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Demographic and Health Surveys Methodology - Measure DHS

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<strong>DHS</strong> uses century month codes extensively during the process of editing <strong>and</strong> imputing data. Theadvantages of the approach include the following:• When checking for consistency, use of the century month codes makes it easy to check not only thatthe events occurred in chronological order, but also that there should be a minimum interval betweenthem. For example B3(2)—B3(1) should be greater or equal to 9 months (the duration of apregnancy).• For imputation 4 purposes, if information were missing between two events, the r<strong>and</strong>om imputationwould be quite reasonable. For example, if date of birth for the second child is unknown, that birthshould have occurred between the first birth plus nine months, <strong>and</strong> nine months before the third birth.The lower <strong>and</strong> upper limits for a r<strong>and</strong>om number generator are plausible.R<strong>and</strong>om (B3(1) + 9, B3(3) – 9) , R<strong>and</strong>om (1192, 1202)The use of CMC at the analysis phase facilitates the calculation of intervals or ages at different events.Throughout all <strong>DHS</strong> analysis computer programs, instructions like the ones shown below are verycommon.Respondent’s age = int( (DOI – DOB)/12 )(1220 – 952)/12 = 22 years oldAge at first birth = int( (DBC1 – DOB)/12 )(1183 – 952)/12 = 19 years oldAge at sterilization = int( (DOS – DOB)/12 )(1216 – 952)/12 = 22 years oldAge of last child in months = DOI – DBC31220 – 1211 = 9 monthsInterval between birth 1 <strong>and</strong> 2 = DBC2 – DBC11198 – 1183 = 15 monthsMonths since sterilization = DOI – DOS1220 – 1216 = 4 months<strong>DHS</strong> recommends that analysts use the century month code variables when dealing with intervals or agesat different events.Median CalculationsThere are four different types of median calculations in <strong>DHS</strong> statistics, <strong>and</strong> results vary according to thetype of variable being analyzed.Medians for completed time periods. These are medians for variables such as intervals between eventsor ages calculated at different events; for example, current age, age at first union, <strong>and</strong> age at sterilization.Medians for this type of variables take into consideration that ages are given in completed years. Arespondent who is currently 20 years old could be somewhere between 20 years <strong>and</strong> 1 day old or 20 years<strong>and</strong> 364 days old.Medians for continuous variables. These are medians for variables such as children’s weight at birth orany other type of measurement in the continuous scale.4 Croft, T. 1991. Date Editing <strong>and</strong> Imputation. <strong>Demographic</strong> <strong>and</strong> <strong>Health</strong> <strong>Surveys</strong> World Conference Proceedings, II: 1337–1356, Columbia,Maryl<strong>and</strong>: IRD/ORC Macro.Guide to <strong>DHS</strong> Statistics 16 September 2003

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