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Not Just an Anecdote: Systematic Analysis of Qualitative Evaluation Data

As a Ph.D. trained anthropologist, I spent many years learning how to shape individual stories and detailed observations into larger patterns that...

Reporting Anticipated, Questionable, and Unintended Project Outcomes

Project evaluators are aware that evaluation aims to support learning and improvement. Through a series of planned interactions, event observations, and document...

Integrating Perspectives for a Quality Evaluation Design

Designing a rigorous and informative evaluation depends on communication with program staff to understand planned activities and how those activities relate to...

Evaluation’s Role in Helping Clients Avoid GroupThink

In December of 2016, I presented a poster on a STEM-C education project at the Restore America’s Estuaries National Summit, co-hosted by...

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...

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...

Tips for Data Preparation

Over the course of analyzing data for a number of projects, I have encountered several situations that can make it hard to...

Demonstration: Using Multiple Sources and Levels of Data

Using data from the ATE Survey, this video demonstrates the use of project-, program-, and national-level data for benchmarking and evaluation.

Nation Science Foundation Logo EvaluATE is supported by the National Science Foundation under grant numbers 0802245, 1204683, 1600992, and 1841783. 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.