Workshop Enrollment: Linear Models: Increasing Your Statistical Confidence

An 8-Module Online, Interactive Workshop

Starts on Thursday, January 16, 2020

Most of the statistical analyses you need to do as a researcher are most likely linear regressions or ANOVAs. Or some extension of them.

But…

How well do you really understand linear models?

Chances are, the training you’ve received was incomplete, out of context, or so long ago that there are more than a few holes in your comprehension.

That means when your REAL data doesn’t fit a model perfectly, you’re often confused, stuck, and frustrated.

By developing an intuitive understanding of linear models, though, you can deal with imperfect data, as well as gain the basics you need to move on to other concepts, like logistic regression, mediation, structural equation modeling, and mixed models.

It’s time to fill in the gaps and master linear models.

I’m Jeff Meyer, workshop instructor.

This is a great workshop to learn the power of SEM in a supportive, hands-on environment.

This is a great workshop to learn coding language and become more familiar with different statistical software.

My goal is that by the end of the workshop, you’ll develop a linear model that extracts the most information possible from your data and the confidence to read, comprehend and explain the results. You will also understand how well your model fits the data and answers your research question.

Jeff MeyerJeff Meyer MBA, MPA

In this eight-module live, online workshop, we’ll cover:

  • Starting with the Basics: Terminology, Correlations, Bivariate Linear Regression
  • Regression Models with Multiple Predictors
  • ANOVA and ANCOVA (including interactions)
  • How to Extend and Refine the Models
  • And more!

Who Is This Workshop For?

This workshop is suitable for graduate students and research professionals in fields that use statistics.

This workshop is for you if you:

  • Need a refresher on linear modeling
  • Feel like you’re missing the knowledge to proceed in key areas of linear models, like checking assumptions; building a model with interactions, categorical variables, or quadratic terms; or interpreting your linear model output
  • Missed some of the fundamentals of linear modeling, and now you’re getting stuck as you try to use logistic regressions, repeated measures, or other advanced analyses
  • Never really "got" linear models, but were able to hack your way through

It is NOT for you if you:

  • Already run and thoroughly understand linear models or are using more advanced models with confidence
  • Are looking for a theoretical matrix-algebra or calculus-based course on statistical theory where you derive linear models
  • Don’t understand basic statistical concepts like correlations, p-values, and hypothesis tests

“Overall it was very useful for getting a more in depth understanding of linear regression. Jeff is very clear and I appreciate his willingness to explain and be helpful.”

— Previous workshop participant —

How Does It Work?

This course is an 8-module live, interactive online workshop.

All lessons are conducted online via live webinar. 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.

Have more questions? No problem!

In addition to the four lessons, you’ll also meet with your instructor for six additional Q&A sessions where you can get additional assistance on workshop concepts, deepen your knowledge, and clarify any questions.

All 8 Workshop Sessions and 8 Q&A Sessions Are Recorded for Your Convenience.

Where Do I Access Recordings and Material?

For each of the four modules, you will have a set of training resources and material.

As a participant of the Linear Models workshop, you can access these for 12 months in our participant-only website.

Data Sets
Real research data sets in SPSS, SAS, Stata, and csv formats.

Exercises + Solutions
Try out what you’ve learned in each module to cement the material. Never get stuck with provided syntax and interpretations.

Syntax and Demo Videos
Step-by-step videos for SPSS, SAS, Stata, and R. Available to download so you can save and edit them for your own analysis.

Forum Access
Ask your instructor about workshop content or how to apply it to your own data analysis.

Handouts
Session slides and supplementary material to support your learning.

Q&A Recordings
Can’t make a live Q&A? Submit questions ahead of time and get answers from the recording.

Session Recordings
Made available within 48 hours so you can review material at your preferred schedule.

Suggested Resources
External videos, articles, or exercises that we recommend to support your learning.

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.

Often, our students report they understand the material at a deeper level on a second or third pass. You’ll learn more every time, so take advantage of it!

“The combination of the videos of SPSS exercises, syntax files, excellent lecture notes, and exercise answers made individualized learning a whole lot easier. The lectures were also very easy to understand.”

— Carrie Petrucci, previous workshop participant —

What’s Covered in the Workshop?

Module 1: Getting Under the Hood of Single Predictor Models

We specifically will cover:

  • Discussion on basic terminology
  • Correlations
  • Bivariate linear regression

Module 2: Continuous Predictors

  • Preliminary Data Screening
  • Multivariable Linear Regression
  • Marginal Means

Module 3: Categorical and Continuous Predictors

  • Multivariable linear regression
  • Marginal Means

Module 4: T-test, ANOVA, ANCOVA

  • T-test
  • Analysis of Variance (ANOVA)
  • Analysis of Covariance (ANCOVA)
  • Marginal Means
  • Homogeneity of Variance

Module 5: Extending, Refining and Interpreting the Model

  • Interactions in Depth
  • Centering & Standardized Coefficients
  • Quadratic and Cubed Variables
  • Suppression
  • Partial and Semi-partial Correlation, Effect Size

Module 6: Diagnostics

  • What are the assumptions?
  • Data issues: What are they?
  • Residuals
  • Observations
  • Model
  • Different Types of Variance Estimators

Module 7: Model Building

  • Segmented regression
  • Standardized coefficient
  • When OLS Regression Model is Not Appropriate

Module 8: Piecing It All Together

  • Running an Analysis

Dates and Times

There are six workshop modules, each with a lesson and a Q&A session (plus supporting materials).

