Research Article

Towards Understanding Test Score Pollution in Ghana: Test Preparation Practices, Test Administration Situations and External Factors as Predictors

Simon Ntumi 1 * , Sheilla Agbenyo 2 , Tapela Bulala 3
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1 Department of Educational Foundations, Faculty of Educational Studies, University of Education, Winneba, West Africa, GHANA2 Bia Lamplighter College of Education, West Africa, GHANA3 Botswana University of Agriculture and Natural Resources, Southern Africa, BOTSWANA* Corresponding Author
Mediterranean Journal of Social & Behavioral Research, 6(3), October 2022, 85-91, https://doi.org/10.30935/mjosbr/12323
Published: 09 August 2022
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ABSTRACT

Background: Test score pollution explains how multifaceted factors affect the truthfulness of a test score interpretation. The pressure to raise test scores has resulted in practices which pollute the inferences we make from these scores. Issues of accurate testing remains relevant in the space of any testing environment in Ghana and beyond. This study explored the different sources of test score pollution considered test preparation practices (teacher factor), test administration situations (testing environment), and external factors (parents and community pressure).
Methods: The study was nested into the quantitative approach using descriptive survey. Basic school teachers (n=353) and parents (n=123) were selected from three districts (South, North and Central Tongu) in the Volta region using G*Power software. A validated and standardized instrument (with alpha coefficient of .783 and correlation coefficient of .823) was used to obtain the data. The obtained data was analyzed using SPSS v.25 and interpreted with linear multiple regression after the data had met all the required assumptions.
Findings: The results revealed that all the predictive factors that is test preparation practices (t=4.73, Sig.=.007, CI95%), test administration situations (t=4.20, Sig.=.006, CI95%) and parents and community pressure (t=2.69, Sig.=.000, CI95%) predicted test score pollution in the selected districts. However, among all the predictor variables, test administration situations (testing environment or conditions) were identified as having much influence on test score pollutions in the districts (R2 =.652, 65.2%, Sig.=.000, ꞵ=.616, CI95%).
Conclusion: The study concluded that due to test score pollution, most test practices in Ghana are not at its optimal best. Clearly, the demand and the pressure to raise test scores results pollute and contaminate the interpretations, inferences and decisions that are made from these test scores.

CITATION (APA)

Ntumi, S., Agbenyo, S., & Bulala, T. (2022). Towards Understanding Test Score Pollution in Ghana: Test Preparation Practices, Test Administration Situations and External Factors as Predictors. Mediterranean Journal of Social & Behavioral Research, 6(3), 85-91. https://doi.org/10.30935/mjosbr/12323

