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