On Demand Workshop: Interpreting (Even Tricky) Regression Coefficients
Understanding model effects got you stymied?
FRUSTRATED with trying build a model that answers your research question?
PANICKED because you added a new variable or interaction, and it changed all the other results in the model?
UNEASY about writing up regression or ANCOVA results?
Most researchers can relate!
Let’s face it: The statistics classes you’ve had thus far have probably focused on straightforward models with only continuous predictors.
But observational and experimental 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:
 Binary AND multicategory dummy variables
 Centered, rescaled, and standardized variables
 Predictors that are correlated with each other, though not quite collinear
 Variables you had to transform to meet assumptions, but now look completely meaningless
 Interactions between two continuous variables or between categorical and continuous variables
 Quadratic terms that allow you to test a curvilinear relationship with a linear model
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 ondemand tutorial that’s essential for anyone undertaking data analysis for publication or a thesis:
Interpreting (Even Tricky) Regression Coefficients
in SPSS
A 5Hour Online Tutorial
“Before the workshop, I didn’t realize how centering predictors can help decrease correlation or how to interpret an interaction between two continuous variables. As reviewers are demanding more complete and thorough analyses, these two skills will make my research more competitive.”
— Ursula S., Research Consultant
Interpreting (Even Tricky) Regression Coefficients Student
I’m Karen Grace Martin, your tutorial instructor for Interpreting (Even Tricky) Regression Coefficients in SPSS.
My goal is that by the end of the tutorial, you will 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 fivehour online tutorial, we’ll start with a review of regression models with continuous predictors. We’ll then have individual lessons on how to interpret each type of tricky coefficient. 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.
Who Is This Tutorial For?
This tutorial 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. (Many of the concepts covered in this workshop are vital in learning extensions to linear models. You’ll be able to progress to the next level much faster and easier if you have an intuitive, gutlevel understanding of these concepts.)
 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 rocksolid 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.
This is a FOUNDATIONAL tutorial essential for researchers and students
in ALL fields.
“The materials, technology, organization, and topic selection are all excellent; a model of online instruction.”
— Interpreting (Even Tricky) Regression Coefficients Student
How Does It Work?
This course is a fivehour online tutorial.
The tutorial and accompanying materials are already available for you to access on your private tutorial website. Log in at any time from any internetenabled computer, phone, or tablet… all from your own home or office.
In the tutorial videos, the instructor will present concepts and walk through the SPSS output so you see exactly what each type of coefficient means.
As a participant in the Interpreting (Even Tricky) Regression Coefficients in SPSS tutorial, you’ll have access to a participantonly website, your tutorial “hub.” That’s where you’ll access all tutorial resources and material, including:

A set of streaming training videos.
Watch (and rewatch) these videos on YOUR schedule, as many times as you like, at the speed you desire.
These videos explain the concepts and steps as well as stepbystep demonstrations in SPSS.

Supplemental PDF handouts.
You’ll have access to the presentation slides, handy checklists, and worksheets to help you set up your next power calculation. You can download, print out, and take notes as you follow along.

Data files from actual research studies.
So you can see how to deal with the challenges inherent in real data.

Exercises to practice what you’ve learned.
With answers to check your work.

A place to submit written questions.
Got a question as you’re reviewing the video recording or your notes? Just submit a question in the tutorial website. We’ll answer it right there.

