Six Data Cleaning Checks
2016
Data cleaning is the process of verifying and editing data files to address issues of inconsistency and missing information. Errors in data...
Six Data Cleaning Checks
ATE PI 2015- Workshop: Mid-Life Project Evaluation: Setting the Stage for Continued Funding
2015
Tips for Data Preparation
2015
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
2015
Using data from the ATE Survey, this video demonstrates the use of project-, program-, and national-level data for benchmarking and evaluation.
Evaluating Impact: How I Moved From Pipeline to Interstate
2014
John Sener of Sener Knowledge LLC, an external evaluator for over a dozen ATE and other NSF grants over the past eight...
This is How “We” Do Data: Collect, Unravel, Summarize!
2014
At this time of year (early spring), we at FLATE stop to review, tally, analyze, and aggregate our collected data from the...
ATE PI 2013- PreConference: Strategies for Meaningful Interpretation of ATE Evaluation Data
2013
Evaluation Recommendations Guide
2013
This 2013 guide provides helpful tips to use when writing evaluation recommendations.
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