Multiple Indicator Cluster Surveys Data Entry and Processing.

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Multiple Indicator Cluster Surveys

Data Entry and Processing

Data processing steps

• Reception of questionnaires

• Manual office editing

• Data Entry with CSPro

• Structural and completeness checks

• Verification

• Secondary editing

Data processing steps

• Export to SPSS• Creation of Analysis Files• Recoding of variables• Addition of sample weights• Tabulation• Data Archiving• Dissemination of Results

Data processing requirements

• Data processing supervisor• Data entry operators

– Can enter about 1 cluster per day– Double entry

• Data editors– 1 or 2

• Computers– 1 per data entry operator– Plus 1 for supervisor

Computers

• Windows 98 or later• Computer adequate to run Windows 98 or

better• Adequate hard disk space• Network – optional (otherwise use diskettes to

transfer data)

Software

• CSPro– Data Entry

• Interactive• Range, skip, consistency checks

– Structure check• Ensures completeness of data

– Verification• 100% double entry

– Secondary editing• Complex consistency checks

– Export to SPSS

Software

• SPSS– Construction of analysis files

• HH: Household• HL: Household Listing• WM: Women• CH: Children

– Weighting of data– Selection of units of analysis– Production of tabulations– Analysis of sampling errors/confidence intervals

Software

• DevInfo– Collects aggregated data for each indicator (by

background variables)– Presents surveys results in form of:

• Tables• Graphs• Maps

– Distribution of database of indicators

Data archiving and dissemination

• Archiving– Micro Datasets (SPSS)– Aggregate Databases (DevInfo)– Tabulations– Survey reports– Survey description documents (.e.g. survey plans,

sampling, interviewer instructions, etc.)

• Create CD of all survey related documents

Data archiving and dissemination

• Dissemination– Survey reports– DevInfo databases (DevInfo)– Micro datasets (SPSS)– Other survey materials

• Posters• Factsheets• Survey documents• Etc.

– Survey CD

Data sharing and ownership of data

• Data are the property of the country• UNICEF agreements with countries should

permit– UNICEF (CO, RO and HQ) and country partners to:

• Receive datasets and tabulations as soon as data processing is complete

• Receive reports, including drafts, as soon as available and prior to publication

• Distribute datasets, tabulations and reports to other users and researchers after publication of report

Why share data?

• Permits further analysis of data by researchers• Leads to greater benefit in terms of maximizing

the results of the survey by– Providing more insights into situation of children and

women in each country– Providing more valuable information for planning of

programmes

• Leads to greater confidence in survey results