Describe data file preparation (descriptive statistics used to check completeness and accuracy.

The study employs 100 participants, use G. Power analysis to calculate the sample size and add 15% for attrition and unusable or incomplete responses. You will conduct a post hoc G*Power analysis Quantitative Studies: (1) describe data file preparation (descriptive statistics used to check completeness and accuracy; for files from different sources, possibly aggregating data to obtain a common unit of analysis in all files, necessarily merging files (using the key variable defining the unit of analysis); (2) computation of statistics for the sample profile; (3) computation of (sub-scales and) scales; (4) reliability analysis for all scales and sub-scales; (5) computation of descriptive statistics for all variables of interest in the study (except those already presented in the sample profile); (6) state and justify all statistical procedures (“tests”) needed to generate the information to answer all research questions; and (7) state assumptions checks for all those statistical procedures (including the tests and / or charts to be computed). Key variables are Diabetic literacy, psychosocial self-efficacy, diabetic Control/outcome, and control variables which that establish the timing of diagnosis, and the duration individual has had the condition.