1 from the data to the report module 2. 2 introduction welcome housekeeping introductions name, job,...
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From the data to the report
Module 2
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Introduction
WelcomeHousekeeping Introductions
Name, job, district, team
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Overview
The data management cycle has many different stages where data quality can fall down. This module addresses good practice at a range of levels from data entry through to reporting.
New software (compared to Module 1) in the form of a data entry package, Epi Info, and a statistics package, Instat, are added
to the toolkit.
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Module content
Data management Data entry principles and practices
using Epi Info designing data capture screens, labelling and entering data, etc.
Simple statistical analysis in Epi Info and using the statistics package, Instat.
Report writing.
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Duration and timetable
Morning Afternoon
Day 1Data collection and the research process
Data entry principles and practices
Day 2Designing the data entry system
Designing the data entry system
Day 3Data Management – aspects, levels & stages
Processing and exporting data
Day 4Introducing a statistics package
Using a statistics package
Day 5Different software for different tasks
Report writing
Day 6 Report writing Wrap-up
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Module Learning Objectives
At the end of the module, participants will be able to:
Undertake a range of data management tasks, from data entry through to reporting, for simple surveys.
Train or advise others on how to undertake the same tasks.
Discuss the relative merits of Excel, Epi Info and Instat.
Use Excel, Epi Info and Instat as appropriate for data management work on different projects.
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Prerequisites
Completion of Module 1 of this course.
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Resources
A small set of questionnaires provided by UBOS.
Epi-info. Instat
Concepts more than software
The emphasis is on the concepts of data management For data entry, analysis and reporting And developing your skills to plan your strategy
We introduce new software E.g. Epi Info for data entry and checking But could equally have used CSPRO
You could change later; the same concepts would apply
Software is now easy to master It is the statistical concepts that benefit from a course
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Module 1: A one-slide review
Statistical Concepts
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Review of Module 1
At the end of Module 1 participants were able to: Define statistics Interpret different measures of variation Organise data in Excel Summarise data using appropriate tables and
graphs Have confidence that statistics is a
manageable subject
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Data Collection and the Research Process
Module 2 Session 1
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Overview (of Session)
This session sets the scene for the rest of the module.
The data collection process is reviewed; and participants share their experiences.
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Session Learning Objectives
At the end of the session participants will be able to:describe the data collection processhighlight a range of different problems that arise in the data collection processoutline other roles or types of support he/she could undertake in their own officeinstall Epi Info.
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Design survey
Design questionnaire
Enumerators collect data in the field
Data entered onto computer
Manual checking, editing etc.
Data analysis
Reporting of results
Computer data management
Data management cycle
Conception
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Design survey
Design questionnaire
Enumerators collect data in the field
Data entered onto computer
Manual checking, editing etc.
Data analysis
Reporting of results
Computer data management
Data management cycle
Conception
Module 2
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Design survey
Design questionnaire
Enumerators collect data in the field
Data entered onto computer
Manual checking, editing etc.
Data analysis
Reporting of results
Computer data management
Data management cycle
Conception
Module 3
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Uganda Context
Now let’s look at examples of data collection activities and their data handling in the Uganda context
at both the national level and at the Districts’ level.
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Ugandan National Household Survey (e.g. UNHS2)
The 2002/2003 UNHS survey collected data on: approx.50,000 individuals 9700 households 970 communities
The whole of this was undertaken entirely by UBOS – questionnaire, enumerators, data entry, management, analysis and reporting.
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UNHS2 – “All the data”
HouseholdsHouseholds
Info. collected about Info. collected about household membershousehold members
• Age• Sex
• Schooling statusetc.
Info. collected about householdsInfo. collected about households
• Housing conditions – type of roof, etc. • Household condition - what fuel used for lighting etc.
•Household consumption expenditure
Info. collected Info. collected about communityabout community
• Health facility within 3 km•Bank within
10km
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Part of UNHS2 questionnaire
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Districts’ Examples
At the District level, there are different studies and involvement in the data management cycle can be different
Externally funded, e.g. Baseline survey at Bundibuyo (BTC)
Here the whole survey under the control of the district
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Districts’ Examples
Ministry driven (for planning purposes) HMIS questionnaires at health units Education – annual census Local government mandatory assessments
- largely only enumerators, checking, data entry.
District driven e.g. human resources – assessing capacity. Revenue enhancement
- involvement in whole process.
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Activity 3: Discussion – who does what? (30 mins)
Working in pairs. Find out what the other does, in terms
of dealing with data - and what the problems are (if any).
- with examples. Who else in the District deals with
data, and what do they do?
Installing Epi-Info
http://www.cdc.gov/epiinfo/ Latest version: 3.4.3 Release Date: November 26, 2007 Download
Install from Web, or Download setup.exe file
Run setup.exe and follow instructions The setup.exe file is also available on the
DVD under the Resources folder25
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