Bonus videos.
To enhance your understanding of where power calculations fit into the data analysis process, we’ve included the following bonus video webinars:
— The 13 Steps to Performing Any Statistical Model (60minute video presentation)
— The First 3 Steps in Running Any Statistical Model: Define and Design (60minute video presentation)
— Dummy and Effect Coding (60minute video presentation)
— A Review of Logarithms for the Data Analyst (60minute video presentation)
You’ll have access to this site and all the related materials and resources for ONE FULL YEAR. That means you can rewatch sessions and ask additional questions any time during that 12month period.
Often, our students report they understand the material at a deeper level on a second or third pass. This stuff is not always easy. You’ll learn more every time, so take advantage of it!
“I would recommend this workshop with enthusiasm. The workshop — and the Analysis Factor in general — has been an incredibly helpful resource for me. Karen is deeply knowledgeable and experienced and she is an excellent instructor as well. Her presentation is clear and wellpaced, and her responses to questions are always enormously helpful and delivered in a friendly, unintimidating manner.”
— Sheryl Kopel
Interpreting (Even Tricky) Regression Coefficients Student
What’s Covered in the Tutorial?
The tutorial material is broken into six modules and are available immediately via the tutorial website.
Our tutorial goal is for you to understand linear regression coefficients for all types of predictor variables, so you can build more sophisticated and accurate models and generate meaningful results.
Module 1: Introduction and Review of Regression Models with Continuous Predictors
 A Review of the Simple Linear Regression Model
 A Review of the Multiple Linear Regression Model with continuous predictors
 Interpreting Regression Coefficients when Predictors are Correlated
Module 2: Scaling of Dependent and Independent Variables
 Understanding Unstandardized and Standardized Coefficients
 How and when to center predictors to improve interpretability of coefficients
 How transforming Y or X to meet assumptions affects the interpretation of Coefficients
 When centering affects the meanings of other coefficients in the model
Module 3: Multiplicative Terms for Continuous Predictor Variables
 What quadratic terms tell you about the curved relationship between X and Y
 How to break apart the linear trend from the curvature to understand both coefficients
 An introduction to interactions
 Interpreting interactions between two continuous variables
 Interpreting interactions with quadratic terms–changing the curve
Module 4: Dummy Coding Binary Predictors: Main Effects and Interactions
 The basic difference between dummy and effect coding
 How to dummy code binary predictors, what the coefficients mean, and when including dummy variables changes other coefficients
 How to interpret interactions for dummycoded predictors
 How including interactions changes coefficients of main effects (this is different from ANOVA!)
Module 5: Dummy Coding MultiCategory Predictors: Main Effects and Interactions
 How to dummy code multicategory predictors and interpret their coefficients
 How to interpret interactions for multicategory dummy predictors
 How to interpret interactions between two dummycoded variables
Module 6: Putting It All Together
Now that you understand all the pieces, 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).
Your Tutorial from The Analysis Factor Includes:
 1 year of access to the tutorial website
 All the exercises and handouts you’ll need
 SPSS syntax so you can see how all the example output was created
 The opportunity to submit questions to be answered on your tutorial website
“Karen, I would like to thank you for the wonderful job with the workshop. I got a lot from it. You are a great presenter (very understandable, given the complexity of some of the presented concepts). It is a nice push for further selfstudies when working on my projects. I will definitely will register for other ones.”
— Anna Nadirova, Educational Researcher (Edmonton, Alberta, Canada)
Interpreting (Even Tricky) Regression Coefficients Student
About Your Instructor
I’m Karen GraceMartin, your instructor for Interpreting (Even Tricky) Regression Coefficients in SPSS.
As president and founder of The Analysis Factor, I’ve been supporting researchers like you through their statistical planning, analysis, and interpretation since 1997.
With masters degrees in both applied statistics and social psychology, I’ve been honored over the past 15 years to work with everyone from undergrad honors students to Cornell professors, and from nonprofit evaluators to corporate data analysts.
After seeing so many smart people get nervous, uncertain, and downright phobic about analyzing their data, I made it my mission to remove the barrier between research and statistical analysis.
I want to banish the confusing jargon that makes eyes glaze over, and instead explain statistical terminology in plain English.
My goal is to help you improve your statistical literacy so you can bring your important research results into the light with confidence.
