Program Evaluation for Women & Girls of Color: Do You Need Quantitative or Qualitative Data?

This is part four in a four-part series on program evaluation, dedicated to organizations and businesses that provide programs and services for women, girls, and communities of color (and for people with an interest in evaluation practice). Throughout this month, I will be discussing certain aspects of evaluation practice –from how I became interested in evaluation, myths about evaluation, knowing what type of evaluation to perform, and bringing your community together to support evaluation – with the intent on highlighting the importance of evaluation not just from a funding perspective, but from an accountability and empowerment perspective.
In Part One, I shared how I got started in evaluation practice. In Part Two, I shared some of the common myths about evaluation that can cause us to look at evaluation negatively. In Part Three, I shared how asking the right questions is the key to successfully evaluating your program or service.
Now that you’ve determined why you want to evaluate your program or service, and you’ve decided if you should evaluate as the program or service is in the development stages or at its conclusion (or both!), it’s time to determine what type of data you want to collect.
The Basics
When it comes to research and evaluation, there are two types of data: quantitative data and qualitative data.
With quantitative data, you’re collecting information that can be mathematically analyzed in a numerical fashion. You want to use quantitative data:
*To see what correlations exists between various factors
*To gather demographics (age, gender, race, grade level, etc.)
*To get the answers for “who”, “what”, and “how many” of an occurrence
*To draw a more generalized conclusion about a population
You can collect quantitative data through:
*Pre- and post-tests
*Surveys
*Questionnaires
*Brief telephone interviews or in-person interviews
In comparison, qualitative data is collected when you want to analyze a more narrative form of data that can’t be mathematically analyzed. You want to use qualitative data:
*To get more in-depth explanations between correlated factors
*To gain insights into behaviors and experiences of a population
*To get the answers for “why” and how” something is occurring
*To have a “voice” within a population rather than a generalization
You can collect qualitative data through:
*Observation
*Focus groups
*In-depth interviews (with stakeholders, program participants, or staff members for example)
*Case studies
Here Is an Example of Each
Let’s revisit our example from Part Three:
An evaluation of 11 high schools across the Lubbock, Texas school district looked at peer influence as a key component of delayed onset of sexual activity of the district’s mandated abstinence-based sex education curriculum. Let’s say that we expect the result of our program to be that students are heavily influenced by their peers in whether they are successful at delaying onset of sexual activity (vaginal, anal, and oral sex.)
An example of a quantitative question: Who are the students involved in the program? (Age, race, gender, sexual experience at time of program, etc.)
With this question, you’re collecting data on the participants’ demographics (the WHO) to determine who is participating in your program or service.
An example of a qualitative question: Do you feel that your peers play a role in whether or not you delay sexual activity?
With this question, you’re collecting more of a narrative as to why your participants feel they way that they do (the WHY). While this question can be answered as an open-ended question on a survey, by asking this question within a focus group or an in-depth interview setting, you’re able to get more detailed information.
Which is Best?
Comparing quantitative data and qualitative data is like comparing apples to oranges. They are both useful forms of data, like apples and oranges are delicious types of fruit. How will you know to use which form of data collection? It depends on how you want to answer your evaluation question.
Deciding between quantitative and qualitative methods is largely based on your evaluation questions as well as on the practicality of collecting your data. A clearer way to decide between quantitative and qualitative data collection is to decide how specific or how general you want to be. (more…)