Stats for The Masses Webinars!
Elaine is taking a small hiatus from the webinars to do some brainstorming of new webinars and workshops, and to add some enhancements to our current offerings. She'd love to hear from you about topics you'd like to see later in 2017! Send her an email: [email protected]
Join us for our series of FREE webinars on the 3rd Wednesday of each month at 2:00 p.m. PDT.
All registrants will receive a free recording of the webinars. So if you cannot attend live, you can watch them later at your convenience.
Click on the links below to register for the webinars you would like to view. After registering, you will receive a confirmation email containing information about joining each webinar.
The webinars and recordings are FREE! But space is limited, so register soon.
June 21, 2017: Good Measures I: Preparation and Possibilities
In the first session of the Good Measures series, Elaine will begin with a basic overview of the steps in a typical survey design process. She will then discuss the many aspects of research methodology and design that you should consider before you formulate your first survey question.
July 19, 2017: Good Measures II: Survey Structure and Response Formats
There are a myriad of ways to ask a question. In the second session of the Good Measures series, Elaine will present and discuss many ways of structuring surveys to elicit the responses you need. She will also provide a brief overview of how technology can be used to increase response rates and provide useful data.
August 16, 2017: Good Measures III: Testing, Testing
In the third session of the Good Measures series, Elaine will provide an overview of statistical tests which can be used to refine and/or substantiate your instrumentation. Learn about factor analysis, Cronbach’s alpha coefficients, and correlational tests. Bring your questions for the Q&A.
September 20, 2017: Good Measures IV: Validity and Reliability, A Continuing Process
Just how good is your survey? Does it measure what it is supposed to? Does it hold up with another sample or with another group of people? In the fourth session of the Good Measures series, Elaine presents an overview of techniques used to establish survey validity and reliability. At the end of the webinar, you will understand why the processes of validity and reliability are ongoing and continue long after you think your survey is perfected.
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 a 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. Download the free recording which you can view at your convenience:
November 2013: Power Analysis - A Brief Yet Useful Overview
Our October webinar, Power Analysis - A Brief Yet Useful Overview, is available as a recording which you can view at your convenience:
July 2013: Overview of Research Designs
Our July webinar, Overview of Research Designs, is also available as a recording which you can view at your convenience:
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"