“Karen GraceMartin… has a gift for explaining and teaching applied statistics. I really appreciate her patient, pleasant, downtoearth manner. My previous statistics professors were knowledgeable, but unengaging, and not easy to understand. I wish I would have had a teacher like Karen in my grad program.”
— Interpreting (Even Tricky) Regression Coefficients Student
Prerequisites
So what kind of background in statistics do you need?
Our tutorials and workshops are for researchers, not statisticians.
That being said, you’ll get the most from this tutorial if you have a MINIMUM of at least two statistics classes—an intro class, and a class that contains multiple regression or Analysis of Variance (ANOVA).
If you are a “beginner,” you may have trouble keeping up. However, if you’ve had one statistics class, but are working on regression and are confused, this tutorial will be helpful.
An additional word about software packages:
You should be familiar with SPSS. If you prefer another program you can still benefit, since really, the emphasis here is on what the output means. As long as you can replicate the results in exercises, it doesn’t really matter which software program you use. I know SAS well and I have used, but am less familiar with JMP, Stata, and R, and I will answer questions about them if I can.
If you have questions about whether you’re ready for this tutorial, just email us. We’ll give you our honest opinion. We want you to succeed!
“…The amount, clarity and quality of the information is excellent. It does what it says, helps you to interpret and understand all those numbers you get from your statistical software.”
— Raul, Interpreting (Even Tricky) Regression Coefficients Student
Your Satisfaction Is Guaranteed
As with all our programs, your satisfaction is guaranteed. If you participate fully in this tutorial – 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.
FAQs
Q: Will I be able to keep up with the tutorial material?
If you meet the prerequisites listed above, you’ll be prepared to understand the tutorial materials.
Each module includes about an hour of instructional videos, plus exercises and supplemental materials. We also suggest aside some time (23 hours) to rerun class examples attempt the exercises on your own, and watch the bonus videos.
Remember — you also have 12 months to revisit the material! It’s completely on YOUR schedule.
You know how this goes: The more time you put in, the deeper your understanding.
Q: Things are very busy at work right now, and I’m afraid I won’t have time to keep up. How much time will this really take?
We’ve worked really hard to make sure people can keep up with the tutorial in the midst of their normal work life. And with ondemand access, you’re all set to deal with unexpected deadlines or “life” emergencies.
The core videos total approximately 5.5 hours. If you have a crazy hectic month ahead, you can fit watching the materials into your schedule. You can also submit your questions in writing through the tutorial website.
One reminder: You have access to the tutorial 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/live outside the U.S and cannot attend at specific times. Is there any way to register and access these sessions later?
Yes! That’s the beauty of our ondemand tutorials. We have participants from many time zones with many different work schedules. In order to support our diverse student base, all tutorial sessions are prerecorded and available immediately. You can also download and keep these videos forever, so if you need to refresh your memory at any point in the future, all the material is yours to review.
Q: I’m outside the U.S. Can I still participate?
Yes. We have participants in our tutorials and workshops from many different countries.
Q: Can I pay with PayPal?
Yes. When you check out, you can pay directly using our system or paying with PayPal.
Q: This really isn’t a good time for me. Will you be offering this tutorial again soon?
This tutorial (and several others!) is available yearround. You can sign up now and get access to all the course materials (trainings, support, exercises, the option to ask questions, and any additional bonuses). You’ll get all the materials to download and review at your convenience, and you can access them for free any time in the next 12 months.
Plus, ongoing support is included through access to the tutorial website for a full year.
Q: What software do you support for this class?
You do NOT need prior experience with any specific statistical software. During the tutorial, we will be using SPSS.
Have additional questions? We’re here to help! Just email us at support@analysisfactor.com.
“Karen is a fantastically knowledgeable and patient person. There are no wrong or stupid questions when working with her, and everyone is encouraged to participate. As well, really helpful for me was the option to go through all the materials at the time that worked best for me and to access and go through the same materials over and over again if needed… Fantastic workshop! Thanks, Karen!”
— Interpreting (Even Tricky) Regression Coefficients Student