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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  • Create Date August 2, 2018
  • Last Updated August 2, 2018

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 ,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 ,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 ,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 ,the use of ANCOV A method which tends to reduce error variances and systematic bias. The purpose ,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 ,testing of students is often accepted as a feasible method of assessing the extent to which an educational ,intervention has had an impact on student ',learning',. In this analysis, comparison was carried out on ,groups to establish the differences between pretest (treatment) with respect to their posttest ,measurements sometimes called change scores. The methodology employed is the one-way ,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 ,showed no significant differences in the adjusted means of the pair-wise comparisons across the five ,groups of candidates’, discipline of study.Keywords: ANCOVA, systematic bias, error variance, pretest, posttest.

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