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OKULDA VERİ KÜLTÜRÜ: BİR ÖLÇEK GELİŞTİRME ÇALIŞMASI

Yıl 2024, Cilt: 5 Sayı: 2, 65 - 79, 31.12.2024

Öz

Bu çalışmanın amacı, okulda veri kültürünün farklı boyutlarını belirlemek, değerlendirmek ve mevcut durumu ortaya koymak için geçerli ve güvenilir bir ölçek geliştirmektir. Çalışma nicel betimsel tarama modelindedir. Çalışmanın örneklemini Kastamonu’da 2023-2024 eğitim öğretim yılında aktif görevde olan, açımlayıcı faktör analizi için 274, doğrulayıcı faktör analizi için 308 öğretmen ve okul yöneticisi oluşturmuştur. Veriler beş maddeli Likert ölçeği ile toplanmıştır. AFA sonucunda dört boyutlu bir yapı oluşmuş ve bu yapı DFA ile doğrulanmıştır. Okulda veri kültürünün boyutları; "veriye dayalı yönetim", "veri yönetimi ve yönetişimi", "veriye dayalı karar verme" ve "veriye dayalı performans değerlendirme"dir. İç güvenilirlik ve geçerlilik Cronbach Alpha (Cronbach's α=.780), split half yöntemi (r=.737), Spearman-Brown korelasyon katsayısı (R=.849) ve Guttman's lambda (λ=.846) ile doğrulanmıştır. Dış güvenilirlik ve geçerlilik test-tekrar test tekniği ile doğrulanmıştır (ilk uygulama n=42, ikinci uygulama n=34, r=.884, p≤.05, R=.624, p≤.05 ve Kendal's tau-b τb=.508, p≤.05). Elde edilen bulgular ölçeğin geçerliliğini ve güvenilirliğini doğrulamıştır.

Etik Beyan

Makalenin tümsüreçlerinde etik kurallara riyte edilmiştir. Yazarların her biri makaleye eşit derecede katkı sunmuştur.

