Utilizing Graeco-Latin Square Design to Improve Teaching and Learning Outcomes in Secondary Education
Keywords:
Graeco–Latin Square Design Experimental Design and ANOVA Teaching Methods Evaluation Student Academic Performance Orthogonal Design AnalysisAbstract
This study applies the Graeco–Latin square experimental design, an extension of the
classical Latin square design, to evaluate the joint effects of multiple instructional
factors on students’ academic performance while controlling for nuisance variability. The
Graeco–Latin square framework enables the simultaneous investigation of four factors—
rows, columns, Latin treatments, and Greek treatments—without confounding, thereby
ensuring orthogonality and efficient estimation of main effects within a balanced design
structure. The empirical application focuses on six classes of students exposed to six
subjects, taught by six different teachers employing six distinct teaching methods
across six instructional periods. Academic performance was operationalized using
students’ failure rates, and the dataset was analyzed using Minitab 17. Descriptive
statistics revealed that Senior Secondary 3 (SS3) students exhibited the best
performance, with the lowest mean failure rate (21.33%). Subjects taught by Aishatu
(Biology and Basic Science) recorded comparatively lower failure rates (22.67%), while
Method C (deductive teaching approach) yielded improved outcomes (21.91%).
Additionally, the sixth instructional period (ζ) demonstrated the most favorable
performance, with a minimum average failure rate of 19.25%. Inferential analysis using
analysis of variance (ANOVA) indicated that the p-values associated with the four
factors—classes (0.594), teachers (0.646), teaching methods (0.571), and instructional
periods (0.604)—exceeded the conventional significance threshold (α = 0.05).
Consequently, the null hypotheses were not rejected, suggesting that variations across
these factors are statistically insignificant. The findings imply that, within the
experimental constraints, no single factor exerts a dominant influence on student
performance, highlighting the robustness of the instructional system under study.
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