References
A. Yusuf. (n.d.). Inter-relationship among academic performance, academic achievement, and learning outcomes. Academic Performance Index (API), (2010). Academic Performance Index. Retrieved from http://www.greatschools.org/issues/ca/api.html. on 12 - 4 - 2012 Airasian, P. W. (1994). Classroom assessment (2nd ed.). McGraw-Hill. Alos, S. B., Caranto, L. C., & David, J. J. T. (2015). Factors affecting the academic performance of the student nurses of BSU. RELIEVE, 5(2), 60-65. Retrieved from http://article.sapub.org/10.5923.j.nursing.20150502.04.html Arshad, M. (2015). Self-esteem and academic performance among university students. Berkowitz, J. (n.d.). Sampling and sample size. Retrieved from Columbia University: http://www.columbia.edu/~mvp19/RMC/M6/M6.doc Bossaert, G., Doumen, S., Buyse, E., & Verschueren, K. (2011). Predicting students' academic achievement after the transition to first grade. Journal of Educational Psychology, 103(1), 147-158. https://doi.org/10.1037/a0021027 Bradford L. Goldense, P. G. (2015). The difference between research and development. Retrieved from RD Magazine: https://www.rdmag.com/article/2015/02/difference- between-research-and-development Chan, T. C. (n.d.). Environmental impact on student learning. Valdosta State University. Retrieved from https://www.valdosta.edu Chukwuemeka. (2013). Environmental influence on academic performance of secondary school students in Port Harcourt Local Government Area of Rivers State. Crawford, J. R., & Henry, J. D. (2004). The Positive and Negative Affect Schedule (PANAS): Construct validity, measurement properties, and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 43(3), 245-265. https://doi.org/10.1348/0144665042002597 Dissertation. (2012). Sampling techniques. Retrieved from http://dissertation.laerd.com/process-stage6-step6-p2.php Early Childhood Education. (n.d.). Play and the learning environment. Retrieved from Sage Publications: https://www.sagepub.com/sites/default/files/upm- binaries/53567_ch_10.pdf Ed, M. F.-Q. (2015, March). Associations between approaches to study, the learning environment, and academic achievement. Finnish National Agency for Education. (2004). Distribution of lesson hours. Gargallo, B., Suárez-Rodriguez, J. M., & Pérez-Perez, C. (2009). The CEVEAPEU questionnaire: An instrument to assess the learning strategies of university students. RELIEVE, 15(2), 1-26. Retrieved from http://www.uv.es/RELIEVE/v15n2/RELIEVEv15n2_5eng.htm Geremew Muleta Akessa, A. G. (2015). Factors that influence students' academic performance: A case of Rift Valley University, Jimma, Ethiopia. Gregory M. Herek, P. (2012). A brief introduction to sampling. Retrieved from University of California, Davis: http://psychology.ucdavis.edu/rainbow/html/fact_sample.html Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. Hafeez, U. and Akbar, W. (2015) Impact of Training on Employees Performance” (Evidence from Pharmaceutical Companies in Karachi, Pakistan). Business Management and Strategy 6 (1).Doi.org/10.5296/bms.v6i1.7804 Hair Jr, J.F., Black W.C., Babin, B.J., & Anderson, R.E. (2014). Multivariate Data Analysis: A Global Perspective. (7th ed.). New Jersey: Pearson. Hair Jr, J.F., Tomas, M.H.G., Ringle, C.H., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second Edi). Los Angeles: Sage Publications Inc. Hayes, A.F. (2009). Beyond Baron and Kenny: statistical mediation analysis in the new millennium.CommunicationMonographs,76(4),408–420. doi:10.1080/03637750903310360 Henseler, J., Dijkstra, T.K., Sarstedt, M., Ringle, C.M., Diamantopoulos, A., Straub, D.W., & Calantone, R.J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational research methods, 17(2), 182-209. Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. Hu, L.-T., & Bentler, P.M. (1999). Fit indices in covariance structure modeling: Sensitivity underparameterized model misspecification. Psychological Methods, 3, 424–453. Hansen, J. B. (2000, April). Student performance and student growth as measures of success: An evaluator’s perspective. Paper presented at the annual meeting of the American Educational Research Association. Hoyle, E. (1986). Policies of school management. Suffolic. Investopedia. (n.d.). Hypothesis testing. Retrieved from https://www.investopedia.com/terms/h/hypothesistesting.asp Iwuagwu Blessing Oselumese, D. O. (2016, March). Environmental influence on students’ academic performance in secondary school. Joe, A. I. (n.d.). Academic achievement prediction: Role of interest in learning and attitude towards school. Keamu, C. G. (2016). Student academic performance: The role of motivation, strategies, and perceived factors hindering Liberian junior and senior high school students' learning. Education Research International. Keamu, C. G. (2017). Student academic performance: The role of motivation, strategies, and perceived factors hindering Liberian junior and senior high school students' learning. Education Research International. Khan, I. M. (2012). Factors affecting students’ academic performance. M. S. A. Rahim, N. S. (n.d.). Relationship between academic workload and stress level among biomedical science students in Kuala Lumpur. M. J. Khan, S. Altaf, and H. Kausar, “Effect of Perceived Academic Stress on Students’ Performance,” FWU J. Soc. Sci., vol. 7, no. 2, 2013. K. A. Kalli and A. B. Shehu, “Effects of stress on the academic performance of students of Tertiary Institution (A case Study of Ramat Polytechnic Maiduguri, Borno State, Nigeria),” Int. J. Humanit. Art Soc. Stud., vol. 3, no. 3, pp. 79–88, 2018. M. Saqib and K. U. Rehman, “Impact of Stress on Students Academic Performance at Secondary School Level at District Vehari,” Int. J. Learn. Dev., vol. 8, no. 1, p. 84, Feb. 2018. McLeod, S. (2008). Research variables. Retrieved from Simply Psychology: https://www.simplypsychology.org/variables.html Moss, C. L. (2015). Role conflict and role ambiguity as predictors of burnout in special and general education co-teachers. RELIEVE, 1-162. Retrieved from http://scholarworks.waldenu.edu/cgi/viewcontent.cgi?article=1043&context=dissertati ons Naqvi, S. T. (2006, January). Factors affecting students’ performance. Retrieved from https://theseus.fi/bitstream/handle/10024/124792/Thesis%20Document.pdf?sequence =1&isAllowed=y Nigel Mathers, N. F. (2007). Surveys and questionnaires. Nzesei, M. M. (2015). A correlation study between learning styles and academic achievement among secondary school students in Kenya. Oosterhof, A. (2001). Classroom applications of educational measurement. Merrill Prentice Hall. Oredein, O. (2016). Effect of school variables on student academic performance in Calabar municipal area of Cross River State. Rashidi, N., & Javanmardi, F. (2012). The relationship between Iranian EFL students’ achievement goal orientations and their gender. RELIEVE, 2(1), 8-15. Retrieved from http://article.sapub.org/10.5923.j.edu.20120201.02.html Reliawiki. (n.d.). Simple linear regression analysis. Retrieved from http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis Shaaria, A. S. (2013). The relationship between lecturers' teaching style and students' academic engagement. Silander, P. &. (2012). Oppimisympäristön arviointikehikko oppilaitosjohdolle. Retrieved from http://www.hel.fi/wps/wcm/connect/c6aaf1804b55a9bcb544f78fcc181101/tietoyhteis kunt