REFERENCES

  1. Akaranga, S. I., & Ongong, J. J. (2013). The phenomenon of examination malpractice: An example of Nairobi and Kenyatta Universities. Journal of Education and Practice, 4(18), 87-96.
  2. Akyeampong, K. (2007). 50 years of educational progress and challenge in Ghana. http://sro.sussex.ac.uk/id/eprint/2415/
  3. Amedahe, F. K. (2000). Continuous assessment [Unpublished paper]. University of Cape Coast, Ghana.
  4. Anane, E. (2008). High stakes testing, curriculum implementation and instruction. LAP LAMBERT Academic Publishing.
  5. Azizeh, C., & Mansoor, T. (2010). Sources of test score pollution: State of the art [Master’s thesis, Islamic Azad University].
  6. Bachman, L., Cushing, S. T., & Purpura, J. E. (2013). Designing a research questionnaire to explore test taker characteristics [Paper presentation]. TESOL.
  7. Buzick, H. M., & Jones, N. D. (2015). Using test scores from students with disabilities in teacher evaluation. Educational Measurement: Issues and Practice, 34(3), 28-38.https://doi.org/10.1111/emip.12076
  8. Chalak, A., & Tavakoli, M. (2010). Sources of test score pollution: State of the art. Curriculum Planning Knowledge & Research in Educational Sciences, 7(26), 13-34.
  9. Chapman, D. W., & Snyder, C. W. (2019). Can high stakes national testing improve instruction: Re-examining conventional wisdom. International Journal of Educational Development, 20(5), 457-474. https://doi.org/10.1016/S0738-0593(00)00020-1
  10. Cohen, L., Manion, L., & Morrison, K. (2017). Validity and reliability. In L. Cohen, L. Manion, & K. Morrison (Eds.), Research methods in education (pp. 245-284). Routledge. https://doi.org/10.4324/9781315456539-14
  11. Dolly, J., & Williams, K. (1983). Teaching test-wiseness [Paper presentation]. The Annual Meeting of the Northern Rocky Mountain Educational Research Association.
  12. Dreisbacha, M., & Keogh, B. (2012). Test-wiseness as a factor in readiness test performance of young Mexican-American children. Journal of Educational Psychology, 74(2), 224-229. https://doi.org/10.1037/0022-0663.74.2.224
  13. Filson, Y., & Brown, M. (2018). Effects of test anxiety and testing conditions on intelligence scores of elementary school boys and girls. Psychological Reports, 32(2), 643-649. https://doi.org/10.2466/pr0.1973.32.2.643
  14. Flippo, H., & Caverly, D. C. (2008). Handbook of college reading and study strategy research. Rouledge. https://doi.org/10.4324/9780203894941
  15. Flippo, R. F., Becker, M. J., & Wark, D. M. (2019). Test taking. In R. F. Flippo, & D. C. Caverly (Eds.), Handbook of college reading and study strategy research (pp. 121-144). Routledge.
  16. Genshaft, J., & Kirwin, P. (2018). Improving the study skills of at-risk students. Special Services in Schools, 5(3), 109-130. https://doi.org/10.1300/J008v05n03_07
  17. George, D., & Mallery, P. (2012). IBM SPSS statistics 21 step by step. Allyn.
  18. Gerald, B. (2018). A brief review of independent, dependent and one sample t-test. International Journal of Applied Mathematics and Theoretical Physics, 4(2), 50-54. https://doi.org/10.11648/j.ijamtp.20180402.13
  19. Grant, S. G. (2015). High-stakes testing: How are social studies teachers responding? In W. C. parker (Ed.), Social studies today: Research and practice (pp. 53-62). Routledge. https://doi.org/10.4324/9781315726885-11
  20. Gyimah, K. A. (2012). An evaluation of the practice of continuous assessment in the secondary schools in the Ashanti Region of Ghana [Unpublished master’s thesis]. University of Cape Coast, Ghana.
  21. Haladyna, T. (2016). Test score pollution: Implications for limited English proficient students. In Proceedings of the 2nd National Research Symposium on Limited English Proficient Student Issues: Focus on Evaluation and Measurement (pp. 135-163).
  22. Haladyna, T. M., Nolen, S. B., & Haas, N. S. (1991). Raising standardized achievement test scores and the origins of test score pollution. Educational Researcher, 20(5), 2-7. https://doi.org/10.3102/0013189X020005002
  23. Haladyna, T., Haas, N., & Nolen, S. (2018). Test score pollution [Paper presentation]. The Annual Meeting of the American Educational Research Association.
  24. Hargett, G. (2016). Test score pollution: Implications for limited English proficient students. In Proceedings of the 2nd National Research Symposium on Limited English Proficient Student Issues: Focus on Evaluation and Measurement.
  25. Hoover, J. P. (2012). A dozen ways to raise students’ test performance. Principal, 81(3), 17-18.
  26. Jones, M. G., Jones, B. D., Hardin, B., Chapman, L., Yarbrough, T., & Davis, M. (2019). The impact of high-stakes testing on teachers and students in North Carolina. Phi Delta Kappan, 81(3), 199-203.
  27. Kubiszyn, T., & Borich, G. D. (2016). Educational testing and measurement. John Wiley & Sons.
  28. Maylone, N. (2014). Do tests show more than “test think”? The Education Digest, 69(8), 16-20.
  29. Mereku, K. (2000). The BECE grading system committee report: Implications for minimum educational qualifications for basic education certificate. SAGE.
  30. Mitchell, N. (2007). Error labelled four schools as failing. Spanish-language tests were thrown out by computer. Rocky Mountain News. http://www.rockymountainnews.com
  31. Nathans, L. L., Oswald, F. L., & Nimon, K. (2012). Interpreting multiple linear regression: A guidebook of variable importance. Practical Assessment, Research, and Evaluation, 17(1), 9.
  32. NCME. (2014). Standards for educational and psychological testing. Reduce standardized testing to improve accountability, school quality. National Council on Measurement in Education. http://idea.gseis.ucla.edu/newsroom/educationnewsroundup
  33. Newman, L. A., Madaus, J. W., Lalor, A. R., & Javitz, H. S. (2020). Effect of accessing supports on higher education persistence of students with disabilities. Journal of Diversity in Higher Education, 42(1), 6-16.
  34. Nitko, A. J. (2001). Educational assessment of students. Prentice-Hall.
  35. Nolen, S. B., Haladyna, T. M., & Haas, N. S. (2016). Uses and abuses of achievement test scores. Educational Measurement: Issues and Practice, 11(2), 9-15. https://doi.org/10.1111/j.1745-3992.1992.tb00234.x
  36. Oakland, T. (2017). The effects of test-wiseness materials on standardized test performance of preschool disadvantaged children. Journal of School Psychology, 10(4), 355-360. https://doi.org/10.1016/0022-4405(72)90004-0
  37. Petty, N., & Harrell, E. (2017). Effect of programmed instruction related to motivation, anxiety, and test wiseness on group IQ test performance. Journal of Educational Psychology, 69(5), 630-635. https://doi.org/10.1037/0022-0663.69.5.630
  38. Roger, D. (2012). An empirical investigation of the effects of the adoption of a secured process on the uniform certified public accountant examination [PhD dissertation, The University of Mississippi].
  39. Smith, M. L. (2012). Put to the test: The effects of external testing on teachers. Educational Researcher, 20(5), 8-11. https://doi.org/10.3102/0013189X020005008
  40. Stricker, L. J. (2013). Test-wiseness on personality scales. Journal of Applied Psychology, 53(3), 1-17. https://doi.org/10.1037/h0027380
  41. Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics. Pearson.
  42. Tamakloe, E. K., Atta, E. T., & Amedahe, F. K. (2005). Principles and methods of teaching. Black Mask Ltd.
  43. Thomas, A., Hertzig, M., Dryman, I., & Fernandez, P. (2001). Examiner effect in IQ testing of Puerto Rican working-class children. American Journal of Orthopsychiat, 4(5), 809-821. https://doi.org/10.1111/j.1939-0025.1971.tb00747.x
  44. Wagaman, J. (2019). Raising high school reading test scores: Factors that affect reading scores. http://www.suite101
  45. Wall, D. (2018). The impact of high-stakes testing on teaching and learning: Can this be predicted or controlled? System, 28(4), 499-509. https://doi.org/10.1016/S0346-251X(00)00035-X