Within the context of program evaluation, data collection is the process of gathering and measuring information from various sources in a systematic way to answer a program evaluation question. Many evaluations will rely on both quantitative (numeric) and qualitative (non-numeric/descriptive) data to gain a fuller understanding of their program’s activities. The table below highlights some of the main differences between the two data types.
Table (4.1). Data Types: Quantitative and Qualitative Data
Quantitative Data (Numeric) | Qualitative Data (Non-Numeric) |
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Reveals quantities, such as counts and measurements. | Reveals qualities, such as descriptions, opinions, experiences, and assessments. |
Less subjective | More subjective |
Answers the questions: “How many?” “What?” and “Who?” | Answers the questions: “Why?” and “How?” |
Survey question example: Did you receive a harm reduction kit during your visit? [yes/no/not sure] |
Interview question example: What did you like most about your visit? |
Data example: 57% of the 100 respondents received a harm reduction kit during their visit. |
Data example: “I liked the fact that you treated me like a human being, and gave me things that I could use like the harm reduction kits and the Narcan.” |
It is important to keep in mind that your data collection process should be informed by your evaluation needs, your timeline, and what has worked best for your program and program participants in the past. Qualitative and quantitative data collection usually work together to provide a robust set of information about your program’s activities and accomplishments.
When considering which type to collect or how to combine the two, remember you are representing/reporting on real lives and complex conditions. Your data should add detail and depth, not compress it.
Voices from the Field: Sam Armbruster
“Although it can be challenging to incorporate both quantitative and qualitative data in a report, I try to include as much detail and context as possible in the narrative sections of reports within the bounds provided. It significantly deepens the value of data to understand and discuss conditions that any harm reduction organization is operating within because geography, policy, demographic, and historical context all greatly impact the ways people can and cannot engage in Harm Reduction and related services.”
Commonly used data collection methods for program evaluations are:
The following tables provide an overview of the each of these data collection methods:
Table (4.2). Data Collection Method: SURVEYS
Surveys (also referred to as questionnaires) are written tools that are used to collect information from multiple respondents, for example, on their view of the program and how the program is being implemented.
Data Type |
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Examples of Data Sources |
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Advantages of Surveys |
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Challenges of Surveys |
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SURVEYS
collect a lot at once
Helpful Resources:
Collecting Evaluation Data: Surveys by University of Wisconsin
Program Evaluation Tip Sheet – Constructing Survey Questions by CDC
Data Collection Methods for Program Evaluation: Questionnaires by CDC
Checklist to Evaluate the Quality of Questions by CDC
Table (4.3). Data Collection Method: INDIVIDUAL INTERVIEWS
Individual interviews are conversational sessions that are conducted with program participants, either in person or virtually, to gain an in-depth understanding of their experiences and opinions.
Data Type |
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Examples of Data Sources |
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Advantages of Individual Interviews |
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Challenges of Individual Interviews |
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INDIVIDUAL INTERVIEWS
clarify info in real time
Helpful Resources:
Using Qualitative Interviews in Evaluations: Improving Interview Data by Westat
Data Collection Overview: Interviews by CDC
Table (4.4). Data Collection Method: OBSERVATIONS
Observations are written documentation (usually completed by staff) of program events and/or participant interactions.
Data Type |
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Examples of Data Sources |
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Advantages of Observations |
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Challenges of Observations |
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OBSERVATIONS
can help you understand an ongoing process
Helpful Resources:
Collecting Evaluation Data – Direct Observation by University of Wisconsin
Table (4.5). Data Collection Method: DOCUMENT REVIEW
Document review involves the gathering of existing program documents, monitoring data and records.
Data Type |
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Examples of Data Sources |
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Advantages of Document Review |
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Challenges of Document Review |
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DOCUMENT REVIEW
is comprehensive
Helpful Resources:
Data Collection Method: Document Review by CDC
Table (4.6). Data Collection Method: FOCUS GROUPS
Focus groups are conversational sessions that are conducted with a group of program participants, either in person or virtually, to gain an in-depth understanding of their experiences and opinions.
Data Type |
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Examples of Data Sources |
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Advantages of Focus Groups |
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Challenges of Focus Groups |
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FOCUS GROUPS
quickly capture a range of thoughts
Helpful Resources:
Data Collection Overview: Focus Groups by CDC
Using Focus Groups in Program Development and Evaluation by University of Kentucky