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Understanding regression output got you stymied?
Frustrated with how to read the coefficients for categorical variables?
Panicked because you added a new variable or interaction, and it changed all the other results in the model?
Uneasy about understanding your regression or ANCOVA results well enough to write them up?
Most researchers can relate!
Let’s face it: The statistics classes you’ve had so far have probably focused on straightforward models with only continuous predictors.
But real research, unfortunately, isn’t usually that simple.
At some point, you’re going to need to build a more complex model, one that includes multiple types of predictors with different types of scaling to test all sorts of research questions:
There are ways to set up the model so the interpretation is much easier.
When you understand linear regression coefficients for all types of predictor variables, you can build more sophisticated and accurate models. AND you can easily translate your findings into meaningful results.
Bridging the gap to a deeper understanding of regression coefficients is within your reach.
Our solution: This foundational workshop that’s essential for anyone undertaking data analysis for publication or a thesis:
By the end of this workshop, my goal is for you to understand linear regression coefficients for all types of predictor variables. You’ll know how to set up your models so that later interpretation is much easier.
And when you do go on to learn multilevel models, logistic, Poisson, or any other kind of regression, you can focus on the unique challenges of that type of modeling rather than getting stuck on the fundamentals.
In this six-module live, online workshop, we'll cover:
Workshop Content by Module
Module 1: Introduction and Review of Regression Models with Continuous Predictors
Module 2: Scaling of Dependent and Independent Variables
Module 3: Multiplicative Terms for Continuous Predictor Variables
Module 4: Dummy Coding Binary Predictors: Main Effects and Interactions
Module 5: Dummy Coding Multi-Category Predictors: Main Effects and Interactions
Module 6: Putting It All Together
Now that you understand all the pieces, we’ll start with how to intentionally choose the scaling and coding of variables, even when it seems a choice isn't available. Then we'll see how all the terms fit together in one big model, and how to break the model apart to understand each term. (This is often the trickiest part).
This workshop is for you if:
— You’re learning an extension of linear regression (such as multilevel, logistic regression, or proportional hazard models) and aren’t sure how to understand the results.
— You’re using linear regression or analysis of covariance — but you’re far from experienced at it and want to really understand the implications.
— You’re prepping to defend your regression analyses and need a rock-solid understanding of the meaning of your models.
— Your statistics training focused mostly on ANOVA, and not so much on linear regression, and you’re finding your lack of understanding of regression is limiting your ability to apply appropriate analyses to your data.
It is NOT for you if:
— You are looking for training on steps to RUN the model. This workshop is about understanding the results. It will help you make future decisions about how to scale variables and the usefulness of terms like interactions and polynomials, but it's really not about model building.
— You already feel comfortable interpreting interactions, know how recoding predictors affects the information the model tells you, and are a whiz at dummy coding.
— You have never run any data analysis before. If it's been a while, no problem--you'll love this workshop--but if you're a beginner, you won't.
So what kind of background in statistics do you need?
There are six workshop training sessions and four Q&A sessions.
Workshop orientation (Optional):
Monday, December 3, 2018 from 3pm - 4pm (ET)
Live Workshop Dates: Tuesdays & Thursdays, 3pm - 4:30pm (ET)
Module 1 – December 4
Module 2 – December 6
Module 3 – December 11
Module 4 – December 13
Module 5 – December 18
Module 6 – December 20
Q&A Session Dates: Wednesdays, 3pm - 4pm (ET)
Module 1 – December 5
Module 2 – December 12
Module 3 – December 19
Module 4 – January 2
Remember, everything is recorded and available for you to watch at your convenience, should you be unable to attend a live session.
Also, you have access to all the class materials for a full 12 months from your enrollment date.
How Does It Work?
This course is a 6-module live, interactive online workshop from December 4, 2018 to January 2, 2019.
All sessions are conducted online via live webinar. You can log in via phone or Internet. You’ll see the instructor’s screen to view the presentation…all from your own home or office.
During each webinar session, the instructor will cover core concepts and steps and will leave plenty of time to ask your own questions.
For each of the six modules, you will have a set of training resources and material.
In addition to the six training sessions, you’ll also meet with your instructor for four additional Q&A sessions where you can get additional assistance on workshop concepts, deepen your knowledge, and clarify any questions.
All 6 Workshop Sessions and 4 Q&A Sessions Are Recorded for Your Convenience.
We’ve also included a few bonus videos from some webinars on relevant topics to help your understanding.
• The 13 Steps to Running Any Statistical Model
• The First 3 Steps in Running Any Statistical Model: Define and Design
• Dummy and Effect Coding
• A Review of Logarithms for the Data Analyst
You’ll have access to this site and all the related materials and resources for ONE FULL YEAR. That means you can re-watch sessions and ask additional questions again during that 12-month period.
“The materials, technology, organization, and topic selection are all excellent; a model of
Advantages of The Analysis Factor Approach:
• The focus is on concepts, interpretation, and application, not theory or math so you can immediately apply what you've learned
• You can review lectures, Q&As, and software demo videos until it really sinks in
• You aren't left on your own once the workshop ends - you can ask questions and review everything for a year
• You get support in 4 different statistical software, so use the one you like most or take the opportunity to learn another
• You get supplementary free videos that go in depth on related subjects to expand your learning
• You have no travel and hotel costs, so you save money. It's a great value!
• Live instruction gives you structure and support so you'll actually finish
• Student Discounts of up to 40% off so it's accessible to everyone
Your Satisfaction Is Guaranteed
As with all our programs, your satisfaction is guaranteed. If you participate fully in a workshop–watch, read, and try out everything included–and find you are not satisfied for any reason, we will give you a full refund, no questions asked. Just notify us within 90 days of purchasing the program.
Q: I haven't taken a statistics course in years. Will I be able to keep up?
As long as you have the suggested prerequisites, you should be fine. We know you don’t spend all day, every day, running regression analyses!
However, you WILL need to spend some time each week, both going over the training material and “getting your hands dirty” with some data. Expect to spend 2-3 hours per module reviewing the concepts and doing the exercises, and re-running class examples on your own.
And if you have questions during the workshop, make sure to attend the Q&A sessions and/or post on the workshop forum to clarify anything you’re not clear on.
You know how this goes: The more time you put in, the deeper your understanding.
Q: What’s your refund policy?
Your registration fee is fully refundable up to 72 hours before your first class session.
Q: Do you offer student discounts?
Yes, we do! Current students with a valid ID can register for almost 40% off the standard rate. Click here to receive our student discount on all our workshops: https://www.theanalysisfactor.com/student-discount-list/
Q: Things are very busy at work right now, and I’m afraid I won’t have time to keep up. How much time per week does this really take?
We’ve worked hard to make sure people can take a workshop in the midst of their normal work life.
We provide exercises, answers and data sets, so you can practice what you’ve learned each week and get help in the Q&As. These will take you a few hours each module, up to 2 or so. The exercises aren’t required—you’re not graded. But we’ve gotten feedback that they’re very helpful, as it allows you to practice and figure out what you did and didn’t understand.
One reminder: You have access to the workshop website, all materials, and a place to ask questions for a year. So if you get behind, you aren’t missing out. You can catch up on your schedule.
Q: I teach/work/sleep during this time and cannot attend live. Is there any way to register and access the webinar sessions later?
Q: I’m outside the U.S. Can I still participate?
Q: Can I pay with Paypal?
Q: Can I join the Q&A webinars from my tablet or phone?
Q: This really isn’t a good time for me. Will you be offering this workshop again soon?
Have additional questions? We’re here to help! Just email us at firstname.lastname@example.org.