Kaynakça

  • Anderson, C. (2015). Creating a data driven organization: Practical advice from the trenches. Sebastopol, CA: O’Reilly Media, Inc. https://l24.im/5awV8
  • Andrade, C. (2021). Z scores, standard scores, and composite test scores explained. Indian Journal of Psychological Medicine, 43(6), 555-557. https://journals.sagepub.com/doi/pdf/10.1177/02537176211046525
  • Bai, J., & Ng, S. (2005). Tests for skewness, kurtosis, and normality for time series data. Journal of Business & Economic Statistics, 23(1), 49-60. http://www.columbia.edu/~sn2294/pub/jbes-05.pdf
  • Bartlett, M. S. (1950). Tests of significance in factor analysis. British journal of psychology, 5(2), 109-133. https://sci-hub.se/10.1111/j.2044-8317.1952.tb00117.x
  • Bates, J. (2017) Data Cultures, Power and the City. In: Kitchin, R., Lauriault, T. and McArdle, G., (Eds.) Data and the City. Routledge, Oxon, pp. 189-200. https://l24.im/k5YIbN1
  • Bevans, K., Bradshaw, C., Miech, R., & Leaf, P. (2007). Staff‐and school‐Level predictors of school organizational health: A multilevel analysis. Journal of School Health, 77(6), 294-302. https://sci-hub.se/10.1111/j.1746-1561.2007.00210.x
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. D. A. Kenny (Edt). Methodology in the social sciences (pp. 1-100). The Guilford Press. https://epdf.tips/confirmatory-factor-analysis-for-applied-research.html
  • Büyüköztürk, Ş., Çokluk, Ö., & Köklü, N. (2013). Sosyal bilimler için istatistik (13th ed.). Pegem Akademi.
  • Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2008). Bilimsel araştırma yöntemleri (2. bs). Pegem Akademi.
  • Carpenter, S. (2018). Ten steps in scale development and reporting: A guide for researchers. Communication methods and measures, 12(1), 25-44. https://doi.org/10.1080/19312458.2017.1396583
  • Cemaloğlu, N. & Duykuluoğlu, A. (2002). Eğitimde veriye dayalı yönetim. Pegem akademi.
  • Cohen, L., Manion, L. & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.
  • Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2018). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (5. bs). Pegem Akademi.
  • Cokluk, O., & Kayri, M. (2011). The Effects of Methods of Imputation for Missing Values on the Validity and Reliability of Scales. Educational Sciences: Theory and Practice, 11(1), 303-309. https://files.eric.ed.gov/fulltext/EJ919903.pdf
  • Coolican, H. (2013). Research methods and statistics in psychology (5th ed). Routledge. https://l24.im/NVBjw
  • Díaz, A., Rowshankish, K., & Saleh, T. (2018). Why data culture matters. McKinsey Quarterly, 3(1), 36-53. https://l24.im/IhEzM7L
  • Engmann, S., & Cousineau, D. (2011). Comparing distributions: The two-sample Anderson-Darling test as an alternative to the Kolmogorov-Smirnoff test. Journal of applied quantitative methods, 6(3), 1-38. https://l24.im/pXQcE8j
  • Field, A. (2009). Discovering statistics using SPSS (3rd ed). Sage Publications Ltd.
  • French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling, 13(3), 378-402. https://sci-hub.se/10.1207/s15328007sem1303_3
  • Gomez-Mejia, L. R. ve Balkin, D. B. (2012). Management: People, performance, change. Pearson Education, Inc. https://epdf.pub/managementa0db94685bc6e29af82e539abae08cd816325.html
  • Gordon, K. (2007). Principles of data management: Facilitating information sharing. The British Computer Society Publishing and Information Products. https://l24.im/knhzAr
  • Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis (7th ed). Pearson Education Limited.
  • Harrington, D. (2009). Confirmatory factor analysis. In T. Tripodi (Edt.). Pocket guides to social work reseacrh methods (pp. 3-121). Oxford University Press. https://l24.im/s4Y6den
  • Hitt, M. A., Black, J. S., & Porter, L. W. (2012). Management (3rd ed.). Pearson Education, Inc. https://epdf.pub/management-3rd-edition-5ea6b18753bde.html
  • Howitt, D. & Cramer, D. (2017). Research methods in psychology (5th ed). Pearson Education Limited. Keller, S., & Price, C. (2011). Organizational health: The ultimate competitive advantage. McKinsey Quarterly, 2(6), 94-107. https://l24.im/qBG
  • Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed). Guilford Press.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed). Guilford Press. http://ndl.ethernet.edu.et/bitstream/123456789/74702/1/35.pdf
  • Knapp, M. S., Copland, M A., & Swinnerton, J. A. (2007). Understanding the promise and dynamics of data-informed leadership. Yearbook of the National Society for the Study of Education, 106(1), 74-104. https://doi.org/10.1111/j.1744-7984.2007.00098.x
  • Korkmaz, M. (2007). The effects of leadership styles on organizational health. Educational research quarterly, 30(3), 23-55. https://files.eric.ed.gov/fulltext/EJ787712.pdf
  • Kreitner, R. (2009). Management (11th ed.). Houghton Mifflin Harcourt Publishing Company. https://l24.im/JH6
