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Descriptive Statistics (means, percentage distributions, standard deviations, bivariate correlations)

Descriptive Statistics (means, percentage distributions, standard deviations, bivariate correlations)

HOST: Julie I. Johnson, PhD


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.

You should have a basic understanding of the statistical concepts for descriptive, comparative and correlational study designs.

These sessions are for AU PhDLC students only. They are not intended for Year 1 students.

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.

HOW to REGISTER:  You may participate in any or all of the sessions. The two sessions on each date will cover the same material.  Please only sign up for one session per date.  You will need to register for each session individually.

Tuesday, September 4, 2018
8:30pm - 9:45pm
Affiliate Faculty Zoom Room - Use Quantitative Sessions Join Button on Inter-Residencies Page
  Students - Entering Candidacy     Students - Pre-Candidacy     Students in Candidacy     Students in ProCan     Students Post Residency/Pre-Candidacy     Students Year 2     Students Year 3  
  Inter Residency Quantitative Methods Sessions     Inter-residency Webinar/Workshop     ProCan  
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Julie Johnson

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Note- All times are in Eastern Time