj1-4868.
[14]. Craig, K. E. (2022). Applied Missing Data Analysis. Second Edition. The Guilford Press.
[15]. Cronbach, L. J. (1951). Coefficient Alpha and internal structures of tests. Psychometrika, 16, 297-334 https://doi.org/10.1007/BF02310555.
[16]. Cronbach, L. J. (1951). Coefficient Alpha and Internal Structure of Tests. Psychometrika. 31, 93-96.
[17]. Deitje, A. K., Sjamsi, P., & Theodorus, P. (2018). Effectiveness of School-Based Management Practices in increasing Community Participation and Implementing School programs. Proceedings of the Annual Civic Education Conference (ACEC 2018) (pp. https.//doi.org/10.2991/acec-18.2018.32). Atlantis Press.
[18]. Delavallade, C., Griffith, A., & Thornton, R. (2019, December 24). Effects of a Multi-Faceted Education Program on Enrollment, Equity, Learning, and School Management: Evidence from India. Retrieved from elibrary.worldbank.org: https://doi.org/10.1596/1813-9450-9081
[19]. Demiralp, S., Hoover, K. D., & Perez, S. J. (2006). A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression. SSRN Electronic Journal, DOI: 10.2139/ssrn.894152.
[20]. Draugalis, J. R., Coons, S., & Plaza, C. M. (2008). Best practices for survey research reports: A synopsis for authors and reviewers. American Journal of Pharmaceutical Education, 72(1), 11. https://doi.org/10.5688/aj720111.
[21]. Dziuban, C. D., & Shirkey, E. C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychological Bulletin. 81(6)., 358-361 Https://doi.org/10.1037/h0036316.
[22]. Efron, B. (1982). The Jackknife: The Bootstrap and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics. (pp. 2-9). Society for industrial and applied Mathematics Philadephia.
[23]. Evans, D. K., & Jakiela, P. (2019). Gender Gaps in Education: The Long View. CGD Working Paper (p. 523). Centre For Global Development.
[24]. Ferdaus, J. (2016). Monitoring and evaluation in the education system of Bangladesh: Theory reflection and recommendation. Unpublished work, BRAC University.
[25]. Ferdaus, J. (2018). Monitoring and Evaluation in the education system of Bangladesh: Theory, reflection, and recommendation. (Unpublished work), BRAC University.
[26]. Gimenez-Nadal, J. I., Lafuente, M., Molina, J. A., & Velilla, J. (2019). Resampling and bootstrap algorithms to assess the relevance of variables: applications to cross-section entrepreneurship data. Empirical Economics, 56, 233-267. https://doi.org/10.1007/s00181-017-1355-x.
[27]. Gissane, C. (2015). Is the data Normally Distributed? Physiotherapy Practice and Research. 37(1)., 57-60, DOI: 10.33/PPR-150069.
[28]. González-Estrada, E., & Cosmes, W. (2019). Shapiro–Wilk test for skew-normal distributions based on data transformations. Journal of Statistical Computation and Simulation, 89(17), ., 3258-3272. https://doi.org/10.1080/00949655.2019.1658763.
[29]. Goretzko, D., Huong, T. T., & Buhner, P. M. (2019). Exploratory Factor Analysis: Current Use Methodological Developments and Recommendation for good practice/. Tutorials in Quantitative Methods for Psychology, DOI: 10.1007/S12144-019-00300-2.
[30]. Guzman, J. (2022). Participation in school improvement plan and school performance of secondary schools.,. International Journal of Arts, Sciences and Education, 3(July Special Issue), 51-66. https://ijase.org/index.php/ijase/article/view/159.
[31]. Hadi, N. U., Abudullah, N., & Sentosa, I. (2016). An Easy Approach to Exploratory Factor Analysis: Marketing Perspective. Journal of Educational and Social Research. 6(1)., 215-223. DOI: 10.5901/jesr.2016/v6n/p215.
[32]. Hair, J. F., & Anderson, R. E. (2010). Multivariate data analysis. 7th ed. Upper Saddle River.: Pearson.
[33]. Hartmann, F., Kopp, J., & Lois, D. (2023). The First Steps of Data Analysis: Preparation, Data Description and Bivariate Relationships. In W. Springer, Social Science Data Analysis. (pp. 29-58). https://doi.org/10.1007/978-3-658-41230-2_4.
[34]. Ikpotokim, O., & Edokpa, I. W. (2013). Correlation Analysis: The Bootstrap Approach. International Journal of Scientific & Engineering Research. 4(5), 1695- 1702: ISSN 2229- 5518.
[35]. Irvine. (2019). Relationship between teaching experience and teacher effectiveness: Implications for policy decisions. Journal of Instructional Pedagogies. 3(1), 1-19.
[36]. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs, and ownership structure. Journal of Financial Economics, Elsevier, 3(4)., 305-360, RePEc:eee:jfinec:v:3:y:1976:i:4:p305-360.
[37]. Kadir, A. N. (2019). Good governance issues in Education Systems and Management of secondary schools in Kwara State Nigeria. e-Journal in Education Policy, https://files.eric.ed.gov.
[38]. Kaiser, H. F. (1974). An index of factorial simplicity. Psyhometrika, 39, 31-36.
[39]. Kothari, C. R. (2004). Research Methodology: Methods and Techniques. 2Ed. New Age International Publishers.