  • Lasater, K., Albiladi, W. S., Davis, W. S., & Bengtson, E. (2020). The data culture continuum: An examination of school data cultures. Educational Administration Quarterly, 56(4), 533-569. https://sci- hub.se/10.1177/0013161x19873034
  • Leary, L. M. (2015). It is the data revolution and the year of evaluation, is your organization ready?: Assessing organizational data culture to create an ideal data ecosystem (Unpublished Master’s Thesis). SIT Graduate Institute, Washington, DC. https://digitalcollections.sit.edu/cgi/viewcontent.cgi? article=3845&context=capstones
  • Licata, J. W., & Harper, G. W. (2001). Organizational health and robust school vision. Educational Administration Quarterly, 37(1), 5-26. https://sci-hub.se/10.1177/00131610121969226
  • Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and statistical research methods: From hypothesis to results. Jossey-Bass.
  • Maritz, S. G. (2003). Data management: Managing data as an organisational resource. Acta Commercii, 2003(3), 75-84. DOI: https://doi.org/10.4102/ac.v3i1.44
  • Mehta, T. G., Atkins, M. S., & Frazier, S. L. (2013). The organizational health of urban elementary schools: School health and teacher functioning. School mental health, 5, 144-154. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736843/
  • McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological methods 23(3), 412-434. http://dx.doi.org/10.1037/met0000144
  • Muthen, L. K., & Muthen, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling: A Multidisciplinary Journal, 9(4), 599-620. https://psychology.concordia.ca/fac/kline/sem/qicss2/muthen2002.pdf
  • Obst, P. L., & White, K. M. (2004). Revisiting the sense of community index: A confirmatory factor analysis. Journal of community psychology, 32(6), 691-705. https://eprints.qut.edu.au/604/2/604.pdf
  • Olaleye, S.A. & Adusei, A.G. (2023). Exploring bibliometric perspectives on data culture in scholarly discourse. In Li, E.Y. et al. (Eds.) Proceedings of The International Conference on Electronic Business, Volume 23, 232-243. https://www.theseus.fi/bitstream/handle/10024/817273/Article.pdf?sequence=1
  • Oliver, G., Cranefield, J., Lilley, S., & Lewellen, M. J. (2023). Understanding data culture/s: Influences, activities, and initiatives: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology, 2023(1), 1-14. https://asistdl.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asi.24737
  • Quick, J. C., Macik‐Frey, M., & Cooper, C. L. (2007). Managerial dimensions of organizational health: The healthy leader at work. Journal of Management Studies, 44(2), 189-205. https://sci-hub.se/10.1111/j.1467-6486.2007.00684.x
  • Peiró, J. M., & Rodríguez, I. (2008). Work stress, leadership and organizational health. Papeles del Psicólogo, 29(1), 68-82. https://www2.papelesdelpsicologo.es/English/1540.pdf
  • Prudon, P. (2015). Confirmatory factor analysis as a tool in research using questionnaires: a critique. Comprehensive Psychology, 4(10), 1-17. https://journals.sagepub.com/doi/pdf/10.2466/03.CP.4.10
  • Robbins, S. P. ve Coulter, M. (2012). Management (11th ed.). Pearson Education, Inc. https://l24.im/6GLe8SY
  • Shek, D. T., & Yu, L. (2014). Confirmatory factor analysis using AMOS: A demonstration. International Journal on Disability and Human Development, 13(2), 191-204. https://www.academia.edu/download/54409775/cfa-amos.pdf
  • Singh, K. (2007). Quantitative social research methods. Sage Publications Inc.
  • Smith, P. A., Hoy, W. K., & Sweetland, S. R. (2001). Organizational health of high schools and dimensions of faculty trust. Journal of School leadership, 11(2), 135-151. https://sci-hub.se/10.1177/105268460101100204
  • Stockemer, D. (2019). Quantitative methods for the social sciences: A practical introduction with examples in SPSS and stata. Springer International Publishing.
  • Sutherland, S. (2004). Creating a culture of data use for continuous improvement: A case study of an Edison Project school. American Journal of Evaluation, 25(3), 277-293. https://sci-hub.se/10.1177/109821400402500302
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (6th ed). Pearson Education, Inc.
  • Thompson, B. L., Green, S. B., & Yang, Y. (2010). Assessment of the maximal split-half coefficient to estimate reliability. Educational and Psychological Measurement, 70(2), 232-251. https://l24.im/4BZF8
  • Tofighi, S., Chaghary, M., Amerioun, A., & Karimi Zarchi, A. A. (2011). Effect of organizational changes on organizational health indicators and its relationship with organizational effectiveness. Journal of Military Medicine, 13(3), 173-179. https://l24.im/KRaykq
  • Xenidis, Y., & Theocharous, K. (2014). Organizational health: Definition and assessment. Procedia Engineering, 85, 562-570. https://sci-hub.se/10.1016/j.proeng.2014.10.584