We will meet on Tuesdays at 3pm, US Eastern. The workshop sessions are approximately 2 hours long, including time for questions.

Workshop Orientation (Optional):

Tuesday, January 21, 2020 12pm – 1pm (GMT-5)

Live Workshop Dates: Wednesdays from 12pm – 1pm (GMT-5)

Module 1 – January 22

Module 2 – January 29

Module 3 – February 5

Module 4 – February 12

BREAK WEEK

Module 5 – February 26

Module 6 – March 4

Module 7 – March 11

Module 8 – March 18

Q&A Session Dates: Tuesays from 12pm – 1pm (GMT-5)

Module 1 – January 28

Module 2 – February 4

Module 3 – February 11

BREAK WEEK

Module 4 – February 25

Module 5 – March 3

Module 6 – March 10

Module 7 – March 17

BREAK WEEK

Module 8 – March 31

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.



Sorry, enrollment for this workshop has closed.

Please contact us if you have any questions
or get on the waiting list to be notified when it's offered again.


About Your Instructor

Hi, I’m Jeff Meyer, your workshop instructor and professional statistical consultant.

I have taught this workshop in the past and have watched students grow in confidence and master count models.

My interests are wide-ranging. I work with linear, binomial, count, and mixed models. In addition my work can entail running exploratory and confirmatory models, Structural Equation Models (SEM), latent class analysis, and multiple imputation models for missing data. ​​​​​​​

I understand that to be an effective instructor, it takes more than subject matter knowledge and a logical approach to analyzing data. I truly enjoy working with people, and I care about your success!

Jeff MeyerJeff Meyer MBA, MPA

“Jeff is very patient and he’s a good teacher – he asks questions and waits for us to respond before moving forward. His tone is non-judgmental, and he explains material well.”

— Heidi, Previous workshop participant —

Prerequisites

So what kind of background in statistics do you need?

This course starts out at a basic level. No, you don’t need a PhD in statistics… we know you’re a researcher, not a statistician.

We’re assuming you understand:

  • Statistical tests
  • Basic graphing
  • How to work with data and variables in any stat program

As long as you have at least a statistics course or two under your belt, you should be ready to tackle "Linear Models".

If you have questions about whether you’re ready, just email us. We’ll give you our honest opinion. We want you to succeed!

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.

FAQs

Q: I haven’t taken a statistics course in years. Will I be able to keep up?

A: As long as you have the suggested prerequisites (a strong understanding of linear regression), you should be fine.

However, you WILL need to spend some time each week, both going over the material and also “getting your hands dirty” with some data. Expect to spend 4-5 hours per week reviewing the material 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 Center 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?

A: Your registration fee is fully refundable up to 72 hours before your first class session. No refunds will be granted after the program begins.

Q: Do you offer student discounts?

A: Yes, we do! Current students with a valid ID can register for up to 20% off the standard rate. Click here to receive our student discount on all our workshops: 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?

A: We’ve worked hard to make sure people can take a workshop in the midst of their normal work life. For longer workshops, we build in a week off halfway through the course.

Each workshop webinar session is about 2 hours, whether you attend live or listen to the recording.

Each week, we have a one-hour Q&A session. You don’t have to attend, we just make those available so you can have any questions answered or listen in on others’ questions.

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 week, maybe up to 3 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.

In other words, each week, there are approximately 2 hours of instruction, one hour of Q&A, and about 2-3 hours of practice time. So if you have a crazy hectic week during the workshop, you have catch up time. But If you have a crazy hectic month, you may be better off waiting as you won’t really have a chance to catch up.

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?

A: Yes! We have participants from many time zones with many different work schedules. In order to support our diverse student base, all material – including the workshop sessions and Q&As — are recorded and made available to students within 48 hours. They’re screenshot video files, so you’ll hear the instructor talking and see his screen, just as live participants do. You can even submit questions for written answers any time between sessions. Many students take the entire workshop in this manner, never attending a session live.

You can also download and keep these videos forever, so if you need to refresh your memory at any point in the future, it’s yours to review.

Q: I’m outside the U.S. Can I still participate?

A: Yes. We have participants in our workshops from many different countries. You will want a fast internet connection and either a computer speaker or a telephone if you plan to attend live.

Q: Can I pay with Paypal?

A: Yes. When you check out, you can pay directly using our system or paying with Paypal. However, the three-payment option is not available using PayPal.

Q: Can I join the Q&A webinars from my tablet or phone?

A: Yes. You can join all webinar sessions from your Apple or Android device by downloading a free GoToMeeting app.

Q: This really isn’t a good time for me. Will you be offering this workshop again soon?

A: We don’t have a set schedule for running each workshop. We try to schedule each workshop every 12-18 months, though very popular workshops may be offered more often. We are sometimes unable to re-run a workshop if the instructor becomes unavailable so there are no guarantees that any workshop will be run again.

If you think you’ll need the material in the next half-year or so, I would suggest registering now. You’ll get all the materials to download and review at your convenience, and you can attend again for free any time in the next 12 months.

Have additional questions? We’re here to help! Just email us at support@theanalysisfactor.com.