Consultant to Support Statistical Analysis Tender - 27908895

Procurement Summary

Country: Myanmar

Summary: Consultant to Support Statistical Analysis for Yangon Urban Survey -“Status and Determinants of Food Insecurity and under Nutrition in Yangon Urban Areas"

Deadline: 06 Nov 2018

Posting Date: 25 Oct 2018

Other Information

Notice Type: Tender

TOT Ref.No.: 27908895

Document Ref. No.:

Competition: ICB

Financier: United Nations Secretariat

Purchaser Ownership: -

Tender Value: Refer Document

CPV Classification

79600000 - Recruitment services

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Tender Details

Tenders are invited for consultant_ to Support Statistical Analysis for Yangon Urban Survey -“Status and Determinants of Food Insecurity and under Nutrition in Yangon Urban Areas".
International consultant to support statistical analysis for Yangon urban survey -“Status and determinants of food insecurity and under nutrition in Yangon urban areas”
UNICEF works in some of the world-s toughest places, to reach the world-s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.
Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.
And we never give up.
Background
Since the end of 2016, WFP, UNICEF and the MOHS, National Nutrition Centre, have been collaborating together to conduct an urban research study in Yangon, entitled, “Status and determinants of food insecurity and under nutrition in Yangon urban areas, Myanmar” (SDFU). UNICEF has provided both technical and financial contribution to this survey along with WFP and MOHS, which covers 11 peri-urban townships in Yangon city involving 2, 000 households with children under 5. The survey uses qualitative and quantitative methods to examine key indicators in health, nutrition, food security, WASH that affect families, women and children. Socioeconomic and demographic data is also collected.
As of end of July 2018, data collection in Yangon has been completed, which produced four data sets: 1) Household, 2) Food Security, 3) Mother and Child health and nutrition, 4) WASH. Data sets are currently being constituted and checked for accuracy and will be available for the survey analysis stage starting end of October. UNICEF focal points have been designated to lead on the statistical analysis of the Mother and Child health and nutrition and WASH data sets, while WFP focal points will lead on the Household and Food Security data sets. Analysis will also be done in collaboration with relevant Government authorities and departments from MOHS, MOALI and MOPF/CSO.
Given the large sample size and number of indicators and data sets to be analyzed, and the need for cross-sectoral/cross-data set analysis, survey partners identified the need for an international consultant to provide statistics expertise and support to the survey analysis team. The international consultant would be someone who has experience in supporting and managing large surveys with multiple data sets and sectoral indicators, and support the survey analysis focal points from WFP, UNICEF and Government, to carry out statistical analyses in a harmonized and coordinated way.
Objectives of the Consultancy
General Objectives:
The overall purpose of this consultancy is to support urban survey partner focal points (UNICEF, WFP, MOHS) on data analysis coordination and harmonization, and provide data quality assurance and statistics analysis support on the Mother and Child and WASH data sets which UNICEF will oversee.
Specific objectives and tasks:
· Support survey data harmonization and coordination, including developing list of standardized tables and figures, list of core indicators, quality assurance plans
· Support appropriate coding and labeling, reviewing all cleaned data sets and importation of agreed core indicators across data sets.
· Coordinate and support focal points in bi variate analysis to produce standardized tables for the survey report, coordinating also with survey report writer
· Support UNICEF focal points on carrying out data analysis on Mother and Child and WASH data sets, as per data analysis plan and provide quality assurance
· Support to cross-sectoral analysis such as Nutrition-WASH, Food Security and Nutrition, etc.
Assignment Tasks and Expected Deliverables
Task 1:
Review and finalize overall survey analysis and presentation plans
End Product/Deliverable 1:
· Agreed list of final tables and figures with main indicators and bi-variate indicators for presentation of data in the survey report (for all datasets)
· Note which indicators are for importation for bi-variate analysis e.g. wealth index quintile imported from household dataset into the WASH, Maternal and Child and Food Security dataset.
· Format of data dictionary with full calculated indicator list and coding
· Agreed list of indicator standardized definition and syntax with quality assurance
· Check proper method used for calculation of weighting variable for analysis
· Establish timeline for data quality assurance and analysis and development of agreed tables and figures
· Agreed report structure
Task 2:
Obtain and review quality assurance and analysis plans from each of the four focal points to ensure they meet the following agreed components
End product/Deliverable 2:
· Data analysis plan including the data dictionary for each indicator with coding and attached syntax completed
· System for recording notes of analysis methodology including missing responses and flagged responses is agreed
· Set of tables and figures to generate for the survey report, including bivariate analysis plan to generate standardized tables for reporting is agreed
Task 3:
Coordinate and support with each of the 4 focal points to implement the analysis plan for development of key indicators and troubleshoot concerns.
End product/Deliverable 3:
· Implementation of data analysis plan completed and development of key indicators completed.
Task 4:
Supporting appropriate coding and labeling, reviewing all cleaned data sets and importation of agreed core indicators across data sets.
End Product/Deliverable 4:
· Appropriate coding and labeling in all 4 data sets completed.
· Successful importation of agreed core indicators across data sets.
Task 5:
Coordinate and support focal points in bi variate analysis to develop standardized tables for the survey report.
End Product/Deliverable 5:
· Tables coming out of bi variate analysis are correctly standardized for the survey report.
· The bi variate analysis includes key indicators in WASH and Food Security as well as standard socio and economic indicators.
Task 6:
Coordinate with the survey report writer to support final tables and figures for Nutrition.
End Product/Deliverable 6:
· Final tables and figures correctly inserted in survey report.
Task 7:
Coordinate with the survey report writer to support final tables and figures for WASH.
End Product/Deliverable 7:
· Final tables and figures correctly inserted in survey report (8 days)
· GIS-based/mapping/spatial graphs/visualizations (5 days)
Task 8:
Support data set focal points in development of the data analysis and quality assurance plans
End Product/Deliverable 8:
· Development of the indicators for anthropometry for children, anthropometry for mothers, IYCF, health, maternal using MICS 6 syntax and/or written syntax for standardized definitions
· Survey data quality reports for anthropometry data for children (using ENA SMART), anthropometry data for mothers (descriptive analysis), IYCF indicators (descriptive analysis), health indicators (descriptive analysis), maternal indicators (ANC/breastfeeding) (descriptive analysis), child low birth weight (descriptive and comparative analysis), and logistic regression for analysis of stunting and wasting drivers.
· The bivariate analysis includes key indicators in WASH and Food Security as well as standard socio and economic indicators.
Task 9:
Support dataset focal points to conduct bivariate analysis and develop standardized tables for reporting, including data quality and sampling error tables for Nutrition
End Product/Deliverable 9:
· Bivariate analysis and descriptive analysis are completed and final tables for the survey report generated. The bivariate analysis includes key indicators in WASH and Food Security as well as standard socio and economic indicators.
· Agreed charts and figures are produced and formatted for inclusion in survey report.
· Data quality tables and sampling error tables as per MICS 6 are completed and finalised for inclusion in the report.
Task 10:
Support dataset focal points to conduct bivariate analysis and develop standardized tables for reporting, including data quality and sampling error tables for WASH
End Product/Deliverable 10:
· Bivariate analysis and descriptive analysis are completed and final tables for the survey report generated. The bivariate analysis includes key indicators in WASH and Food Security as well as standard socio and economic indicators.
· Agreed charts and figures are produced and formatted for inclusion in survey report.
· Data quality tables and sampling error tables as per MICS 6 are completed and finalised for inclusion in the report.
Qualification and specialized knowledge/experience required for the assignment:
· BA/BS Degree in economics, statistics, computer information systems or a related field combined with over 12 years of relevant experience in international development, or Advanced/Master-s degree with at least 10 years of relevant experience in international development;
· At least 4 years of specific survey and statistical analysis experience
· At least 1 year of experience using QGIS version 3.0 or later, to compose and export graphical maps, and analyse/edit geospatial data.
· Familiarity with large scale datasets and big data, including MICS, DHS, and National Nutrition Surveys required
· Proficiency in STATA/SPSS/R a must
· Past experience working on UNICEF or UN related surveys in relevant field, including in a similar geographic region is an asset and advantage
· Knowledge/experience in datasets related to sectors of nutrition, health, WASH and/or Food Security an asset
· Demonstrated ability to work effectively and sensitively

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