DATA CULTURE AT SCHOOL: A SCALE DEVELOPMENT STUDY

Yıl 2024, Cilt: 5 Sayı: 2, 65 - 79, 31.12.2024

Öz

The purpose of this study is to develop a valid and reliable scale to determine the different dimensions of and evaluate and the current situation of data culture at school. The study is a quantitative descriptive survey model. The sampling for exploratory factor analysis was formed of 274 and confirmatory factor analysis 308 teachers and school administrators who are on active duty in 2023-2024 educational year in Kastamonu. Data was collected through a five-item Likert scale. A four-dimension structure was formed as the result of the EFA and it was confirmed by CFA. The dimensions of data culture at school are; “data-based management”, “data management and governance”, “data-based decision making” and “data-based performance evaluation”. Internal reliability and validity was verified through Cronbach Alpha (Cronbach’s α=.780), split half method (r=.737), Spearman-Brown correlation coefficient (R=.849) and Guttman’s lambda (λ=.846). The external reliability and validity was verified by test-retest technique (first implementation n=42, second implementation n=34, r=.884, p≤.05, R=.624, p≤.05, and Kendal’s tau-b is τb=.508, p≤.05). The findings confirmed the validity and reliability of the scale.

Etik Beyan

All authors have equally contributed to the research article

Kaynakça

  • Anderson, C. (2015). Creating a data driven organization: Practical advice from the trenches. Sebastopol, CA: O’Reilly Media, Inc. https://l24.im/5awV8
  • Andrade, C. (2021). Z scores, standard scores, and composite test scores explained. Indian Journal of Psychological Medicine, 43(6), 555-557. https://journals.sagepub.com/doi/pdf/10.1177/02537176211046525
  • Bai, J., & Ng, S. (2005). Tests for skewness, kurtosis, and normality for time series data. Journal of Business & Economic Statistics, 23(1), 49-60. http://www.columbia.edu/~sn2294/pub/jbes-05.pdf
  • Bartlett, M. S. (1950). Tests of significance in factor analysis. British journal of psychology, 5(2), 109-133. https://sci-hub.se/10.1111/j.2044-8317.1952.tb00117.x
  • Bates, J. (2017) Data Cultures, Power and the City. In: Kitchin, R., Lauriault, T. and McArdle, G., (Eds.) Data and the City. Routledge, Oxon, pp. 189-200. https://l24.im/k5YIbN1
  • Bevans, K., Bradshaw, C., Miech, R., & Leaf, P. (2007). Staff‐and school‐Level predictors of school organizational health: A multilevel analysis. Journal of School Health, 77(6), 294-302. https://sci-hub.se/10.1111/j.1746-1561.2007.00210.x
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. D. A. Kenny (Edt). Methodology in the social sciences (pp. 1-100). The Guilford Press. https://epdf.tips/confirmatory-factor-analysis-for-applied-research.html
  • Büyüköztürk, Ş., Çokluk, Ö., & Köklü, N. (2013). Sosyal bilimler için istatistik (13th ed.). Pegem Akademi.
  • Büyüköztürk, Ş., Çakmak, E. K., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2008). Bilimsel araştırma yöntemleri (2. bs). Pegem Akademi.
  • Carpenter, S. (2018). Ten steps in scale development and reporting: A guide for researchers. Communication methods and measures, 12(1), 25-44. https://doi.org/10.1080/19312458.2017.1396583
  • Cemaloğlu, N. & Duykuluoğlu, A. (2002). Eğitimde veriye dayalı yönetim. Pegem akademi.
  • Cohen, L., Manion, L. & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.
  • Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2018). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (5. bs). Pegem Akademi.
  • Cokluk, O., & Kayri, M. (2011). The Effects of Methods of Imputation for Missing Values on the Validity and Reliability of Scales. Educational Sciences: Theory and Practice, 11(1), 303-309. https://files.eric.ed.gov/fulltext/EJ919903.pdf
  • Coolican, H. (2013). Research methods and statistics in psychology (5th ed). Routledge. https://l24.im/NVBjw
