1. MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Data Quality Tables

2. Appendix of the MICS Final Report Before producing tabulations and writing the report narrative Carry out basic checks of data quality using the Data Quality Table Syntaxes Make sure that data quality is taken into account during report writing Data Quality Tables

3. All surveys are subject to errors Two types of errors in surveys –Sampling errors can be predicted before data collection and measured after data collection –Non-sampling errors All other types of errors, due to any stage of the survey process other than the sample design More difficult to control and/or identify

4. Data Quality Tables Looking at –Deviations from recommended procedures/protocols –Internal consistency –Completeness 28 Tables Customization is usually required!

5. Data Quality Tables Age distribution Birth date and age reporting Completeness of reporting –Dates, Age, Durations, Interview Durations –Anthropometry Observations Respondent to Under-5 Questionnaire Selection of random child and more…