[40]. Kyriazos, T. A. (2018). Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General. Psychology, 9,., 2207-2230. https://doi.org/10.4236/psych.2018.98126.
[41]. Lafortune, J., Rothstein, J., & Schanzenbach, D. W. (2018.). School finance reform and the distribution of student achievement. American Economic Journal: Applied Economics, 10(2), 1-26. https.//doi.org/10.1257/app.20160567.
[42]. Marchessault, L. (2016). Public Participation and the budget cycle: Lessons from country examples. The World Bank.
[43]. Mayanja, S. C. (2020). Participatory Monitoring and Evaluation for Quality programs in Higher Education: What is the way for Uganda. International Journal of Educational Administration and Policy Studies 12(1)., 52-59, EJ1256315.
[44]. Mertler, C. A., Vannatta, R. A., & LaVenia, K. N. (2021). Advanced and multivariate statistical methods: Practical application and interpretation. Routledge.
[45]. Mohamed, A., & Norine, W. (2020). Sustainable Development and Education in the Fourth Industrial Revolution (4IR). http://hdl.handle.net/11599/3698.
[46]. Monroe, J. G., Srikant, T., Carbonell, P., Becker, C., Lensink, M., Exposito, M., & Weigel, D. (2022.). Mutation bias reflects natural selection in Arabidopsis thaliana. Nature, 602(7895), 101-105. https://doi.org/10.1038/s41586-021-04269-6.
[47]. Naresh, K. M. (2020). Marketing Research: An Applied Orientation. Pearson.
[48]. Onyango, R. O. (2018, August 29). Participatory Monitoring and Evaluation: an Overview of Guiding Pedagogical Principles and Implications on Development. Retrieved from International journal of novel Research in Humanity and Social Sciences. 5(4)428-433: https://www.researchgate.net/publication/327284898
[49]. Osborne, J. W., & Waters, E. (2019). "Four assumptions of multiple regression that researchers should always test,". Practical Assessment, Research, and Evaluation, 8(2)., https://doi.org/10.7275/r222-hv23.
[50]. Owan, V. J., Nwannunu, B. I., & Chijioke, M. E. ( 2018.). Problems of school management and students’ academic performance in secondary schools in Calabar Education Zone, Cross River State, Nigeria. . .
[51]. Owan, V. J., Nwannunu, B. I., & Madukwe, E. C. (2018). Problems of school management and students’ academic performance in secondary schools in Calabar education zone, Cross River State, Nigeria. International Journal of Research and Innovation in Social Science 2(10), 120-127. https://ssrn.com/abstract=3286234.
[52]. Oyier, C. R., & Odundo. (2017). Participation of science teachers in budgeting for instructional resources in secondary schools in Kenya. International Journal of Research- Granthaalayah, 5(8), 236-251, https://doi.org/10.29121/granthaalayah.v5.i8.2017.2219.
[53]. Rice, J. K. (2010). The impact of teacher experience: Examining the evidence and policy implication. National Centre for Analysis of Longitudinal Data in Educational Research.
[54]. Roderick, J. A., & Donald, B. R. (2019). Statistical Analysis with Missing Data. Third Edition. Wiley and Sons, Inc.
[55]. Rousselet, G., Pernet, C. R., & Wilcox, R. R. (2023). An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations. Meta-Psychology, 7(2023), https://doi.org/10.15626/MP.2019.2058.
[56]. Rozali, N. M., & Yap, B. W. (2011, July 12). Power Comparisons of Shapiro-Wilk, Kolmogorov- Smirnov, Lilliferors & Anderson- Darling Tests. Retrieved from Researchgate: https://www.researchgate.net/publication/267205556.
[57]. Sideridis, G. D., & Simos, P. (2010). Approximating the sampling distribution of the correlation coefficient using the bootstrapping method. International Journal of Educational and Psychological Assessment. 5, 117-133.
[58]. Tabachnick, B. G., & Fidell, L. S. (2014). Using Multivariate Statistics. 6th ed. Harlow: Pearson Education Limited.
[59]. Wenfei, F., & Floris, G. (2022). Foundations of Data Quality Management. Springer Nature. https.//doi.org/10.1007/978-3-031-01892-3.
[60]. Wesolowski, B., & Thompson, D. J. (2018, January 20th). Normal Distribution. Retrieved from ResearchGate: https://www.researchgate.net/publication/327273083
[61]. Wilcox, R. R. (2021). Introduction to Robust Estimation and Hypothesis Testing. (5th ed). Elsevier: https://www.elsevier.com.
[62]. Wilcox, R. R. (2017). Introduction to Robust Estimation and Hypothesis Testing. ( 4th ed). Elsevier.
[63]. Wilcox, R. R. (2021, September 17th). Introduction to Robust Estimation and Hypothesis Testing. 5th Ed. Retrieved from Research Gate: https://www.researchgate.net/publication/354665760.
[64]. WorldBank. (2013). Participatory Monitoring and Evaluation: Principles, Action Steps, and Challenges. The World Bank.
[65]. Yen, L. (2019, January 26th.). An introduction to the Bootstrap Method. Retrieved from Towards data science.com: https://towardsdatascience.com
[66]. Yong, A. G., & Pearce, P. (2013). A beginner's guide to factor analysis: Focusing on Exploratory Factor Analysis. Tutorials in Quantitative Methods for Psychology. 9(2) , 79-94. DOI: 10.20982/TQMP.09.2.P079.