2 Introduction Welcome Housekeeping Introductions Name, job, district, team
3 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.
4 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.
5 Duration and timetable MorningAfternoon Day 1 Data collection and the research process Data entry principles and practices Day 2 Designing the data entry system Day 3 Data Management – aspects, levels & stages Processing and exporting data Day 4 Introducing a statistics package Using a statistics package Day 5 Different software for different tasks Report writing Day 6 Report writingWrap-up
6 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.
7 Prerequisites Completion of Module 1 of this course.
8 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
10 Module 1: A one-slide review Statistical Concepts
11 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
12 Data Collection and the Research Process Module 2 Session 1
13 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.
14 Session Learning Objectives At the end of the session participants will be able to: describe the data collection process highlight a range of different problems that arise in the data collection process outline other roles or types of support he/she could undertake in their own office install Epi Info.
15 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
16 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
17 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
18 Uganda Context Now lets 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.
19 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.
20 UNHS2 – All the data Households Info. collected about household members Age Sex Schooling status etc. Info. collected about households Housing conditions – type of roof, etc. Household condition - what fuel used for lighting etc. Household consumption expenditure Info. collected about community Health facility within 3 km Bank within 10km
22 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
23 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.
24 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 folder 25