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1014 THEORY AND PRACTICE IN LANGUAGE STUDIESTABLE 6INDEPENDENT SAMPLES TEST FOR THE PRE-TEST INDEPENDENT SAMPLES TESTLevine's Test for Equality of Variances T-test for Equality of MeansF Sig. t dfPre-test scoresPre-test scoresPre-test scoresEqual variances assumed 1.530 .221 -.158 58Equal variances not assumed -.158 56.071T-test for Equality of MeansSig. (2-tailed) Mean Difference Std. Error DifferenceEqual variances assumed .875 -.20000 1.26633Equal variances not assumed .875 -.20000 1.26633INDEPENDENT SAMPLES TESTT-test for Equality of Means95% Confidence Interval of the DifferenceLowerUpperEqual variances assumed -2.73484 2.33484Equal variances not assumed -2.73670 2.33670According to the Table 6, which summarizes the t-test statistics on pre-test, the significance is .22 and it is more thanthe .05 (p>. 05), therefore the two variances are equal. Also based on the amount of Sig.In t-test Table (Table 6) whichis .87 and it is more than .05 (p>. 05), the assumed hypothesis, which states that the language proficiency level of thecontrol and experimental groups in pre-test scores seem to be different, is rejected. The results of Levine‟s test showthat there are no meaningful differences between the pre-test scores of both control and experimental groups and thetwo groups are nearly equal regarding their language proficiency level in pre-test scores. The rate of significantdifference in control and experimental groups is only .20 which is regarded as a trivial difference and has no meaningfuldifference.Post-test scoresT-TEST TABLE 7THE GROUP STATISTICS FOR THE POST-TEST GROUP STATISTICSGroups N Mean Std. Deviation Std. Error MeanControl Group 30 18.2333 4.20741 .76816Experimental Group 30 20.8333 4.02649 .73513In Table 7, the control and experimental groups are compared in terms of the mean, which in control group is 18.23while in the experimental group is 20.83; their standard deviation, which is 4.20 in the control group and 4.02 for theexperimental group, and the standard error mean of .76 for the control group and .73 for the other. Based on the t-testfor the independent samples test hypothesized that regarding the treatment or the two various teaching methods, theobtained scores of the post-test from the control and experimental groups seem to be different.Post-test scoresTABLE 8INDEPENDENT SAMPLES TEST FOR THE POST-TEST INDEPENDENT SAMPLES TESTLevine's Test for Equality of Variances T-test for Equality of MeansF Sig. t dfEqual variances assumed .174 .678 -2.445 58Equal variances not assumed -2.445 57.888INDEPENDENT SAMPLES TESTT-test for Equality of MeansSig. (2-tailed) Mean Difference Std. Error DifferencePost-test scoresPost-test scoresEqual variances assumed .018 -2.60000 1.06325Equal variances not assumed .018 -2.60000 1.06325INDEPENDENT SAMPLES TESTT-test for Equality of Means95% Confidence Interval of the DifferenceLowerUpperEqual variances assumed -4.72832 -.47168Equal variances not assumed -4.72841 -.47159According to the Table 8 which summarizes the t-test statistics in post-test the significance in Levine‟s Table is .67and it is more than .05 (p>. 05), so the variances are equal. Based on the amount of significance in the t-test table which© 2013 ACADEMY PUBLISHER
THEORY AND PRACTICE IN LANGUAGE STUDIES 1015is .01 and it is less than the meaningful level of .05 (p
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Call for Papers and Special Issue P
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(Contents Continued from Back Cover
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