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Multiple Indicator Cluster Surveys Survey Design Workshop. Data Analysis and Reporting. Purpose. Provide an overview of the MICS4 process in analyzing data Provide an overview of the preparation of the Preliminary Findings and the Final Report. Process for report preparation.

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multiple indicator cluster surveys survey design workshop

Multiple Indicator Cluster SurveysSurvey Design Workshop

Data Analysis and Reporting

MICS4 Survey Design Workshop

slide2

Purpose

  • Provide an overview of the MICS4 process in analyzing data
  • Provide an overview of the preparation of the Preliminary Findings and the Final Report

MICS4 Survey Design Workshop

slide3

Process for report preparation

  • Data entry and processing programs will be covered in second workshop
  • Standard set of MICS4 tabulations and guidelines will be provided
  • Standard guidelines and templates for preliminary findings and final report provided

MICS4 Survey Design Workshop

process for report preparation
Process for report preparation
  • If needed, technical support for data analysis and report writing will be through UNICEF regional consultants
  • Once a draft final report is produced, arrangements will be made to review reports among different experts with the MICS4 Country teams

MICS4 Survey Design Workshop

slide5

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% suggest results may be biased; include response rates in the reports
  • Check for variables with large numbers of missing values Make sure it is 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

MICS4 Survey Design Workshop

slide6

(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.
  • Calculate the wealth index
  • Decide on basic background variables and their groupings
  • Geographic areas, urban/rural residence, level of education, male/female, wealth quintiles, religion of household head, etc.

MICS4 Survey Design Workshop

slide7

(continued)

  • Check unweighted number of observations 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, 25-49 cases should be shown within parentheses (caution).

MICS4 Survey Design Workshop

slide8

Outline of Final Report

  • Executive summary
  • Introduction and background
  • Data quality and sample characteristics
  • Results (with sections by topic)
  • Sample design (does not have to wait to the end)
  • Survey instruments

MICS4 Survey Design Workshop

dissemination of findings
Dissemination of Findings
  • Separate session
  • Third regional workshop:
    • Dissemination and Archiving
  • National seminar, distribution of findings, other dissemination activities

MICS4 Survey Design Workshop

slide10

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
    • Multivariate analyses of determinants of child health or schooling outcomes

MICS4 Survey Design Workshop