International Journal of Social Science & Economic Research
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Title:
A STUDY OF THE FIVE ESSENTIAL COMPONENTS OF ORGANIZATIONAL CLIMATE AND ACADEMIC PERFORMANCE INDICATORS

Authors:
Peter Gathu Ruhiri

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Peter Gathu Ruhiri
Grand Canyon University, USA.

MLA 8
Ruhiri, Peter Gathu. "A STUDY OF THE FIVE ESSENTIAL COMPONENTS OF ORGANIZATIONAL CLIMATE AND ACADEMIC PERFORMANCE INDICATORS." Int. j. of Social Science and Economic Research, vol. 6, no. 1, Jan. 2021, pp. 25-51, doi:10.46609/IJSSER.2021.v06i01.002. Accessed Jan. 2021.
APA 6
Ruhiri, P. (2021, January). A STUDY OF THE FIVE ESSENTIAL COMPONENTS OF ORGANIZATIONAL CLIMATE AND ACADEMIC PERFORMANCE INDICATORS. Int. j. of Social Science and Economic Research, 6(1), 25-51. doi:10.46609/IJSSER.2021.v06i01.002
Chicago
Ruhiri, Peter Gathu. "A STUDY OF THE FIVE ESSENTIAL COMPONENTS OF ORGANIZATIONAL CLIMATE AND ACADEMIC PERFORMANCE INDICATORS." Int. j. of Social Science and Economic Research 6, no. 1 (January 2021), 25-51. Accessed January, 2021. doi:10.46609/IJSSER.2021.v06i01.002.

