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MICS 3 DATA ANALYSIS AND REPORT WRITING. MICS 3 DATA ANALYSIS AND REPORT WRITING. Purpose Provide an overview of the MICS3 process in analyzing data Provide an overview of the preparation of Preliminary and Final Reports Discuss dissemination of MICS3 results.
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MICS 3DATA ANALYSIS AND REPORT WRITING Purpose • Provide an overview of the MICS3 process in analyzing data • Provide an overview of the preparation of Preliminary and Final Reports • Discuss dissemination of MICS3 results
MICS 3DATA ANALYSIS AND REPORT WRITING Process for report preparation • Standard set of MICS3 tabulations provided • Data processing programs covered in second workshop • Data analysis and report writing in third workshop • Standard guidelines for Preliminary and Final reports provided
MICS 3DATA ANALYSIS AND REPORT WRITING • Before producing tabulations and writing reports, the following tasks should be completed: • Carry out basic checks of data quality (non-sampling errors) • Calculate response rates Response rates lower than 90% suggests results may be biased; include response rates in the reports • Check for variables with large numbers of missing values Make sure not a problem with data entry or editing; any variable with 10% or more missing values use with caution; if very high do not use at all • Check for variables with large numbers of “don’t know” or “other” answers Large numbers of DKs can indicate difficulty understanding the questions; High proportions of “other” indicates questionnaire did not account for most common responses
MICS 3DATA ANALYSIS AND REPORT WRITING • (continued) • Check for expected patterns in the data Unexpected patterns may result from faulty sample design, improper implementation of the sample, interviewer errors, or respondents’ inaccurate answers. • Decide on basic background variables and their groupings Often include geographic areas, level of education, urban/rural residence, male/female, wealth quintiles, etc. • Decide on minimum sample sizes for displaying results Cells based on very small numbers of cases are not reliable and should not be shown; results based on fewer than 25 unweighted cases should not be shown.
MICS 3DATA ANALYSIS AND REPORT WRITING Producing a Preliminary Report • Objective: To convey the main results of the survey quickly and to stimulate interest in the current situation among government agencies, NGOs, other multilateral donors, the press and the public • Length: 15-20 pages • When: Within one month to six weeks following the end of fieldwork
MICS 3DATA ANALYSIS AND REPORT WRITING Outline of Preliminary Report • Background and objectives of the survey • Results • Sample and fieldwork methodology • Sample design • Response rates • Questionnaires • Fieldwork and field staff • Processing of data
MICS 3DATA ANALYSIS AND REPORT WRITING Circulation of Preliminary Report and Dissemination of Findings • Circulation - Distribute to relevant government institutions, NGOs, donors, and the press • Meeting - Present results at a meeting with representatives of key agencies and the press • Press release - Prepare a press release summarizing main results
MICS 3DATA ANALYSIS AND REPORT WRITING Outline of Final Report • Executive summary • Introduction and background • Data quality and sample characteristics • Results (with sections by topic) • Sample design • Survey instruments
MICS 3DATA ANALYSIS AND REPORT WRITING Circulation of Final Report and Dissemination of Findings • Distribution - to key government agencies, NGOs, donors, researchers and the press • Regional and international circulation - by UNICEF, and at meetings and conferences • Meeting on main findings - All major participants in the survey should be invited to a meeting to present main findings • Specific topics - Meetings and presentations that focus on specific topics can also be arranged and may lead to additional analysis of the data
MICS 3DATA ANALYSIS AND REPORT WRITING Further Analysis of the Data • MICS data can be used for statistical analysis beyond that contained in the survey report • The data collected should be exploited as fully as possible • Potential topics for further analysis: • Analysis of data quality • Analysis of trends • Identification of “most vulnerable” groups • Examination of health outcomes for orphans versus other children • Multivariate analyses of determinants of child health or schooling outcomes