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Webinar: Nonparametric Statistics
Start
28 Aug 2012
1:30 PM
End
01 Sep 2012
3:00 PM
Location
Online
eStudy 018:
Nonparametric Statistics: What to Do When Your Data is Skewed or Your Sample Size is Small - Jennifer Camacho Catrambone
Dates:
Tuesdays September 4 & 11, 1:30-3:00 PM Eastern Time. For one registration fee, participants may attend 1 or both sessions.
Length:
3
total contact hours
Description:
So many of us have encountered situations where we simply did not end up with the robust, bell-shaped data set we thought we would have to analyze. In these cases, traditional statistical methods lose their power and are no longer appropriate. This workshop provides a brief overview of parametric statistics in order to contrast them with non-parametric statistics. Different data situations which require non-parametric statistics will be reviewed and appropriate techniques will be demonstrated using screenshots of SPSS analysis software. Beginners to nonparametric stats and those looking for a refresher are welcome.
This eStudy will occur in two 90-minute sessions and will include preparation materials sent before, between, and after the sessions. The instructor will demonstrate how to run the non-parametric statistics in SPSS.
Attendees will learn:
• What non-parametric statistics are
• How to identify situations in which your data requires non-parametric statistics versus parametric statistics
• How to run a variety of non-parametric statistics in SPSS
• How to interpret and report results
Presenter:
Jennifer Camacho Catrambone uses statistics as part of her work at the Ruth M Rothstein CORE Center. She regularly teaches informal courses on the use of non-parametric statistics in the evaluation of small programs and enjoys doing independent evaluative and statistical consulting. Jennifer routinely gives this popular workshop at the annual conference, where it receives kudos for making the confusing accessible.
Register:
https://www.eval.org/webinar_reg/Registrationtop.asp
Last day to register is Tuesday August 28
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