Measuring Change in UTME Use of English through Pre and PostTest Analysis

Measuring Change in UTME Use of English through Pre and PostTest Analysis

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Measuring Change in UTME Use of English through Pre and PostTest Analysis

Pre-test and post-test studies are used primarily for the purpose of comparing groups and/or measuring&#160,change resulting from experimental treatments. The rationale for this study is to explore the use of pre and -posttest analysis method to measure change in UTME Use of English as well as to establish&#160,relationships. Experimental treatment was used with the nonrandomized control group pre-test-posttest design. This is because the participants are not randomly assigned to groups. Statistical methods&#160,often used include: Analysis of Variance (ANOVA) on the gain scores, Analysis of Covariance(ANCOVA), ANOVA on Residual scores and Repeated Measures ANOVA. This study will explore&#160,the use of ANCOV A method which tends to reduce error variances and systematic bias. The purpose&#160,of the study is to find out the power of this regression-based method (ANCOVA) in detecting differencein mean change between the Pre and Post-test scores in UTME Use of English. The idea of pre and post&#160,testing of students is often accepted as a feasible method of assessing the extent to which an educational&#160,intervention has had an impact on student &#39,learning&#39,. In this analysis, comparison was carried out on&#160,groups to establish the differences between pretest (treatment) with respect to their posttest&#160,measurements sometimes called change scores. The methodology employed is the one-way&#160,experimental design. A random sample of 1,990responsesfrom 2012 Use of English pretest and 2013posttest on same subject was used. This experiment was carried out using ANCOVA method. The result&#160,showed no significant differences in the adjusted means of the pair-wise comparisons across the five&#160,groups of candidates&#8217, discipline of study.Keywords: ANCOVA, systematic bias, error variance, pretest, posttest.

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