Do multivariate situations have you stymied?
• How do we measure engagement for employees in a particular business unit?
• How do we measure how desirable a certain geographic area is to live in?
• How do we measure anxiety levels in military personnel after returning from deployment?
And when you’re dealing with multivariate situations, you’re in for a unique challenge.
But these techniques require many decisions:
• How many subscales are you really seeing?
• How many variables are on each subscale? Which go to which?
Ready to gain confidence in variable reduction?
Learn how in our upcoming workshop: Principal Component and Factor Analysis.
A 4-module online, live interactive workshop starting Tuesday, July 17, 2018.
By the end of this workshop, my goal is for you to understand principal component analysis and factor analysis and all their concepts, steps, and decisions so you can apply them with confidence in your research.
The steps and decisions you need to make in PCA and EFA and how to make solid, confident choices about factors to retain, interpretation of loadings, rotation methods, and more.
This workshop is for you if you:
-- Need to implement exploratory factor analysis and/or confirmatory factor analysis, and want to ensure you’re conducting and interpreting your analysis well.
-- Have conducted principal component analysis models in the past with help, and are confused by all the conflicting information you’ve encountered regarding the differences with principal axis factoring analysis. Now, you’d like to understand it once and for all.
-- Are preparing to defend your dissertation and want to thoroughly understand your PCA, EFA, or CFA so you can answer the questions.
It is NOT for you if you:
-- Are doing research where each variable is directly measured, and/or your variables are independent.
-- Rarely encounter multivariate situations where many variables might be highly correlated.
-- Already run and thoroughly understand principal component analysis and factor analysis, including both exploratory factor analysis and confirmatory factor analysis.
How Does It Work?
This course is a 4-module live, interactive online workshop from July 17 to August 20, 2018.
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.
Have more questions? No problem!
In addition to the four webinar 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 4 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.
• Model Fit Statistics in Structural Equation Modeling
• Latent Class Analysis
• Matrix Algebra for Data Analysts: A Primer
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.
What's Covered in the Workshop?
Module 1: Principal Component Analysis
· The difference between Principal Component and Exploratory Factor Analysis and when to use each
· Preparing data
· Initial Extraction of Components, Eigenvalues, Communalities, and Variance explained
· Scree Plots, Loadings, Parallel Analysis for choosing the number of components to retain
· Rotation of components and the differences among rotation techniques
· How to interpret all that output
· Reporting Output
Module 2: Exploratory Factor Analysis
· How EFA differs from PCA theoretically and practically and why it’s important
· Factor Scores and Factor-Based Scores
· More methods of initial extraction
· Sample Size and Reverse Coding
· EFA on ordinal and categorical variables
· Tricky data situations: non-normal data, missing data, likert scale data
· Reporting Results
Module 3: Assessing Scale Reliability and Validity
· Scale Reliability
· Calculating Cronbach’s alpha
· Reporting Reliability
· The relationship between reliability and validity
· Discriminant Validity
· Discriminant and Convergent Validity
Module 4: Confirmatory Factor Analysis
· Exploratory versus Confirmatory Factor Analysis
· Hypothesizing a CFA model
· Testing a Hypothesized CFA model
· Estimating the model:
-- Statistical assumptions
-- Estimating model
-- Evaluating model fit
-- Post-Hoc Model Fitting
-- Interpreting Estimates
· Reporting Results
There are four workshop modules, each with a webinar session and a Q&A session.
Workshop orientation (Optional):
Monday, July 16, 2018 from 3pm - 4pm (EST)
Live Workshop Dates: Tuesdays from 3pm - 5pm EST
Module 1 – July 17
Module 2 – July 24
Module 3 – July 31
Module 4 – August 7
Module 1 – July 23
Module 2 – July 30
Module 3 – August 6
------ Break Week ------
Module 4 – August 20
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.
Hi, I’m Christos Giannoulis, Ph.D., your workshop instructor.
With more than fourteen years of experience as a data scientist, I have extensive experience with advanced exploratory, predictive, and prescriptive analyses using a combination of graphical user interface software (e.g., SPSS modeler, Jmp, Statistica, and Stata) as well as programming languages (e.g., R and Python) on desktop and cloud environments.
So what kind of background in statistics do you need?
We’re assuming you have solid experience in linear regression and correlation.
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 (solid experience in linear regression and correlation), 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 modules, and also “getting your hands dirty” with some data. Expect to spend 2-3 hours per week 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 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?
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?
Yes, we do! Current students with a valid ID can register for up to 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?
Each workshop webinar session is 1.5 to 2 hours, whether you attend live or listen to the recording.
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.
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?
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?
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 email@example.com.