Metacognition Proficiency Scale Designed For Preschool Educators (MEPS)

Year 2025, Volume: 12 Issue: 2, 484 - 503, 30.08.2025

Ela Sümeyye Seçim , Ensar Yıldız

https://doi.org/10.30900/kafkasegt.1501935

Abstract

Through social transfers and adult-provided surroundings, children learn through observation and experience. The foundations of many skills are established throughout the preschool years. During this time, instructors' knowledge, abilities, and competences become more significant because they are important for children's skill acquisition in alongside formal schooling. The purpose of this study was to establish a reliable and strong instrument for assessing preschool instructors' metacognitive abilities. Convenience sampling was used to gather data from 414 preschool teachers using the survey methodology. The data was analyzed using Jamovi version 2.4.8, and SPSS 24.0 package packages. The validity of the construct was determined by applying factor analysis, both confirmatory and exploratory; content validity was tested through the application of the Lawshe Technique. Cronbach alpha values, item difficulty, item discrimination, and reliability were measured. The study led to the development of the Metacognition Proficiency Scale for Preschool Teachers (MEPS), which has 16 items, three dimensions (metacognitive competence, metacognitive knowledge, and metacognitive support), a Cronbach's alpha value of.75, and 77.817% of the total variance explained.

Keywords

Metacognition , metacognitive competence , metacognitive knowledge , metacognitive support , preschool teacher

Ethical Statement

The study was reviewed and approved by the Ethics Committee of Sivas Cumhuriyet University, Social and Human Sciences Ethics Board (Approval Number: 2023-01-30, Approval Date: 31 January 2023).

Thanks

The Metacognition Proficiency Scale Designed For Preschool Educators (MEPS) (In Appendix 1, the full version of the scale is provided.) developed as part of this study may be freely used for research purposes, provided that appropriate citation is given. No additional permission is required for its use in academic research. However, for any adaptations, translations, or commercial use of the scale, it is recommended to contact the authors.