  • Díaz, A., Rowshankish, K., & Saleh, T. (2018). Why data culture matters. McKinsey Quarterly, 3(1), 36-53. https://l24.im/IhEzM7L
  • Engmann, S., & Cousineau, D. (2011). Comparing distributions: The two-sample Anderson-Darling test as an alternative to the Kolmogorov-Smirnoff test. Journal of applied quantitative methods, 6(3), 1-38. https://l24.im/pXQcE8j
  • Field, A. (2009). Discovering statistics using SPSS (3rd ed). Sage Publications Ltd.
  • French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling, 13(3), 378-402. https://sci-hub.se/10.1207/s15328007sem1303_3
  • Gomez-Mejia, L. R. ve Balkin, D. B. (2012). Management: People, performance, change. Pearson Education, Inc. https://epdf.pub/managementa0db94685bc6e29af82e539abae08cd816325.html
  • Gordon, K. (2007). Principles of data management: Facilitating information sharing. The British Computer Society Publishing and Information Products. https://l24.im/knhzAr
  • Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis (7th ed). Pearson Education Limited.
  • Harrington, D. (2009). Confirmatory factor analysis. In T. Tripodi (Edt.). Pocket guides to social work reseacrh methods (pp. 3-121). Oxford University Press. https://l24.im/s4Y6den
  • Hitt, M. A., Black, J. S., & Porter, L. W. (2012). Management (3rd ed.). Pearson Education, Inc. https://epdf.pub/management-3rd-edition-5ea6b18753bde.html
  • Howitt, D. & Cramer, D. (2017). Research methods in psychology (5th ed). Pearson Education Limited. Keller, S., & Price, C. (2011). Organizational health: The ultimate competitive advantage. McKinsey Quarterly, 2(6), 94-107. https://l24.im/qBG
  • Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed). Guilford Press.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed). Guilford Press. http://ndl.ethernet.edu.et/bitstream/123456789/74702/1/35.pdf
  • Knapp, M. S., Copland, M A., & Swinnerton, J. A. (2007). Understanding the promise and dynamics of data-informed leadership. Yearbook of the National Society for the Study of Education, 106(1), 74-104. https://doi.org/10.1111/j.1744-7984.2007.00098.x
  • Korkmaz, M. (2007). The effects of leadership styles on organizational health. Educational research quarterly, 30(3), 23-55. https://files.eric.ed.gov/fulltext/EJ787712.pdf
  • Kreitner, R. (2009). Management (11th ed.). Houghton Mifflin Harcourt Publishing Company. https://l24.im/JH6
  • Lasater, K., Albiladi, W. S., Davis, W. S., & Bengtson, E. (2020). The data culture continuum: An examination of school data cultures. Educational Administration Quarterly, 56(4), 533-569. https://sci- hub.se/10.1177/0013161x19873034
  • Leary, L. M. (2015). It is the data revolution and the year of evaluation, is your organization ready?: Assessing organizational data culture to create an ideal data ecosystem (Unpublished Master’s Thesis). SIT Graduate Institute, Washington, DC. https://digitalcollections.sit.edu/cgi/viewcontent.cgi? article=3845&context=capstones
  • Licata, J. W., & Harper, G. W. (2001). Organizational health and robust school vision. Educational Administration Quarterly, 37(1), 5-26. https://sci-hub.se/10.1177/00131610121969226
  • Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and statistical research methods: From hypothesis to results. Jossey-Bass.
  • Maritz, S. G. (2003). Data management: Managing data as an organisational resource. Acta Commercii, 2003(3), 75-84. DOI: https://doi.org/10.4102/ac.v3i1.44
  • Mehta, T. G., Atkins, M. S., & Frazier, S. L. (2013). The organizational health of urban elementary schools: School health and teacher functioning. School mental health, 5, 144-154. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736843/
  • McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological methods 23(3), 412-434. http://dx.doi.org/10.1037/met0000144