References

[1]. Applegate, P. J. (2008). The qualities that differentiate high achieving and low achieving high poverty rural high schools: A transformative mixed methods study. ProQuest.
[2]. Augustine-Shaw, D. (2015). Leadership and learning: Identifying an effective design for mentoring new building leaders. Delta Kappa Gamma Bulletin, 81(2), 21-30.
[3]. Barile, J, Donohue, D., Anthony, E., Baker, A., Weaver, S., & Henrich, C. (2012). Teacher-student relationship climate and school outcomes: Implications for educational policy initiatives. Journal of Youth & Adolescence, 41(3), 256-267.
[4]. Bektas, F., &Nalcaci, A. (2013). Okuliklimi?leogrenciBasarisiaraSindakiiliski (Turkish). International Journal of Eurasia Social Sciences/UluslararasiAvrasyaSosyalBilimlerDergisi, 4 (13), 1-13.
[5]. Bryk, A. S., Sebring, P. B., Allensworth, E., Easton, J. Q., &Luppescu, S. (2010). Organizing schools for improvement: Lessons from Chicago. Chicago, IL: University of Chicago Press.
[6]. Ccsr.uchicago.edu. (2015). Surveys of CPS Schools/UChicago Consortium on Chicago School Research | the University of Chicago. Retrieved 24 April 2015, from https://ccsr.uchicago.edu/surveys.
[7]. Choi, N., & Chang, M. (2011). Interplay among school climate, gender, attitude toward mathematics, and mathematics performance of middle school students. Middle Grades Research Journal, 6(1), 15-28.
[8]. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
[9]. DePoy, E., & Gitlin, L. N. (2015). Introduction to research: Understanding and applying multiple strategies. Elsevier Health Sciences.
[10]. DiStefano, C., Monrad, D. M., May, R. J., McGuiness, P., & Dickenson, T. (2007, April). Using school climate surveys to categorize schools and examine relationships with school achievement. In Meeting of the American Educational Research Association, Chicago, and IL.
[11]. Fan, W., Williams, C. M., &Corkin, D. M. (2011). A multilevel analysis of student perceptions of school climate: The effect of social and academic risk factors. Psychology in the Schools, 48(6), 632-647.
[12]. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149-1160..
[13]. Gregory, A., Cornell, D., & Fan, X. (2012). Teacher safety and authoritative school climate in high schools. American Journal of Education, 118, 401– 425.
[14]. Illinois State Board of Education (ISBE). (2014). Illinois State Accountability Workbook. Retrieved 20 November 2015, from http://www.isbe.net/nclb/pdfs/accountability workbook.pdf- 148.7KB - ISBE.
[15]. Kupzyk, K. A. (2011). The effects of simplifying assumptions in power analysis. Doctoral Dissertation, University of Nebraska.
[16]. McCoy, D. D., Roy, A., &Sirkman, G. (2013). Neighborhood crime and school climate as predictors of elementary school academic quality: A cross-lagged panel analysis. American Journal of Community Psychology, 52(1/2), 128-140.
[17]. Mehta, S. B., Cornell, D., Fan, X., & Gregory, A. (2013). Climate and school engagement in ninth?grade students. Journal of School Health, 83(1), 45-52.
[18]. Miller, A. E. (2010). School climate components that contribute to adequate yearly progress in elementary schools. Doctoral dissertation, Baker University.
[19]. O’Malley, M., Voight, A., Renshaw, L., & Eklund, K. (2014). School climate, family structure, and academic achievement: A study of moderation effects. School Psychology Quarterly 10, 1045-1051. Doi: 10.1037/spq0000076.
[20]. Punch, K. F. (2013). Introduction to social research: Quantitative and qualitative approaches. Thousand Oaks, CA: Sage Publications.
[21]. Ragin, C. C. (2014). The comparative method: Moving beyond qualitative and quantitative strategies. Univ of California Press.
[22]. Sebastian, J., &Allensworth, E. (2012). The influence of principal leadership on classroom instruction and student learning: A study of mediated pathways to learning. Educational Administration Quarterly, 48(4), 626-663.
[23]. Thompson, M. J., & Crank, J. N. (2010). An Evaluation of Factors that Impact Positive School Climate for School Psychologists in a Time of Conflicting Educational Mandates. Online Submission. Retrieved 26 June 2015, from ERIC database. (ED507929)
[24]. U.S. Department of Education. (2015). Office of Planning, Evaluation, and Policy Development, Policy and Program Studies Service. Retrieved June 26, 2015, from http://www2.ed.gov/rschstat/eval/disadv/nclbaccountability/ nclb -accountability-final.pdf.
[25]. Uchicagoimpact.org. (2015). 5Essentials/UChicago Impact Tools for Reliably Excellent Schooling/ The University of Chicago. Retrieved 24 April 2015, from http://uchicagoimpact.org/5essentials.
[26]. University of Chicago. (2013). UChicago impact tools for reliability excellent schooling. Unpublished raw data, Department of Education, University of Chicago, Chicago, IL. Retrieved 24 April 2015, from http://uchicagoimpact.org.
[27]. Urick, A. U., & Bowers, A. J. (2014). The impact of principal perception on student academic climate and achievement in high school: How does it measure up? Journal of School Leadership, 24(2), 386-414.
[28]. Wang, W., Vaillancourt, T., Brittain, H. L., McDougall, P., Krygsman, A., Smith, D. ... & Hymel, S. (2014). School climate, peer victimization, and academic achievement: Results from a multi-informant study. School Psychology Quarterly, 29(3), and 360.
[29]. Weijun, W., Vaillancourt, T., Brittain, H. L., Krygsman, A., Smith, D., Haltigan, J. D. …& Hymel, S. (2014). School climate, peer victimization, and academic achievement: Results from a multi-informant study. School Psychology Quarterly, 29(3), 360-377. doi: 10.1037/spq0000084.
[30]. Welsh, W. N. (2000). The effects of school climate on school disorder. The Annals of the American Academy of Political and Social Science, 567(1), 88-107.
[31]. White, N., La Salle, T., Ashby, J. S., & Meyers, J. (2014). A brief measure of adolescent perceptions of school climate. School Psychology Quarterly, 29(3), 349.

Abstract:
Workplace climate has been under scrutiny as a factor that shapes social facilitation, interaction and productivity in organizations. The goal of the study was to reveal the extent to which the 5Essentials of school climate correlates with academic performance. The methodology adopted was quantitative with a correlation design. Linear regression analysis and two-tailed correlation matrix were used to show correlations and rank the predictor’s effect on criterion for 186 schools. Results indicated on average, 40.8% of reading scores were explained by parental involvement, supportive environment and ambitious instruction; and these variables statistically significantly predicted AYP in reading, F (6, 107) = 12.186, p < .05, R2 = .728. Similarly, 49.45% mathematics scores was explained by parental involvement and supportive environment that statistically significantly predicted AYP in mathematics; F (6, 107) = 11.622, p < .05, R2 = .577. On average, 10.8% of graduation rate was explained mostly by supportive environment that statistically significantly predicted AYP in graduation rate, F (6, 107) = 3.057, p < .05, R2 = .146. Overall, out of the five predictors only two had positive coefficients and significant levels of p < 0.05 (parental involvement and supportive environment). These findings support the argument fronted by the theory of action, which suggested if schools embrace some of the 5Eessentials, they are likely to improve their learner’s achievement. Therefore, schools should consider embracing the positively significant five essentials because they may promote student learning and achievement.

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