References

• Adelson, J. L., & McCoach, D. B. (2010). Measuring the mathematical attitudes of elementary students: The effects of a 4-point or 5-point Likert-type scale. Educational and Psychological Measurement, 70(5), 796-807. https://doi.org/10.1177/0013164410366694
• Akin, A., Abaci, R., & Cetin, B. (2007). The validity and reliability of the Turkish version of the Metacognitive Awareness Inventory. Kuram ve Uygulamada Eğitim Bilimleri, 7(2), 671–678.
• Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2007). Sosyal bilimlerde araştırma yöntemleri SPSS uygulamalı. Sakarya Yayıncılık.
• Atılgan, H. (2019). Eğitimde ölçme ve değerlendirme (12th ed.). Anı Yayıncılık.
• Bademci, V. (2011). Kuder-Richardson 20, Cronbach’s alpha, Hoyt’s analysis of variance, generalizability theory, and measurement reliability: A study. Dicle Üniversitesi Ziya Gökalp Eğitim Fakültesi Dergisi, (17), 173–193.
• Başaran, İ. E. (1994). Eğitim yönetimi. Gül Yayınevi.
• Brown, A. L. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 66–116). Lawrence Erlbaum Associates.
• Büyüköztürk, Ş., Çakmak, E., Akgün, Ö., Karadeniz, Ş., & Demirel, F. (2014). Bilimsel araştırma yöntemleri (10th ed.). Pegem Akademi.
• Büyüköztürk, Ş. (2022). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum (29. baskı). Pegem Akademi.
• Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge
• Carr, M., Kurtz, B. E., Schneider, W., Turner, L. A., & Borkowski, J. G. (1989). Strategy acquisition and transfer among American and German children: Environmental influences on metacognitive development. Developmental Psychology, 25(5), 765–771. https://doi.org/10.1037/0012-1649.25.5.765
• Chatzipanteli, A., Grammatikopoulos, V., & Gregoriadis, A. (2014). Development and evaluation of metacognition in early childhood education. Early Child Development and Care, 184(8), 1223–1232. https://doi.org/10.1080/03004430.2013.861456
• Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press.
• Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
• DeVellis, R. F. (2014). Scale development: Theory and applications (3rd ed.). Nobel Yayıncılık.
• DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications (5th ed.). Sage Publications. Erden, M., & Akman, Y. (2014). Eğitim psikolojisi. Arkadaş.
• Erkuş, A. (2012). Psikolojide ölçme ve ölçek geliştirme. Pegem Akademi.
• Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.
• Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
• Flavell, J., Miller, P., & Miller, S. (1999). Cognitive development (3rd ed.). Artes Médicas.
• Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
• Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18, 382-388. http://dx.doi.org/10.2307/3150980
• Fraenkel, J. R., & Wallen, N. E. (2009). How to design and evaluate research in education. McGraw-Hill.
• George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference (4th ed.). Allyn & Bacon.
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
• Hu, L‑T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Jacoby, J., & Matell, M. S. (1971). Three-point Likert scales are good enough. Journal of Marketing Research, 8(4), 495-500. https://doi.org/10.1177/002224377100800414
• Jöreskog, K. G., & Sörbom, D. (1996). LISREL 8: User's reference guide. Scientific Software International.
• Kaya, F., & Yıldız, A. (2019). Development of a scale for metacognitive strategies in teaching. International Journal of Contemporary Educational Research, 6(1), 112–126. https://doi.org/10.33200/ijcer.540035
• Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A researcher's guide. Sage.
• Korkmaz, Ö. (2009). Teachers’ critical thinking tendencies and levels. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 10(1), 1–13.
• Krosnick, J. A., & Presser, A. (2010). Question and Questionnaire Design. In P. V. Marsden, & J. D. Wright (Eds.), Handbook of Survey Research (2nd ed., pp. 264-313). Bingley, UK: Emerald.
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
• Lubis, Q., Mesiono, Azhar, Faisal, & Kholid, A. (2023). Internal Communication Function of Madrasah Principal (Communication Analysis at Elementary Education Institutions). Jurnal Basicedu, 7(1), 944–954.
• MacCallum, R. C., Widaman, K. F., Preacher, K. J., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36(4), 611–637. https://doi.org/10.1207/S15327906MBR3604_06
• Maric, M., & Sakac, M. (2020). Metacognition in preschool children—Indicators, developmental and socio-educational differences. Československá Psychologie: Časopis Pro Psychologickou Teorii a Praxi, 64(1), 1–17.
• Marliyani, N., & Suradijono, S. H. (2019). Parental beliefs and children’s metacognitive awareness. Advances in Social Science, Education and Humanities Research, 229, 111–120. https://doi.org/10.2991/iciap-18.2019.9
• Millî Eğitim Bakanlığı [MEB]. (2013). Okul öncesi eğitim programı https://tegm.meb.gov.tr/dosya/okuloncesi/ooproram.pdf
• Millî Eğitim Bakanlığı [MEB]. (2017). Öğretmenlik meslek bilgisi özel alan yeterlikleri. Retrieved February 20, 2025, from https://oygm.meb.gov.tr/meb_iys_dosyalar/2017_12/18175618_ogretmenlik_meslek_bilgisi_ozel_alan_yeterlikleri.pdf
