All data collected in the survey were analyzed using SAS 9.3 (SAS Institute Inc).
To validate the technique, data from the survey were analyzed using logistic regression methods and then compared with results obtained from the two-factor model.
The survey was analyzed using STATA 11.
Responses to the two surveys were analyzed using descriptive statistics.
Available data from all surveys were analyzed using a thematic content analysis approach; graphs were used to provide visual representations of the information.
Data drawn from the endline survey were analyzed using logistic regression and calculated the odds of correct preparation of ORS (i.e. concentration) in Kit users vs. non-users.
Debriefing data from the student feedback surveys was analyzed using a post-test survey design with a single experimental cohort.
The responses in the first-round survey were analyzed, using descriptive statistics, and the results were sent back to the experts for review and ratification.
In this study, data from the Nigeria Blindness Survey were analyzed using ISGEO criteria to determine the prevalence and types of glaucoma, to provide data for advocacy, policy and to plan services for glaucoma.
Sixteen line items from the 1999-2000 National Health and Nutrition Examination surveys (NHANES) survey were analyzed using factor analysis, internal analyses of consistency, and G-IRT.
