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Steps 4 & 5: Data Collection Tools and Methods and Collecting Data
Although deciding on data collection tools and methods and actually collecting
data are actually two different steps in the evaluation cycle, they are
inextricably linked and we thus combine them as part of the tutorial.
Data are a collection of information, evidence, or facts from which you can draw conclusions .
-
Data can be quantitative - numeric information - or it can be qualitative
- involving stories, observations, etc.
- Data are important because they offer evidence for the outcomes your
program is producing and allow you to confidently make the case for
your programs.
- The data that you want to collect will be driven from the questions
you want answered (see the Theory
of Change section for more information on developing evaluation
questions).
There are a variety of different types of data collection methods. Some
of the more common types are:
| Activity Logs/Skill Sheets |
Written documentation of participant's
attendance, achievement or acquisition of skills |
Good for what and how many questions |
| Document review |
Review of written documents such as
performance ratings, program logs, tally sheets, and other existing
indicators |
Good for what and how many questions |
| Focus groups |
Moderated discussions on a particular
topic or issue |
Good for what, how, and why questions |
| Interviews |
Data collection through oral conversations |
Good for what and why questions |
| Observation |
Watching people engaged in activities
and recording what occurs |
Good for how, what, and how many questions |
| Questionnaires |
Written responses to clearly defined
questions |
Good for what and how many questions. |
You can also use alternative documentation approaches including having
program participants keep written, audio, or video journals of both their
experiences and their thoughts, feelings, etc.
- Any of the above methods can also be implemented through pre/post
tests in which people are tested both before the program has been implemented
and after the program has been implemented, and changes in attitudes,
skills, behaviors, etc. are measured.
- If possible, you should use more than one method to collect data as
it enhances credibility of the data.
- There are many existing data collection tools available (see Tools
section below) but sometimes it is necessary to create your own data
collection tool. To do this you should implement the following steps:
- Finalize your evaluation questions.
- Decide what information you already have and what information
you will need to collect.
- Based on the type of data you need, choose an appropriate data
collection method.
- Develop tools to collect the data.
While it is impossible to collect data without any bias (e.g., the questions
you are interested in answering lead you to want to collect certain data),
it is possible to minimize bias. You can do this by gathering as
many perspectives as possible, using a variety of methods, checking your
interpretations with the program stakeholders, and ensuring that data
collectors aren't biasing responses by asking leading questions or incentivizing
the respondent to answer in a particular way.
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Creating Culturally Appropriate Evaluation Methods: Examples
from Practice
It is important to consider the cultural context in which you are
conducting your evaluation and to make sure that the data collection
methods you use are sensitive to the cultural context and that you
consider language and literacy barriers of some youth.
As an example, the Director of the Tohono
O'odham Community Action (TOCA) in Sells, AZ explains that Native
American youth and adults negatively associate surveys with a history
of being researched and judged. Thus, when conducting their evaluation
research they engage youth and elders in story telling and capture
the changes in skills, behaviors, etc. through this more accepted
method.
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Once you have chosen your data collection method(s) you are ready to
collect the data. The following are some guidelines for collecting data:
- No matter what type of data collection tools you decide to use, you
should test them with a small sample of volunteers before you implement
data collection. This will allow you to determine whether the tools
are easy to understand, whether the questions are clear, relevant, and
unbiased, if the data collection could be completed in a reasonable
amount of time, and whether there are any improvements that could be
made to the data collection tool.
- Establish a firm schedule for data collection.
- Ensure the data collectors have both the training and the tools they
need for collecting data.
- Make sure data is carefully stored and that confidentiality is maintained.
This does not mean that you can not report the data, but rather that
you do not associate any of the data with a particular person.
Tools
for Data Collection Tools and Methods and Collecting Data:
Innovation Center for
Community and Youth Development - Reflect and Improve:
The Reflect
and Improve tool kit is a resource for community-based organizations
looking to engage youth and adults in the evaluation of community and
youth development initiative. The resources in this section of the tool
kit are designed to help organizations examine various methods for collecting
data and, upon determining the questions they wish to answer, help them
choose the most appropriate data collection method to use.
Also see http://theinnovationcenter.org
Overview
of Methods to Collect Information by Carter McNamara, PhD; last revision
Feb 16, 1998)
This table provides an overview
of the major methods used for collecting data during evaluation.
List
of Survey Methods
This list, created by Gene Shackman,
Applied Sociologist and partially supported by the International Consortium
for the Advancement of Academic Publication includes a list of scholarly
resources for methods in evaluation and Social Resources
SPR Tools for Data Collection Methods
These tools offer guidance for collecting data using different methods including
document review, interviews, and focus groups. They were created and/or adapted
by Social Policy Research Associates for Innovation Center for Community
and Youth Development.
Shelterforce Online
Getting at Impact: A Beginners Guide
This article "Getting at Impact: A Beginner's Guide" written by Dr.
Paul Clements from Western Michigan University gives information on how to measure
program impact as well as a link to information about collecting data.
Observations: An Underused Method to Collect Data
Program Evaluation Tipsheet #37 (PDF)
This Evaluation Tip Sheet created by Pennsylvania State Cooperative Extension
gives information about conducting observations as an evaluation method.
A Field Guide for Designing Quantitative Instruments to Measure Program
Impact
A Field Guide for Designing Quantitative Instruments to Measure Program Impact (PDF)
This guide developed by Dr. Susan Barkman offers guidance for developing quantitative
survey instruments for use in evaluation.
On-line Survey Development
Online Survey Tools (PDF)
This document from NPowerNY offers guidance for nonprofits interested in using
technology to create surveys. The author reviews 8 different online survey creation
tools as well as offering information about what online surveys are and how
to use them.
SPR Evaluation Consent Form
The Evaluation Consent
Form (PDF)
This worksheet created by Social Policy Research Associates for Innovation
Center for Community and Youth Development presents guidelines for developing
consent forms for data collection.
Creating Valid Answer Categories
Program Evaluation Tipsheet #59 (PDF)
This evaluation tip sheet created by Pennsylvania State Cooperative Extension
gives tips and examples for creating answer categories for close-ended survey
questions.
Project Star: Data Collection
Common Data Collection Methods (PDF)
Collecting Performance Measurement Data (PDF)
These worksheets from Project STAR, a Corporation for National and Community
Service sponsored technical assistance provider in performance measurement,
offers information and tips for data collection, including information on various
methods for data collection.
W.K. Kellogg Foundation Evaluation Handbook
The W.K. Kellogg Foundation Evaluation Handbook (PDF)
This document from the W.K. Kellogg Foundation is a guide for non-profit organizations
interested in conducing self-evaluations. Information about data collection
methods and implementation begins on page 69.
Connect with others
Talk with others in the field
who are doing similar work or who have experiences to share. Share your
experiences in Data Collections Tools and Methods and Collecting Data
through the Practitioner Database
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