Analysis

How to use this page:

The Survey Results section below provides the excel spreadsheet of data from the surveys, and it is automatically updated each time organizations input new survey data. The excel file is also available to you via email.
Using the excel file, you can perform most of the data analysis such as finding means, standard deviations, and creating charts. We provide a link to an excel help page.
Using the Correlation Coefficient Calculator, one can determine the p-value and correlation coefficient of data. For instance, we could assign 0 = female and 1 = male, and then compare the mean Likert Scale scores from the attitudes section to see if a particular gender correlates with higher acceptance of Misoprostol. One can use this for a variety of other analyses as well.
Finally, the 2 sample t-test is useful for determining whether there is a significant difference between the means of two different groups. For instance, one could compare the Knowledge/Practice scores (out of 10) between one group at pre-implementation versus that same group at 6-months to see if there is a significant difference in scores.

Survey Results (Community Members):

Survey Results (Health Workers- CHWs, TBAs, Pharmacists):

Creating charts on Excel

Excel Charts Help Page

Correlation Coefficient Calculator (finding the correlation on survey scores by various factors)

Sample correlation coefficient result.
2-sided p-value and correlation coefficient are highlighted

2-sample t-test (comparing two time points or two populations)

Example 2 sample t-test calculation
p-value and significance result are highlighted

Sources

GEM-beta