Survey Analysis

Educator or education leader analyzes survey data to evaluate the implementation and/or effectiveness of an innovative program, curriculum, product, or device.
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About this Micro-credential

Key Method

The educator or education leader analyzes survey data by preparing and analyzing the quantitative and open-ended responses to identify key findings or trends.

Method Components

  1. Prepare your data for analysis
  2. Before analyzing survey results, it is helpful to organize data in a systematic way. To analyze quantitative survey results more easily, convert variables to numeric formats and keep track of the codes. For example, gender responses could be recoded to 0 for “Male,” 1 for “Female,” and 3 for “Prefer not to say.” Be sure to create a code book where you note what the values mean. 

    Try to be consistent. On all agreement questions, for example, try to use low values for disagree and high values for agree, making it simpler when you analyze the data. 

  3. Analyze the Data
  4. Survey analysis can involve measuring change in attitudes and behaviors from pre-post responses. Similar to measuring change using formative and summative assessments, calculate and compare the average response rates on the pre- and post-surveys. In cases with large, demographically diverse sample groups, try measuring changes for specific subgroups. Or, if there are students who regularly struggle in the subject area, closely examine their changes in attitudes and behaviors to see how the program, tool, or product affected them. 

    Most descriptive analysis is available in dashboard form when using free survey tools like SurveyMonkey or Google Form. When using tools other than these, Excel can be used to quickly analyze results. Use the “find and replace” feature to quickly convert string data to numbers. To learn more about using these tools, refer to the available resources. 

    To analyze open-ended responses, read through the responses to identify common themes. With a clear sense of the big ideas, list the themes that emerged. It is also important to note any responses in strong dissent with the common themes. Make sure to place value on all student voices when analyzing the data to inform decisions. 

  5. Turn Evidence into a Decision
  6. Review results from the analyses to identify key findings that can be used to determine whether the study goal was met, and to make evidence-based decisions for next steps. Focus on particular questions of interest in the survey to help narrow down the focus, and then address interesting findings, such as unexpected changes, responses, or trends. Be sure to consider all learners in this process, with a particular focus on students typically marginalized in their learning experiences and outcomes.

Research & Resources

Supporting Research


Submission Requirements

Submission Guidelines & Evaluation Criteria

Part 1. Overview Questions

(300-word limit)

Review the study goal or research question. Which data are necessary to determine the success of the study or answer the research question? (Completing Part 1 before engaging with Part 2 will be beneficial to successfully completing this micro-credential.)

  • Describe the scope of the study, making sure to discuss:
  • The pilot goal or research question
  • Whether any pre- to post- data were gathered
  • Specific survey questions that help answer whether the study goal was met and why these will be interesting to consider
  • In the submission, include a PDF or word document to share the pre-post surveys or the single survey that was administered.

Part 2. Work Examples / Artifacts

To earn this micro-credential, submit a report detailing the steps to prepare and analyze the survey results. Include the final, evidence-based recommendation for next steps. Use these questions as prompts:

  • How did you prepare the data? Did you keep track of data codes?
  • How did you analyze the quantitative survey(s) questions? Were there students who exhibited changes different from the average? How will you incorporate their responses in your decision making?
  • How did you analyze open-ended survey questions? Are there themes or patterns consistently mentioned? Were there particular responses that strongly disagreed with these common themes?
  • How can your analysis speak to the pilot goal?
  • Based on the data, what should you do for next steps?
  • What limitations were involved in data collection and/or analysis? How significant are these limitations when considering the recommended next steps?

Part 3. Reflection

(200-word limit)

After you analyzed the data, write a reflection that addresses the following:

  • Was this approach different from how you typically analyze survey results? If so, how?
  • How you will administer and analyze surveys in the future?
  • Did this influence the way you think about evidence-based decision making?
  • Did this influence the way you intend to determine whether an innovative program or product is being used successfully? Why or why not?

Except where otherwise noted, this work is licensed under:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)


Download to access the requirements and scoring guide for this micro-credential.
Requirements for Survey Analysis
How to prepare for and earn this micro-credential - in a downloadable PDF document

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