Development and Psychometric Properties of the Metacognitive Skills Scale among Primary Schools Students in Egypt

Authors

  • Dr. Gamal Mohamed Ali Ain-Shams University. Author

DOI:

https://doi.org/10.61841/nevw2970

Keywords:

Metacognitive Skills Scale,, Reliability, Construct Validity

Abstract

The current study attempts to examine the structure and psychometric properties of metacognitive skills scale for primary school students in Egypt. The study questions addressed were: What is the factorial structure of the metacognitive skills scale among a sample of primary school students? Is the metacognitive skills scale have appropriate psychometric properties? A total of 120 students from Egypt completed the scale of metacognitive skills, including males (N= 44) and females (N= 76).The students ranged in age from 11.2 to 12.3 with an average age

11.7 and S.D. 0.84. Confirmatory factor analysis (CFA) was used. The results indicate that the structure of metacognitive skills scale is fit and the scale has appropriate psychometric properties.

 

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References

[1] Al – Dawaideh, A., & Al-Saadi, I. (2013).Assessing metacognitive awareness of reading strategy use for students from the faculty of education at the university of king Abdulaziz, Mevlana. International Journal of Education (MIJE), 3(4): 223-235.

[2] Bellon, E. Fias, W,. De Smedt, B. (2020). Metacognition across domains: Is the association between arithmetic and metacognitive monitoring domain-specific? PLOS ONE, 15(3), 1-19.

[3] Djudin, T. (2017). Using Metacognitive Strategies to Improve Reading Comprehension and Solve a Word Problem. Journal of Education, Teaching and Learning (JETL). 2 (1), 124-129.

[4] Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive developmental inquiry.

American Psychologist , 34 (10), 906-911.

[5] Ghaith, G. & El-Sanyoura, H.(2019). Reading comprehension: The mediating role of metacognitive strategies, Reading in a Foreign Language, 31(1), 19-43.

[6] Gupta, M. & Bashir, L. (2019). Validation of metacognitiion questionnaire in indian context, International Journal of Recent Technology and Engineering, 7 (65), 1786- 1789.

[7] Hacker, D. (2005). Metacognition: Definitions and empirical foundations. The University of Memphis

[8] Klusmann, V., Evers, A., Schwarzer, R. et al.(2011). A brief questionnaire on metacognition: psychometric properties. Aging Ment Health; 15, 1052–1062.

[9] O’Neil, H.& Abedi, J. (1996): Reliability and Validity of a State Metacognitive Inventory: Potential for Alternative Assessment. The Journal of Education Research, 89, 4, 234-245.

[10] Sudhir, R., Prathyusha, V., & Thirthalli, J.(2020). Emotion Recognition, Emotion Awareness, Metacognition, and Social Functioning in Persons with Schizophrenia, Indian Journal of Psychological Medicine, 42(2), 147-156.

[11] Zachary, W. (2000). Incorporating metacognitive capabilities in synthetic cognition. Presented in the Proceedings of the Ninth Conference on computer Generated Forces and Behavioural Representation.

[12] Zhang, L. & Seepho, S. (2013).Metacognitive strategy use and academic reading achievement: insights from a Chinese context. Electronic Journal of Foreign Language Teaching, 10(1), 54-69.

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Published

30.06.2020

How to Cite

Ali, D. G. M. (2020). Development and Psychometric Properties of the Metacognitive Skills Scale among Primary Schools Students in Egypt. International Journal of Psychosocial Rehabilitation, 24(4), 7310-7314. https://doi.org/10.61841/nevw2970