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Comparative Statistics (three or more group comparisons—ANOVA and Post Hoc tests)

Comparative Statistics (three or more group comparisons—ANOVA and Post Hoc tests)

HOST: Julie I. Johnson, PhD

OVERVIEW

These sessions are designed to be hands-on and provide you with guidance on how to: run statistical tests using data from a shared dataset, interpret the output, and relate the output to findings in real journal articles. We’ll also talk about how you present your data in a learning achievement, dissertation chapter, or journal article. You will work with datasets and have some homework between sessions.

NOTE: You will have the best experience if you can access Antioch Remote Access SPSS or have a copy of the program resident on your computer. That said, you may also participate without doing the hands-on activities.

PRE-REQUISITES
There are no explicit prerequisites.  It will help if you have attended a few quantitative sessions at a residency or participated in a inter-residency session focused on SPSS or quantitative concepts, but you are also welcome to join in, listen, lurk, or actively participate regardless of your background.

These sessions are for AU PhDLC students from Year 1 through completion of their dissertation.  

HOW to PARTICIPATE
We will use Zoom as the connection platform. Zoom will work on your computer, phone, and tablet. Use the ZOOM link button in our program site on the Inter-Residency sessions page. Also - look for a reminder email one hour before your session - it includes this Zoom link.

Date:
Monday, January 28, 2019
Time:
7:30pm - 9:00pm
Location:
Affiliate Faculty Zoom Room - https://antioch.zoom.us/my/afaculty
Audience:
  Students - All     Students - Entering Candidacy     Students - Pre-Candidacy     Students in Candidacy     Students in ProCan     Students Post Residency/Pre-Candidacy     Students Years 1-3  
Categories:
  Inter Residency Quantitative Methods Sessions     Inter-residency Webinar/Workshop     ProCan  
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Event Organizer

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Julie Johnson

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Note- All times are in Eastern Time