  • Muthen, L. K., & Muthen, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling: A Multidisciplinary Journal, 9(4), 599-620. https://psychology.concordia.ca/fac/kline/sem/qicss2/muthen2002.pdf
  • Obst, P. L., & White, K. M. (2004). Revisiting the sense of community index: A confirmatory factor analysis. Journal of community psychology, 32(6), 691-705. https://eprints.qut.edu.au/604/2/604.pdf
  • Olaleye, S.A. & Adusei, A.G. (2023). Exploring bibliometric perspectives on data culture in scholarly discourse. In Li, E.Y. et al. (Eds.) Proceedings of The International Conference on Electronic Business, Volume 23, 232-243. https://www.theseus.fi/bitstream/handle/10024/817273/Article.pdf?sequence=1
  • Oliver, G., Cranefield, J., Lilley, S., & Lewellen, M. J. (2023). Understanding data culture/s: Influences, activities, and initiatives: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology, 2023(1), 1-14. https://asistdl.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asi.24737
  • Quick, J. C., Macik‐Frey, M., & Cooper, C. L. (2007). Managerial dimensions of organizational health: The healthy leader at work. Journal of Management Studies, 44(2), 189-205. https://sci-hub.se/10.1111/j.1467-6486.2007.00684.x
  • Peiró, J. M., & Rodríguez, I. (2008). Work stress, leadership and organizational health. Papeles del Psicólogo, 29(1), 68-82. https://www2.papelesdelpsicologo.es/English/1540.pdf
  • Prudon, P. (2015). Confirmatory factor analysis as a tool in research using questionnaires: a critique. Comprehensive Psychology, 4(10), 1-17. https://journals.sagepub.com/doi/pdf/10.2466/03.CP.4.10
  • Robbins, S. P. ve Coulter, M. (2012). Management (11th ed.). Pearson Education, Inc. https://l24.im/6GLe8SY
  • Shek, D. T., & Yu, L. (2014). Confirmatory factor analysis using AMOS: A demonstration. International Journal on Disability and Human Development, 13(2), 191-204. https://www.academia.edu/download/54409775/cfa-amos.pdf
  • Singh, K. (2007). Quantitative social research methods. Sage Publications Inc.
  • Smith, P. A., Hoy, W. K., & Sweetland, S. R. (2001). Organizational health of high schools and dimensions of faculty trust. Journal of School leadership, 11(2), 135-151. https://sci-hub.se/10.1177/105268460101100204
  • Stockemer, D. (2019). Quantitative methods for the social sciences: A practical introduction with examples in SPSS and stata. Springer International Publishing.
  • Sutherland, S. (2004). Creating a culture of data use for continuous improvement: A case study of an Edison Project school. American Journal of Evaluation, 25(3), 277-293. https://sci-hub.se/10.1177/109821400402500302
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (6th ed). Pearson Education, Inc.
  • Thompson, B. L., Green, S. B., & Yang, Y. (2010). Assessment of the maximal split-half coefficient to estimate reliability. Educational and Psychological Measurement, 70(2), 232-251. https://l24.im/4BZF8
  • Tofighi, S., Chaghary, M., Amerioun, A., & Karimi Zarchi, A. A. (2011). Effect of organizational changes on organizational health indicators and its relationship with organizational effectiveness. Journal of Military Medicine, 13(3), 173-179. https://l24.im/KRaykq
  • Xenidis, Y., & Theocharous, K. (2014). Organizational health: Definition and assessment. Procedia Engineering, 85, 562-570. https://sci-hub.se/10.1016/j.proeng.2014.10.584
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Eğitim Yönetimi, Eğitim Planlaması, Eğitimde Liderlik
Bölüm Makaleler
Yazarlar

Ayhan Duygulu 0000-0002-6986-6799

Kübra Yenel 0000-0002-4237-9763

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 11 Ekim 2024
Kabul Tarihi 30 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 2

Kaynak Göster

APA Duygulu, A., & Yenel, K. (2024). DATA CULTURE AT SCHOOL: A SCALE DEVELOPMENT STUDY. Eğitim Yönetimi Ve Politikaları Dergisi, 5(2), 65-79.