• Melhuish, E. (2016). Longitudinal research and early years policy development in the UK. International Journal of Child Care and Education Policy, 10(1), 1–18. https://doi.org/10.1186/s40723-016-0019-1
• Melhuish, E., Gardiner, J. & Morris, S. (2017). Study of Early Education and Development (SEED): Impact Study on Early Education Use and Child Outcomes up to Age Three. DFE-RR706. London: DfE. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1034423/SEED-Age_3_RESEARCH_REPORT.pdf
• Mesiono, Latif, H., Siti Rahma, I., Dermawan, M. R., & Elfin, N. (2023). Organizational Communication between Principals, Educators, and Educational Staff of Elementary Education Institution. Jurnal Basicedu, 3(2), 524–532.
• Metcalfe, J., & Kober, H. (2005). Self-reflective consciousness and the projectable self. In H. S. Terrace & J. Metcalfe (Eds.), The missing link in cognition: Origins of self-reflective consciousness (pp. 57–83). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195161564.003.0002
• Molenaar, I., & Järvelä, S. (2014). Sequential and temporal characteristics of self- and socially regulated learning. Metacognition and Learning, 9, 75–85. https://doi.org/10.1007/s11409-014-9114-2
• Nunnally, J. (1978). Psychometric methods. McGraw Hill.
• Ocak, S. (2010). The effects of child-teacher relationships on interpersonal problem-solving skills of children. Infants and Young Children, 23(4), 312–322.
• Özdamar, K. (2015). Paket programlarla istatistiksel veri analizi-1 (4th ed.). Kaan Kitabevi.
• Perry, J., Lundie, D., & Golder, G. (2019). Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools?. Educational Review, 71(4), 483-500. https://doi.org/10.1080/00131911.2018.1441127
• Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Focus on research methods: Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199
• Rani, M., & Duhan, K. (2020). Influence of home environment and mental health on metacognitive skill in adolescents. The Pharma Innovation Journal, 9(7), 81–86.
• Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
• Seçer, İ. (2015). Psikolojik test geliştirme ve uyarlama süreci: Kuramdan uygulamaya. Anı Yayıncılık.
• Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
• Schneider, W. (2008). The development of metacognitive knowledge in children and adolescents: Major trends and implications for education. Mind, Brain, and Education, 2(3), 114–121.
• Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460–475. https://doi.org/10.1006/ceps.1994.1033
• Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational. Psychology Review, 7(4), 351–371. https://doi.org/10.1007/BF02212307
• Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1-2), 111–139. https://doi.org/10.1007/s11165-005-3917-8
• Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.
• Şencan, H. (2005). Reliability and validity in social and behavioral measurements (1st ed.). Seçkin Publishing.
• Soodla, P., Jõgi, A. L., & Kikas, E. (2017). Relationships between teachers’ metacognitive knowledge and students’ metacognitive knowledge and reading achievement. European Journal of Psychology of Education, 32(2), 201–218.
• Spor, M. W., & Schneider, B. K. (1999). Content reading strategies: What teachers know, use, and want to learn. Reading Research and Instruction, 38(3), 221–231.
• Spor, M. W., & Schneider, B. K. (2001). A quantitative description of the content reading practices of beginning readers. Reading Horizons, 41(4), 257–273.
• Sternberg, R. J., & Davidson, J. E. (1983). Insight in the gifted. Educational Psychologist, 18(1), 51–57. https://doi.org/10.1080/00461528309529261
• Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Pearson.
• Tavşancıl, E. (2022). Tutumların ölçülmesi ve SPSS ile veri analizi (7. baskı). Nobel Akademik Yayıncılık.
• Tuncer, M., & Kaysi, F. (2013). Öğretmen adaylarının üstbiliş becerileri ölçeğinin geliştirilmesi. Turkish Studies, 8(9), 2057-2071. https://doi.org/10.7827/TurkishStudies.5213
• Topcu, M. S., & Yılmaz-Tüzün, Ö. (2009). Elementary students’ metacognition and epistemological beliefs considering science achievement, gender and socioeconomic status. Elementary Education Online, 8(3), 676–693.
• Veenman, M. V. J., Van Hout-Wolters, B., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1(1), 3–14. https://doi.org/10.1007/s11409-006-6893-0
• Wilson, N. S., & Bai, H. (2010). The relationships and impact of teachers' metacognitive knowledge and pedagogical understandings of metacognition. Metacognition and Learning, 5(3), 269–288. https://doi.org/10.1007/s11409-010-9062-4
• Yurdugül, H. (2005, Sep.). The use of content validity indexes for content validity in scale development studies. In 14th National Educational Sciences Congress Proceedings, Denizli, Türkiye. https://yunus.hacettepe.edu.tr/~yurdugul/3/indir/PamukkaleBildiri.pdf
• Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
• Zohar, A. (2006). The nature and development of teachers’ metastrategic knowledge in the context of teaching higher order thinking. The Journal of the Learning Sciences, 15(3), 331–377.
• Zohar, A., & Barzilai, S. (2013). A review of research on metacognition in science education: Current and future directions. Studies in Science Education, 49(2), 121–169. https://doi.org/10.1080/03057267.2013.847261