# WEBINARS & WORKSHOPS

### Stats for The Masses Webinars!

Feel free to click on any of the webinars listed below to be directed to the Omega Statistics channel on YouTube to view for free!

I will announce new videos in my monthly newsletter as they become available, so so sign up to keep in touch and informed of all the happenings here at Omega Statistics.

I'd love to hear from you about statistical topics or analyses you'd like to see in more detail so send me an email at [email protected] with your ideas and/or suggestions!

## Past Webinars

### June 15, 2016: Back-to-Basics III: P-Values and Effect Sizes

Contrary to popular opinion, the p-value is not the most important way, and in many cases not the best way, to support a study's findings. Find out why effect sizes ARE important to research and why they are becoming more so.

### February 17, 2016: Back-to-Basics II: Research Questions, Hypotheses, and Inference

In Back-to-Basics I, you learned the Why. Now understand the How. Elaine will present the processes of statistics as relates to the Scientific Method. This webinar is a must-see if you struggle with concepts of hypothesis testing and inference.

### June, 2015: Chi Square and Friends: Fun with Contingency Tables

Wondering what to do with those categorical variables? Please join Elaine Eisenbeisz of Omega Statistics as she introduces you to chi-square and similar tests of association using contingency tables. She will also cover the use of contingency tables involving repeated measures.

### January, 2015: Overview of Logistic Regression

Logistic Regression is something every researcher should have in his or her statistics toolbox.

Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of logistic regression. Learn how to code your data properly, check your assumptions for analysis, and how to understand and use odds ratios and likelihoods.

### December, 2014: Overview of Multiple Regression

Multiple Regression is one of the most informative data analysis techniques there is!

Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of multiple regression using ordinary least squares techniques (OLS). Learn how to code your data properly, check your assumptions for analysis, and how to use a regression model to predict outcomes.

### October, 2014: Overview of Correlation Analysis

So many correlations, so little time!

Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of various correlational analysis techniques. Learn which correlation fits your data best. You will also learn how correlation, chi-squares, and t-tests are related!

### August, 2014: Multiple Imputation: A Righteous Approach to Handling Missing Data

It will sound like cheating, but it isn't. It's so righteous dude! Multiple imputation (MI) is an effective and responsible way to handle data which is missing at random (MAR). You'll find out what that means too...

Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of MI concepts.

### February, 2014: GIGO NO-NO's! Problems and Solutions in Data Preparation

Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents a few tools and techniques for assuring your data entry and statistical analyses are in good form.

### November 2013: Power Analysis - A Brief Yet Useful Overview

Want to know how to find the right sample size for your study? Too few subjects and you'll waste time.  Too many subjects and you'll waste time and money! Watch this video and understand a bit more about computing a sample size.

### July 2013: Overview of Research Designs

You  have an idea of what you want to do for your research, but where do you start with the analysis plan? Start with knowing about the types of research designs and their applications. Join Elaine Eisenbeisz of Omega Statistics as she presents a brief yet useful overview of study design.

### October 2012: Overview of Nonparametric Techniques

An oldie but goodie from October 2012. Elaine presented a webinar hosted by Karen Grace Martin of The Analysis Factor entitled "Overview of Nonparametric Techniques"