Data Collection & Analysis, Management | Blog Post
2017
Scavenging Evaluation Data
But little Mouse, you are not alone, In proving foresight may be vain: The best laid schemes of mice and men Go...
Showing 237 Results
None | Blog Post
2017
Research Goes to School (RGS) Model
Data regarding pathways to STEM careers indicate that a critical transition point exists between high school and college. Many students who are...
Data Collection & Analysis | Blog Post
2016
Evaluating Creativity in the Context of STEAM Education
At The Findings Group, we are assessing a National Science Foundation Discovery Research K-12 project that gives students an opportunity to learn...
Management, Planning and Design | Blog Post
2016
The Value of Using a Psychosocial Framework to Evaluate STEM Outcomes Among Underrepresented Students
Drs. Dawn X. Henderson, Breonte S. Guy, and Chad Markert serve as Co-Principal Investigators of an HBCU UP Targeted Infusion Project grant....
Data Collection & Analysis | Blog Post
2016
Course Improvement Through Evaluation: Improving Undergraduate STEM Majors’ Capacity for Delivering Inquiry-Based Mathematics and Science Lessons
One of the goals of the University of Massachusetts (UMass) UTeach program is to produce mathematics and science teachers who not only...
Management | Blog Post
2016
3 Inconvenient Truths about ATE Evaluation
Many evaluations fall short of their potential to provide useful, timely, and accurate feedback to projects because project leaders or evaluators (or...
Engagement, Management | Blog Post
2016
Best Practices for Two-Year Colleges to Create Competitive Evaluation Plans
Northeast Wisconsin Technical College’s (NWTC) Grants Office works closely with its Institutional Research Office to create ad hoc evaluation teams in order...
Data Collection & Analysis, Interpretation | Blog Post
2016
Possible Selves: A Way to Assess Identity and Career Aspirations
Children are often asked the question “What do you want to be when you grow up?” Many of us evaluate programs where...
Data Collection & Analysis, Interpretation | Blog Post
2016
Six Data Cleaning Checks
Data cleaning is the process of verifying and editing data files to address issues of inconsistency and missing information. Errors in data...
EvaluATE is supported by the National Science Foundation under grant number 2332143. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation.