Assessment Data Analysis Toolkit
Assessment data provide a means to look at student performance in order 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 in order to appropriately utilize and communicate the assessment results. The resources below are intended to help faculty and programs summarize and display data collected about student learning as part of program or course assessment. They assume some familiarity with basic data analysis and with the academic program of interest.
ATL is available to work with undergraduate programs to analyze and create visual displays of assessment data to engage faculty in discussions of assessment results; contact us for additional information.
- 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 ATL 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 ATL if you have questions about distinguishing the data needs of program-level assessment and educational research, or about sharing results from assessment.
Sort by Resource, Topic or other column to find what you need.
|Data Organization||ATL - WSU||Organizing Assessment Data for Analysis||PDF resource containing tips and suggestions intended to help faculty consider best practices and plan for organizing data collected about student learning|
|Quantitative Data Analysis||ATL - WSU||Analyzing Quantitative (Numeric) Assessment Data||PDF resource containing tips and suggestions intended to help faculty consider best practices and plan for summarizing quantitative (numeric) data about student learning|
|Qualitative Data Analysis||ATL - WSU||Analyzing Qualitative (Textual) Assessment Data||PDF resource containing tips and suggestions intended to help faculty consider best practices and plan for summarizing qualitative (textual) data about student learning|
|Qualitative Data Analysis||University of Hawaii, Manoa||Analysis of Open‐Ended Survey Responses – Where to Start?||PDF resource with a step-by-step guide for tackling open-ended survey response analysis|
|Quantitative & Qualitative Data Analysis||University of Hawaii, Manoa||Making Sense of Assessment Data||PDF resource addressing how to use meaningful questions to guide data analysis and practical techniques to summarize and synthesize assessment data that are numeric and text-based|
|Reporting Results||ATL - WSU||Reporting Assessment Results to External Stakeholders||Webpage with tips and resources for effectively reporting assessment results to external stakeholders|
|Data Stewardship||ATL - WSU||Assessment Data Stewardship: Tips for Academic Programs||PDF resource with data stewardship tips for those collecting and managing degree program assessment data that align with WSU’s Executive Policy #8|