MICS4 Data Processing Workshop

Multiple Indicator Cluster SurveysData Processing Workshop

Creating Analysis Files:Description of Preparation Steps

Secondary Data Processing Flow

Export Data from CSPRO

Import Data into SPSS

Recode Variables

Add Sample Weights, Wealth Index and GPS Data

Run Tables

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Exporting ‘clean data’ from CSPRO to SPSS

– By using CSPRO dictionary and final data file, we create ASCII rectangular data files (*.dat) and corresponding syntax files (*.sps) to read the data into SPSS

– All located in ‘c:\mics4\spss’ directory• c:\mics4\spss\myhh.sps• c:\mics4\spss\myhh.dat• …

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Rectangular data files [*.dat]• myhh.dat - [Household]• myhl.dat – [Household members]• mywm.dat – [Women]• mych.dat – [Children]• mytn.dat – [Mosquito nets]

– Only if ‘ITN’ module’ is included• myfg.dat – [FGM]

– Only if ‘FGM’ module’ is included• mybh.dat – [Births to women 15-49]

– Only if ‘Birth History’ module is included• mymn.dat – [Men]

– Only if ‘Men’ questionnaire is included

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Rectangular data files [*.dat]– HOUSEHOLD QUESTIONNAIRE

• myhh.dat - [Household]• myhl.dat – [Household Members]• mytn.dat – [Mosquito nets]

– INDIVIDUAL WOMEN QUESTIONNAIRE• mywm.dat – [Women age 15-49]• myfg.dat – [Female genital cutting. women age 15-49]• mybh.dat – [Births to interview. women age 15-49]

– UNDER-5 QUESTIONNAIRE• mych.dat – [Children]

– INDIVIDUAL MEN QUESTIONNAIRE• mymn.dat – [Men age 15-59]

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Rectangular data files [*.dat]• Rows are ‘cases’

– Household – all (interviewed or not)– Members - living in interviewed households– Women – all (interviewed or not)– Children – all (interviewed or not)– Nets – mosquito nets in interviewed household

• Only if ‘ITN’ module’ is included– Daughters – daughters under 15 years of age of interviewed women age 15-49

• Only if ‘FGM’ module’ is included– Births – births to interviewed women age 15-49

• Only if ‘Birth History’ module is included– Men – all (interviewed or not)

• Only if ‘Men’ questionnaire is included

• Columns are ‘variables’– Cluster, Household number, Line number, Interviewer number, etc.

Screenshot

• Sample ASCII data file

Syntax files (to read rectangular data files)

• myhh.sps• myhl.sps• mywm.sps• mych.sps• mytn.sps

– Only if ‘ITN’ module is included• myfg.sps

– Only if ‘FGM’ module is included• mybh.sps

– Only if ‘Birth History’ module is included• mymn.sps

– Only if ‘Men’ questionnaire is included

• Includes the location information (columns) of variables in rectangular data file as well as variable labels and value labels

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Screenshot

• Sample Syntax file

Importing Data to SPSS

– Executing syntax files created by CSPRO– In SPSS, run all my*.sps files (one by one)

• The my*.sps files will import the data into SPSS and create SPSS-format data files (system files - *.sav), with variable labels, value labels etc.

– At the end of each run, save your work in data files as hh.sav, hl.sav, wm.sav, ch.sav [tn.sav, fg.sav, bh.sav, mn.sav]

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Saving the Data File

• It is helpful to have the syntax file automatically save the data file that it creates

• To do so, add the following line to the end of the syntax file:

save outfile = 'hh.sav'.

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Screenshot

• SPSS Data Editor – Data View– Household

Screenshot

• SPSS Data Editor – Variable View– Household

Run frequency distributions

• Open SPSS and run frequency distributions for all of the variables in all 7 files

• Detect any unexpected codes or inconsistencies, and if necessary, return to CSPro and make corrections.

Next Steps

• Recoding variables– Creating new variables by recoding existing

variables– Adding variables to different levels

• Mother’s education• Father’s education

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Customize make*.sps

• Customize the make*.sps syntax files, in accordance with the contents of your questionnaires

• Take out any variables and associated syntax which are not included in your questionnaire, or modify the variables according to your response categories

Run make.sps

• Run make.sps to recode all additional variables needed for the tabulations

• make.sps is provided as a batch file which calls and runs each of the make*.sps files in turn

• All *.sav variables will be replaced!

• Backup before you proceed to this stage

Next Steps

• Adding sample weights– Sample weights are added from weights

spreadsheet

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Calculate weights

• Obtain distribution of interview results by the unit based on which you intend to calculate unique sample weights:- using the weights_table.sps syntax file, if

calculation at cluster level

- using the weights_table_alt.sps syntax file, if calculation at stratum level, e.g. regions and area

Calculate weights cont.

• Calculate final sample weights

• using weights.xls, if calculations are carried out at the cluster level

• weights_alt.xls, if calculations are carried out at stratum level

Calculate weights cont.

• Once calculations in weights.xls or weights_alt.xls have been completed, save the “Output” workbook– c:\mics4\weights\weights.xls

Append sample weights

• Append sample weights to the exported SPSS files hh.sav, hl.sav, wm.sav, ch.sav (tn.sav, fg.sav, bh.sav and mm.sav if relevant modules included), by using the SPSS weights_merge.sps or weights_merge_alt.sps syntax file

– Need customization if ITN, Birth History modules or Men questionnaire included

Next Steps

• Adding wealth index– Wealth index calculated then added to files

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Customize wealth.sps

• Customize the wealth.sps syntax file that calculates wealth index values, together with the survey coordinator/technical manager, according to the items included in your questionnaire

Run and append wealth

• Run the customized SPSS syntax wealth.sps to calculate and append wealth index values to all of the exported data files

Next Steps

• Adding GPS data– Geographic location data added to files

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Next Steps

• Tabulation– Tables are generated from the *.sav files

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Customize each syntax

• Customize all tabulation syntax files in accordance with the contents of your survey

• Delete the syntax files which are used to obtain tables on topics which are not included in your survey

Run all_tables.sps• Once all tabulation syntax files are customized

and free of errors, customize all_tables.sps

• all_tables.sps calls and runs all tabulation syntax files, and produces an output which includes all tables

• If any of the tabulation syntax files have errors, the program will stop and you will have to correct the tabulation syntax file. Then re-run all_tables.sps