Journals / Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi / 2021 / Cilt: 12 - Sayı: 2

Using Generalizability Theory to Investigate the Reliability of Scores Assigned to Students in English Language Examination in Nigeria

Pages
147–162
Publication Date
2021-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicated the g-coefficient to be 0.90 and Φ coefficient as 0.87, which is an indication of high reliability of scores.

📌 3 Key Takeaways

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Objective & Hypothesis:The study investigated the reliability of scores assigned to students in English language in National Examinations Council (NECO).
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Key Findings & Data:The population consisted of all the students who sat for NECO Senior School Certificate Examination (SSCE) in 2017 in Nigeria.
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Conclusion & Impact:The results indicated the g-coefficient to be 0.90 and Φ coefficient as 0.87, which is an indication of high reliability of scores.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Reliability · Validity · English Language

Abstract

The study investigated the reliability of scores assigned to students in English language in National Examinations Council (NECO). The population consisted of all the students who sat for NECO Senior School Certificate Examination (SSCE) in 2017 in Nigeria. A sample of 311,138 was selected using the proportionate stratified sampling technique. The Optical Marks Record (OMR) sheet containing the responses of the examinees was the instrument for the study. The data was analyzed using lme4 package of R language and environment for statistical computing, factor analysis and Tucker index of factor congruence. The psychometric properties of the data were determined by estimating the generalizability (g) coefficient, phi (Φ) coefficient and construct validity. The results indicated the g-coefficient to be 0.90 and Φ coefficient as 0.87, which is an indication of high reliability of scores. The result also showed that a decrease in the number of the items resulted in a decrease in both g- and phi coefficients in D-study. The construct validity of 0.99 obtained from the result affirms the credibility of the items. Hence, it was concluded that the scores were dependable and generalizable.

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Cite This Article

AKİNDAHUNSİ, O., AFOLABI, E. R. I. (2021). Using Generalizability Theory to Investigate the Reliability of Scores Assigned to Students in English Language Examination in Nigeria. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, Cilt: 12 - Sayı: 2, 147–162. https://ajindex.com/articles/218019

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References (4)

  1. Alkharusi, H. (2012). Generalizability theory: An analysis of variance approach to measurement problems in educational assessment. Journal of Studies in Education, 2(1), 184-196. doi: 10.5296/jse.v2i1.1227 Bates, D., Mächler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. doi: 10.18637/jss.v067.i01 Breithaupt, K. (2011). Medical licensure testing: White paper for the assessment review task force of the medical council of Canada. Retrieved from https://www.mcc.ca/wp-content/uploads/Technical-Reports-Breithaupt-2011.pdf
  2. Brennan, R. L. (2001). Generalizability theory. New York: Springer. Brennan, R. L. (2003). Coefficients and indices in generalizability theory (CASMA Research Report Number 1). Iowa: Centre for Advanced Studies in Measurement and Assessment. Crocker, L., & Algina, J. (2008). Introduction to classical and modern test theory. U.S.A: Cengage Learning. de Gruijter, D. N., & van der Kamp, L. J. Th. (2008). Statistical test theory for the behavioural sciences. New York: Chapman & Hall/CRC. de Vries, I. M. (2012). An analysis of test construction procedures and score dependability of a paramedic recertification exam (Master’s thesis). Queen’s University Kingston, Ontario, Canada. Desjardins, C. D., & Bulut, O. (2018). Handbook of educational measurement and psychometrics using R (1st Ed). Parkway, Boca Raton: Chapman and Hall/CRC Press. doi: 10.1201/b20498 Fosnacht, K., & Gonyea, R. M. (2018). The dependability of the updated NSSE: A generalizability study. Research and Practice in Assessment 13, 62-73. Retrieved from https://eric.ed.gov/?id=EJ1203503
  3. Gugiu, M. R., Gugiu, P. C., & Baldus, R. (2012). Utilizing generalizability theory to investigate the reliability of the grades assigned to undergraduate research papers. Journal of Multidisciplinary Evaluation, 8(19), 26-40. Retrieved from https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/362
  4. Johnson, S., & Johnson, R. (2009). Conceptualising and interpreting reliability. Coventy: Ofqual Junker, B. W. (2012). Some aspects of classical reliability theory and classical test theory. Department of Statistics, Carnegie Mellon University, Pittsburgh. Kamis, O., & Dogan, C. D. (2018). An investigation of reliability coefficients estimated for decision studies in generalizability theory. Journal of Education and Learning, 7(4), 103-113. doi: 10.5539/jel.v7n4p103 Li, M., Shavelson, R. J., Yin, Y., & Wiley, W. (20