The Mediating Effect of School Climate with Total Quality Management on School Performance in Pakistan
Author(s)
Waqas Mahmood , Siti Noor Ismail , Mohammad Sofian ,
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Abstract
The global situation of education today calls for an investigation into the role of school climate and TQM in enhancing students’ performance generally and particularly in Pakistan. This study intends to examine the mediating effects of school climate with the application of total quality management (TQM) on schools’ performance in Pakistan. 300 questionnaires were distributed, out of which 232 were retrieved from respondents. This study employed the Statistical Package for Social Science (SPSS) as a statistical analysis tool. The result of the three out of the five direct hypotheses of TQM (i.e., training and education, continuous improvement and social climate) from the analysis provided support for the hypothesized relationships. Furthermore, it is apparent that there is a significant positive influence of TQM in enhancing student academic performance in the Pakistan. Similarly, it was found from the study that school climate mediates the relationship between total quality management and student academic performance. The study, therefore, concluded that school climate, continuous improvement, and the training and education of staff should be developed to enhance students’ academic performance in Pakistan.
Keywords
School climate, staff involvement, training and education, students’ commmitment, TQM, Pakistan
References
i. Agino, Z. Alikasifoglu, M. & Ercan, O. (2015). The role of parental, school and peer factors in adolescent bullying involvement: Results from the Turkish HBSC 2005/2006 study. Asia Pacific Journal http://doi.org/10.1177/1010539512473144
ii. Ahmad A. (2011). The Effectiveness of the School Performance, by Using the Total
iii. Akhtar Z. and Mahfooz A. (2016). Adjustment and Academic Achievement of School Students, Indian Journal of Psychological Science, 6 (1), 112-118
a. Asian International Schools dissertation Concordia University - Portland
iv. Brackett, M., Palomera, R., Mojsa-Kaja, J., Reyes, M., & Salovey, P. (2010). Emotion regulation ability, burnout, and job satisfaction among British secondary-school teachers. Psychology in the Schools, 47, 406-417. http://dx.doi.org/10.1002/pits.20478
v. Bree J. M. (2014). School Principal Influence Actions, Climate, Culture, and School Performance. PhD Dissertation, Florida Atlantic University, Boca Raton, FL
a. Climate Research. Review of Educational Research, 0034654313483907.
vi. Davis, S. C. (2014). Annual report of the Chief Medical Officer 2013: Public mental health
vii. Deci, E., & Ryan, L. (2008). Hedonia, eudaimonia, and wellbeing: An introduction. Journal of Happiness Studies, 9(1), 1-11.
viii. Field, A. (2009). Discovering Statistics using SPSS (3rd ed.). London: Sage Publications.
ix. Ghazi, S. R., Azam, M., & Khan, M. (2009). Causes of high, average and low academic achievements of institutions in B.I.S.E result 2009. Abasyn University Journal of Social Science, 3(2), 57-62.
x. Gulnaz Z. (2014). Direct and Indirect Impact of Perceived School Climate upon Student
xi. Guthrie, J. T. & Klanda S. L. (2014). Effects of classroom practices on reading comprehension, engagement, and motivations for adolescents. Reading Research Quarterly 49 (4) 387-416
xii. Hair, J. F., Black, W. C., Babin, B. J., Andersen, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis ( 6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
xiii. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 18, 139-152.
xiv. Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). Applications of partial least squares path modelling in management journals. A review of past practices and recommendations for future applications. Long Range Planning, 45 (5-6), 320-340.
xv. Hair, J., Anderson, R., Tatham, R. & Black, W. (2010). Multivariate Data Analysis, Upper Saddle River, NJ: Prentice-Hall International.
xvi. Hoy, W. (2012). School characteristics that make a difference for the achievement of all students. Journal of Educational Administration, 50(1), 76–97.
