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QUESTION

Imagine you work at a non-profit agency that provides after-school tutoring and extracurricular activities for the children in the community. You have been assigned to evaluate the satisfaction of the parents/guardians of the children you’re providing services for.

Discuss the following with your classmates:

• Would you choose a qualitative or quantitative method for the evaluation?
• Why would you choose that method?
• What makes your method qualitative or quantitative?

SOLUTION

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 1. Deciding on the Research Method: Qualitative or Quantitative?
For quantifying the satisfaction of parents/guardians with the after-school tutoring and extracurricular activities, I would prefer a quantitative approach to the evaluation. This process would provide data that is quantifiable and can be easily analyzed and compared, which is appropriate for gauging general satisfaction in a systematic way.

 2. Why Quantitative?
Quantitative methods allow me to collect numerical data that can be analyzed statistically. With surveys containing Likert scale questions (e.g., “On a scale of 1-5, rate your satisfaction with the after-school tutoring program?”), I can collect standardized data from parents/guardians. This method allows for trends to be more easily identified, levels of satisfaction to be compared between groups, and change to be tracked over time. For example, we might discover if satisfaction shifted following the attempt at a new tutoring method or activity.

The advantage of utilizing quantitative methods in this case is that we are able to measure the level of satisfaction and come up with precise, objective outcomes that can inform decision-making, such as making changes to the program or otherwise.

3. Why Is This Quantitative?
Its quantitative aspect is because data collected is numerical and based on measurable scales. Most critical aspects that make it quantitative include:

Survey design: The use of closed-ended questions with pre-formulated response options (e.g., 1-5 scale).

Data analysis: Analyzing the numerical data statistically to search for trends and patterns.

Objective: Attempting to quantify satisfaction levels and gain measureable, concrete evidence of the program’s success.

 4. Conclusion: Quantitative Research Strength
Quantitative methods will provide clarity, consistency, and actionable results. While qualitative methods, like open-ended interviews, can provide rich, detailed feedback, quantitative research makes it easy for data to be analyzed, compared, and utilized at a larger level. It‘s a great choice when you want to track satisfaction levels with a larger sample and make evidence-based decisions for the program.

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