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IPDET
Handbook
Module 8
Data Collection Methods
Introduction
You have now learned about evaluation questions and
evaluation designs to match these questions. In this module,
you will be looking at how you will collect the data to answer
your evaluation questions. The module begins with information
you need to know about data collection and ends with a
“Toolkit” of ways to collect data.
This module has five topics. They are:
• Data Collection Strategies
• Data Collection General Rules
• Key Issues about Measures
• Quantitative and Qualitative Data
• Common Data Collection Approaches: The Toolkit.
Participatory Data
Intervention Collect Available Data
Evaluation Observation
or Design Approaches Surveys
Questions Questionnaires
Policy Focus Groups
Diaries, Journals, Self-
reported Checklists
Expert Judgement
Delphi Technique
Citizen Report Cards
Module 8
Learning Objectives
 By the end of the module, you should be able to:
• describe data collection strategies
• list the general rules for data collection
• describe key issues about measures, including:
credibility, reliability, validity, and precision
• describe common approaches to data collection and
when to use these approaches, including: participatory
data, available data, observation, surveys, interviews,
questionnaires, focus groups, diaries, journals, and self-
reported checklists, expert judgment, and citizen report
cards.
Page 346 International Program for Development Evaluation Training − 2007
Data Collection Methods
Key Words
You will find the following key words or phrases in this module.
³ Watch for these and make sure that you understand what they
mean and how they are used in the course.
participatory data collection
structured data collection
unstructured data collection
validity
reliability
precision
quantitative approach
qualitative approach
bias
triangulation
global positioning system (GPS)
available data
unobtrusive observer
participant observer
obtrusive observer
in-person interview
self-administered questionnaire
pilot or pilot test
structured survey
semi-structured survey
response rate
cover letter
volunteer sample or self-selected sample
focus group
diary
self-reported checklist
rich data
Delphi technique
nominal group technique
citizen report cards
International Program for Development Evaluation Training − 2007 Page 347
Module 8
Data Collection Strategies
You have a number of ways to collect data but there is no one
single best way. The decision about which approaches to use
depends upon:
• what you need to know
• where the data reside
• resources and time available
• complexity of the data to be collected
• frequency of data collection.
If you need to know whether villagers who participated in an
adult literacy intervention can read and write better than those
who did not participate, you will need to find a way to collect
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data about their reading and writing skills. Maybe you can get
access to some samples of their writing before and after the
intervention, or perhaps you can give them a reading and
writing test and compare scores before and after the program.
If you need to know if literacy intervention participants are
more actively engaged in their children’s education, you might
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try observing parent-child interactions, or you might ask
children, parents, and teachers whether this is the case, before
and after the program.
If you need to know if the literacy program participants were
satisfied with the quality of the literacy workshops and follow-
up, then you will need to gather the opinions of the
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participants. A structured interview of participants is one
option (or a survey, if literacy levels are high enough).
As mentioned briefly in and earlier module, the choice of
methods hinges partly on the evaluation question to be
answered, partly on how well the intervention is understood,
and partly on the time and resources available. There is a
trade-off here between in-depth understanding that comes
from a case study, for example, and having data collected in a
systematic and precise way through a survey that allows valid
comparisons to be made.
As each evaluation question has its own mini-design, different
data collection methods may be used to answer different
questions within the over-all evaluation framework.
Page 348 International Program for Development Evaluation Training − 2007
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