a. http://doi.org/10.3102/0034654313483907
xvii. Jia, Y., Way, N., Ling, G., Yoshikawa, H., Chen, X., Hughes, D., ... Lu, Z. (2009). The influence of student perceptions of school climate on socio-emotional and academic adjustment: A comparison of Chinese and American adolescents. Child Development, 80(5), 1514-1530
xviii. Keith Zvoch and Joseph J. Stevens (2015). Identification of summer school effects by comparing the in- and out-of-school growth rates of struggling early readers, The Elementry School Journal 115(3), 433-456
xix. Khan A. (2016). Influence of academic stress on students’ self-concept, adjustment and achievement motivation. PhD Desertation, Department of Psychology Aligarh Muslim University Aligarh (India)
xx. Kutsyuruba B., Klinger Don A., and Hussain A. (2015).Relationships among school climate, school safety, and student achievement and well-being: a review of the literature. Review of Education 3, (2), 103–135
xxi. Lakshmi, A. R., & Arora, M. (2006). Perceived parental behavior as related to student’s academic school success and competence. Journal of the Indian Academy of Applied Psychology, 32(1), 47-52.
xxii. Long, J. F., Monoi, S., Harper, B., Knoblauch, D., & Murphy, P. K. (2007). Academ motivation and achievement among urban adolescents. Urban Education, 42(3), 196222.
xxiii. Ministry of Education; Government of Pakistan. (2009). National education policy.
xxiv. Muraina and Muraina (2014). Class size and school climate as correlates of secondary school students scholastic achievement in itesiwaju local government area of Oyo State, Nigeria, Global Journal of Human Social Science Research, 14 (3)
xxv. Nichols, G. W., & Nichols, J. D. (2012). An Analysis of Student and Parent Perceptions: School Climate Surveys for the Public Good. Scholarly partnerships edu., 6(1), 13-24.
xxvi. Nik Muhammad, N.M., Jantan, M., & Md Taib, F. (2010). Moderating effect of information processing capacity to investment decision making and environmental scanning.Business Management Quarterly Review, 1(1), 9- 22.
xxvii. Ochoa, G. M., Lopez, E. E., & Emler, N. P. (2007). Adjustment problems in the family and school contexts, attitude towards authority, and violent behavior at school in adolescence. Adolescence, 42(16), 781-797
xxviii. Olwatimilehin, J. T., & Ovoyele, J. W. (2012). Study habits and academic achievement in core subjects among junior secondary school students in ONDO State, Nigeria. Bulgarian Journal of Science and Education Policy (BJSEP), 6(1), 155-169.
a. organisational Psychology, 3, (pp. 147–197). Palo Alto, CA: Consulting
b. Outcomes. Asian Social Science; 10,(8) 90
xxix. Pallant, J. (2007). SPSS Survival Manual: A step – by step guide to data analysis using SPSS for Windows (version 15). Australia: Allan and Urwin.
xxx. Park, Y.K., Song, J.H., Won Yoon, S., & Kim, J. (2013), Learning organisation and innovative behaviour: The mediating effect of work engagement. European Journal of Training and Development, 38(1/2), 75-94.
xxxi. Patapas, A. & Smalskys, V. (2013). Relationship between organisational commitment, job satisfaction, and positive psychological capital in lithuanian organisations. International Journal of Business and Social Science, 4(12), 56-190.
xxxii. Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30, 467-480. doi: http://dx.doi.org/10. 1016/j.jom. 2012.06.002.
a. priorities - investing in the evidence. London: Department of Health.
b. Psychologists Press
c. Quality Standards within the Education District of Al-Petra Province, from the Perspective of the Public Schools Principals and Teachers. International Education Studies. 4(2) 31
xxxiii. Raju, M. V., & Rahamtulla, T. K. (2007). Adjustment problems among school students.Journal of Indian Academy of Applied Psychology, 33(1), 73-79.
xxxiv. Rashmikant N. Parmar (2014). A study of certain areas of adjustment of higher
xxxv. Reddy, R., Rhodes, J. E., & Mulhall, P. (2003). The influence of teacher support on student adjustment in the middle school years: A latent growth curve study. Development and Psychopathology, 15(1), 119-138.
