Given Hapunda

152 SPSS output produces. There are several ways of calculating the effect size and this is provided in good statistics books. Performing Paired t – test Table 3a: Paired Sample Statistics Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 malaria cases at baseline 1.9000 140 1.22504 .10353 malaria cases at endline .5500 140 .59161 .05000 Table 3b: Paired Samples Correlations Paired Samples Correlations N Correlation Sig. Pair 1 malaria cases at baseline & malaria cases at endline 140 .424 .000 Table 3c: Paired Samples Test Results Paired Samples Test Paired Differences t df Sig. (2-tailed) Mean Std. Deviation Std. Error Mean 95% Confidence Interval of the Difference Lower Upper Pair 1 malaria cases at baseline - malaria cases at end line 1.35000 1.11190 .09397 1.16420 1.53580 14.366 139 .000 The output above shows that the interventions to reduce malaria cases were effective because the mean cases of malaria cases reduced from 1.9 at base-line to .55 at end-line (mean difference 1.35) and this difference was statistically significant ( p = <.05).