OscarDaGrouch

I need help with statistics and interpreting two studies. I have no idea what to write. If anyone could help and explain in simple terms I would be more than grateful! I have two studies which I need to discuss and make sense of. Study 1 has pre-test mean then following the intervention a post-test mean. In this study there was a control group, also with a pre-test mean and a post-test mean. The second study tested the same group before and after the intervention. I need to find the confidence interval of each study. This is where I am stuck. I understand what the CI means. But I need to calculate it. I do not need to know how the actual calculation is done as I am allowed to use a calculator and this is not what is being assessed. I am looking at the overall success of the intervention and have to use just these two papers to discuss the intervention itself. I need to discuss the p values which I understand, but also the CIs! I need to make sense of both CIs and what this means to the actual intervention... Hope this makes sense! Study 1. Pre- and post-intervention values (standard error). Intervention_________________ Mean (SD) Mean (SD) Pre-test Post-test __ 6.66 (0.15) 5.74 (0.17) P value* Waiting room control_________ Mean (SD) Mean (SD) Pre Post_____ 6.31 (0.26) 6.39 (0.27) P value* *Significance of pre- to post-intervention change. Changes in mean pre- and post-intervention symptom scores were calculated and differences were evaluated with paired t-tests, with significance set at None of the changes was significant for the waiting room controls Study 2 Pre- and post-intervention values (standard error). Intervention__________________ Difference t p__ Pre-test Post-test __ Mean (SD) Mean (SD)____________________________ 3.15 (2.8) 2.47 (2.6) -0.69 -3.30 0.001 Significance set at Criterion for significance p

I need help with statistics and interpreting two studies. I have no idea what to write. If anyone could help and explain in simple terms I would be more than grateful! I have two studies which I need to discuss and make sense of. Study 1 has pre-test mean then following the intervention a post-test mean. In this study there was a control group, also with a pre-test mean and a post-test mean. The second study tested the same group before and after the intervention. I need to find the confidence interval of each study. This is where I am stuck. I understand what the CI means. But I need to calculate it. I do not need to know how the actual calculation is done as I am allowed to use a calculator and this is not what is being assessed. I am looking at the overall success of the intervention and have to use just these two papers to discuss the intervention itself. I need to discuss the p values which I understand, but also the CIs! I need to make sense of both CIs and what this means to the actual intervention... Hope this makes sense! Study 1. Pre- and post-intervention values (standard error). Intervention_________________ Mean (SD) Mean (SD) Pre-test Post-test __ 6.66 (0.15) 5.74 (0.17) P value* Waiting room control_________ Mean (SD) Mean (SD) Pre Post_____ 6.31 (0.26) 6.39 (0.27) P value* *Significance of pre- to post-intervention change. Changes in mean pre- and post-intervention symptom scores were calculated and differences were evaluated with paired t-tests, with significance set at None of the changes was significant for the waiting room controls Study 2 Pre- and post-intervention values (standard error). Intervention__________________ Difference t p__ Pre-test Post-test __ Mean (SD) Mean (SD)____________________________ 3.15 (2.8) 2.47 (2.6) -0.69 -3.30 0.001 Significance set at Criterion for significance p