a. retention. Teacher Education Quarterly, 35(4), 57-75.
xxxvi. Rich, B., Lepine, J., & Crawford, E. (2012). Job Engagement: Antecedents and effects on job performance. Academy of Management Journal, 53(3), 617-635.
xxxvii. Ringle, C. M., Wende, S., Will, A.,& Becker, J. M. (2012). SmartPLS 2.0 3M. Retrieved November 23, 2013 from www.smartpls.de.
xxxviii. Saied, R. Keyvan, V. & Esfandiar, S. (2015). Social foundations of curriculum: social equality and education. Journal of Life Science and Biomedicine 5(1), 6-10
xxxix. Schneider, B. & Colemen, J. S. (2018). Ed. Parents, their children and school: Taylor & Francis. New York London. http://taylorand francis.com
xl. secondary school’s students in relation to habitat. International Journal For Technological Research In Engineering 1(6) 403-406
xli. Sekaran, U. (2010). Research method for business: A skill building approaches (4th ed.). New Jersey: John Wiley and Sons.
xlii. Shuck, B., Reio, T., & Rocco, T. (2011). Employee Engagement: An examination of antecedent and outcome variables. Human Resource Development International, 14(4), 427-445.
xliii. Shumba, Maphosa, Rembe, Okeke and Drake (2016). Teacher work related stress in early childhood education: some coping strategies, Kamla-Raj Journal Psychology, 7(2): 150-158
xliv. Simons-Morton, B., & Chen, R. (2009). Parent and peer influences on school engagement among early adolescents. Youth & Sociology, 41(1), 3-25.
xlv. Skaalvik, E. M., & Skaalvik, S. (2015). Job satisfaction, stress and coping strategies in the
xlvi. Studsrod, I., & Bru, E. (2012). Upper secondary school students’ perceptions of teacher socialization practices and reports of school adjustment. School Psychology International, 33(3), 308-324.
xlvii. Su, R., Tay, L., & Diener, E. (2014). The development and validation of the comprehensive inventory of thriving (CIT) and the brief inventory of thriving (BIT). Applied Psychology: Health and Wellbeing, 6(3), 251-279
xlviii. Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Pearson Education Inc.
xlix. Tahir, I., Bilal, A. K., Nadeem, T., & Nawar, K.(2012). TQM and organisation Performance: The Mediation and Moderation Fit. Life Science Journal 9(4)
l. Tait, M. (2008). Resilience as a contributor to novice teacher success, commitment, and
a. teaching profession - what do teachers say? International Education Studies, 8(3), 181-192.
li. Thapa, A., Cohen, J., Guffey, S., & Higgins-D’Alessandro, A. (2013). A Review of School
lii. Theresa, A. M. (2006). School context, student attitudes and behavior, and academic achievement:An exploratory analysis.
liii. Tobin E. H. (2017). Spiritual Leadership, School Climate, and Teacher Collective Efficacy
a. Trussa, et al., 2013).
liv. Wang, Brinkworth, & Eccles (2013). Moderating effects of teacher–student relationship in adolescent trajectories of emotional and behavioral adjustment. DevelopmentalPsychology, Vol 49(4), 690-705
lv. Wang, M. & Degol, J. L. (2016). School climate: a review of the construct measurement, and impact on student outcomes. Education Psychology Review 28(2), 315-352
lvi. Welch, M. (2011). The evolution of the employee engagement concept: Communication implications. Corporate Communications: An International Journal, 16(4), 328 – 346.
lvii. Wyrick, A. J., & Rudasill, K. M. (2009). Parent involvement as a predictor of teacher-child relationship in third grade.
lviii. Yukl, G. & Van Fleet, D. D. (1992). Theory and research on leadership in organisations. In M. D. Dunnette and L. M. Hough (Eds.), Handbook of Industrial
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