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Gender as a Factor in the Prediction of Performance in Botswana General Certificate of Secondary Education Physical Education Examinations by Coursework and Forecast Grades among Senior Secondary School Students

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DOI: 10.4236/ape.2012.21006    5,466 Downloads   10,712 Views   Citations

ABSTRACT

Selection bias is an educational and a social malady which is of concern to every educator especially educational administrator when allocating educational opportunities to learners based on previous performance. Bias in predicting who passes or who fails and hence in selection exists if the same prediction equation is used for different groups, for example, for both gender when in fact such prediction, given the tests involved, is different for male and female learners. As a check for this, there is always the need to perform differential prediction for the sexes. The purpose for this descriptive study is to investigate gender as a factor in the prediction of performance in BGCSE physical examination by coursework and forecast grades among secondary school students in Botswana. The sample composed of 2292 (1432 males and 860 females) students who, based on Botswana Examination Council (BEC) records, obtained grades in coursework, forecast and BGCSE physical education grades for 2005 through 2008. The Pearson correlation and regression analyses done using SPSS revealed that though coursework and forecast grades significantly predict the BGCSE grades in physical education among senior secondary school students in Botswana, based on each year’s data, gender does not influence such prediction significantly, but for cumulative data across all the years it does.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Ramatlala, M. & Nenty, J. (2012). Gender as a Factor in the Prediction of Performance in Botswana General Certificate of Secondary Education Physical Education Examinations by Coursework and Forecast Grades among Senior Secondary School Students. Advances in Physical Education, 2, 32-37. doi: 10.4236/ape.2012.21006.

References

[1] Adeyemi, T. O. (2010). Credit in mathematics in senior secondary certificate examinations as a predictor in educational management in universities in Ondo and Ekiti States. Nigeria. Middle-East Journal of Scientific Research, 5, 235-244.
[2] Adeyemi, T. O. (2008). Predicting students’ performance in senior secondary certificate examinations from performance in junior secondary certificate examinations in Ondo State, Nigeria. Humanity & Social Sciences Journal, 3, 26-36.
[3] Akbari, R., & Alivar, N. K. (2010). L2 teacher characteristics as predictors of students’ academic achievement. The Electronic Journal for English as a Second Language, 13, 1-22.
[4] Gardner, D., & Deadrick, D. L. (2008). Understanding of performance for US minorities’ cognitive ability measures. Equal Opportunity International, 27, 455-464. doi:10.1108/02610150810882305
[5] Iramaneerat, C. (2007). Rater errors in a clinical skills assessment of medical students. Evaluation & the Health Professions, 30, 266-283. doi:10.1177/0163278707304040
[6] Kobrin, J. F., Patterson, B. F., Shaw, E. J., Mattern, K. D., & Barbuti, S. M. (2008). Validity of the SAT? for predicting first-year college grade point average. College Board Report No. 2008-5.
[7] Kyei-Blankson, L. S. (2005). Predictive validity, differential validity, and differential prediction of the subtests of the medical college admission test. Unpublished Doctoral Dissertation, Athens, OH: Ohio University.
[8] Little, C. (1992). GCSE coursework: A retrospective assessment. Teaching Mathematics and Its Applications, 11, 56-63. doi:10.1093/teamat/11.2.56
[9] Masole, T. M., & Utlwang, A. (2005). The reliability of forecast grades in predicting students’ performance in the final Botswana General Certificate of Secondary Education Examinations.
[10] Nenty, H. J. (1979). An empirical assessment of the culture fairness of the Cattel Culture Fair Intelligence Test using the Rasch Latent Trait Measurement Model. Unpublished Doctoral Dissertation, Kent, OH: Kent State University.
[11] Ramatlala, M. S. (2009). The validity of coursework scores in predicting performance in Botswana General Certificate of Secondary Education Physical Education examinations among senior secondary school students in Botswana. Unpublished Master’s Thesis, Gaborone: University of Botswana.
[12] Robins, K. (1997). What in the world’s going on? In P. D. Gay (Ed.), Production of culture/cultures of production. London: Sage/Open University.
[13] Thobega, M., & Masole, T. M. (2008). Relationship between forecast grades and component scores of the Botswana General Certificate of Secondary Education Agriculture.
[14] Young, J. W. (2001). Differential validity, differential prediction, and college admission testing: A comprehensive review and analysis. College Board Research Report No. 2001-6. New York: College Entrance Examination Board.
[15] Young, J. W. (1991). Gender bias in predicting college academic performance: A new approach using item response theory. Journal of Educational Measurement, 28, 37-47. doi:10.1111/j.1745-3984.1991.tb00342.x

  
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