Presenter:
Dr. Jennifer Ann
Morrow
Associate Professor
of Evaluation Statistics and Methodology
University of
Tennessee - Knoxville
Description:
Evaluation data, like
a lot of research data, is messy. Whether we collect the data ourselves or our
client provides us with their evaluation data we have to first develop a plan
for how we are going to organize and clean the data prior to addressing our evaluation
questions. This eStudy will take you through a 12-step process for organizing
and cleaning your evaluation data. We will go through each step and the various
decisions one needs to make at each step. The 12-step process will be
demonstrated using a real ‘messy’ evaluation dataset. Additional resources and
suggestions for software to utilize to clean your data will be provided.
Learning Outcomes:
- What our recommended twelve steps are for cleaning dirty quantitative evaluation data
- Suggestions for ways to deal with messy evaluation data at each step
- Hands-on experience reviewing quantitative analysis outputs and making decisions regarding data cleaning options
Bio:
Dr. Jennifer Ann Morrow is an Associate Professor of Evaluation Statistics and Methodology at the University of Tennessee – Knoxville. Her main areas of research are higher education assessment and evaluation, strategies for teaching emerging evaluators, and creative methods for teaching methodology. She has been conducting evaluations and assessment studies in a variety of educational and community settings for 20 years. Dr. Morrow loves conducting workshops and webinars on the topic of data cleaning and hopes to write a book on this topic one day.
Facilitation Experience:
AEA eStudies: 2013 and 2015 (data cleaning)
AEA pre-conference workshop (6-hours; data cleaning): 2012-2015, 2017
AEA institute workshop (data cleaning): 2015-2017
AALHE/Watermark webinar (Addressing the needs of assessment professionals): 2018
Primary Audience:
Emerging and experienced evaluators. Both novice and seasoned evaluators would benefit from learning about an organized method of cleaning evaluation data. This is a topic that is not well covered in most graduate-level statistics courses.
Note:
Once you purchase the eStudy you must register for each session. Recordings will be made available to registrants unable to attend sessions live. Recordings will be made avaliable to all registrants for 90 days.