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Office of Assessment for Curricular Effectiveness Division of Academic Engagement and Student Achievement

Assessment Data Analysis

Assessment data provide a means to look at student performance to offer evidence about student learning in the curriculum, provide information about program strengths and weaknesses, and guide decision-making. Analyzing the data — in context — gives meaning to the information collected and is essential to appropriately utilize and communicate the assessment results.

Types of Assessment Data Analysis

Generally, data collected for program-level assessment fall into two categories: quantitative and qualitative.

  • Quantitative data analysis relies on numerical scores or ratings and is helpful in evaluation because it can provide quantifiable results that are easy to calculate and display.
  • Qualitative data consists primarily of words and observations, rather than numbers. Qualitative data can come from a variety of sources including open-ended survey questions, focus group notes, essay responses, and student portfolios, for example. Qualitative data can be useful for answering “why” and “how” questions about student performance, approach, motivation, or experience.

Note: Some textual data can be coded into a numerical form and analyzed as quantitative data. For example, rating scale data can be assigned values, such as: does not meet expectations = 1, partially meets expectations = 2, meets expectations = 3, exceeds expectations = 4.

Assessment Data Analysis Toolkit

The resources below are intended to help programs and faculty summarize and display data collected about student learning as part of program-level assessment. They assume some familiarity with basic data analysis and with the academic program of interest. ACE is available to collaborate with undergraduate degree programs to analyze and create visual displays of assessment data to engage faculty in discussions of assessment results; contact us for additional information.

Note:

  • Many of these resources contain strategies for organizing, analyzing, and presenting assessment data using Microsoft Excel. While other software can be used for assessment purposes, instructions for their specific use are not addressed.
  • While these resources provide techniques and examples for many types of data and situations, it is up to the user to determine what methods are appropriate for their specific needs and type of data.
  • Please contact ACE for assistance determining appropriate analysis methods or data collection practices for program assessment, or with other questions about using these resources.

Educational Research and Publication: While assessment utilizes many of the same qualitative and quantitative methodologies applied by traditional social science research, these resources are NOT designed for those who are interested in generating/publishing scholarly research from their assessment activities or findings. Please contact ACE if you have questions about distinguishing the data needs of program-level assessment and educational research, or about sharing results from assessment.

Sort by Topic, Type, Author, or Title to find what you need.

TopicTypeAuthorTitleDescription
Data OrganizationQuick GuideACE - WSUQuick Guide to Organizing Assessment Data for AnalysisPDF resource intended to help WSU programs and faculty consider good practices for organizing and cleaning data collected about student learning as part of program-level assessment
Quantitative Data AnalysisQuick GuideACE - WSUQuick Guide to Analyzing Quantitative (Numeric) Assessment DataPDF resource intended to help WSU programs and faculty consider good practices for summarizing quantitative data collected about student learning as part of program-level assessment
Quantitative Data AnalysisQuick GuideACE - WSUQuick Guide to Summarizing and Displaying Program Assessment Data from Student Work Evaluated with a RubricPDF resource intended to help WSU programs and faculty consider strategies for summarizing and presenting data collected from the evaluation of student work with a rubric as part of program-level assessment
Quantitative Data AnalysisTemplateACE - WSUTemplate for Creating Visual Displays of Rubric DataExcel template intended to help WSU programs and faculty create visual displays of assessment data collected from the evaluation of student work with a rubric as part of program assessment; Note: ACE recommends that you review our Quick Guide to Summarizing and Displaying Program Assessment Data from Student Work Evaluated with a Rubric in conjunction with this template
Qualitative Data AnalysisQuick GuideACE - WSUQuick Guide to Analyzing Qualitative (Textual) Assessment DataPDF resource intended to help WSU programs and faculty consider good practices for summarizing qualitative data collected about student learning as part of program-level assessment
Sample RepresentationQuick GuideACE - WSUQuick Guide to Sampling, Sample Sizes, and RepresentationPDF resource intended to help WSU programs and faculty consider good practices for considering sample sizes and strategies for program-level assessment
Data StewardshipQuick GuideACE - WSUQuick Guide to Assessment Data Stewardship for Academic ProgramsPDF resource intended to help WSU programs and faculty consider good practices for collecting, managing, and using program assessment data that align with WSU’s Executive Policy #8

Additional Resources and Scholarship

Books

Note: Please contact ACE to borrow a book.

Barkley, E. & Major, C. (2016). Learning Assessment Techniques: A Handbook for College Faculty. San Francisco, CA: Jossey-Bass.

Creswell, J. (2013). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Los Angeles, CA: Sage.

Krueger, R. & Casey, M. (2009). Chapter 6: Analyzing focus group results. In Focus Groups: A Practical Guide for Applied Research. Los Angeles, CA: Sage.

Suskie, L. (2018). Chapter 23: Summarizing and storing evidence of student learning. In Assessing Student Learning: A Common Sense Guide. San Francisco, CA: Jossey-Bass.

Articles

Taylor-Powell, E. & Renner, M. (2003). Analyzing Qualitative Data. University of Wisconsin-Extension: Program Development and Evaluation.

Other

University of Hawaii at Manoa Assessment and Curriculum Support Center. (2013). Making Sense of Assessment Data Workshop Slides.