Principal Component Analysis and Exploratory Factor Analysis with SPSS (Early Enrollment)

Online Workshop: Principal Component Analysis and

Exploratory Factor Analysis with SPSS – Early Enrollment

 

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You’d like to create an index from a group of related variables.  At least you think they’re related — they ought to be.

But what’s the best way to combine them? Add them together?  Take the mean?  Which ones go together anyway?

Principal component analysis and exploratory factor analysis are both data reduction techniques — techniques to combine a group of correlated variables into fewer variables. You can then use those combination variables — indices or subscales — in other analyses.

But they have important theoretical differences and are used in different research contexts.  There are a number of steps to go through — each with many decisions — to come up with a reasonable way to combine those variables.

There is a lot of new vocabulary involved, but once you learn the concepts and the logic, both PCA and EFA are very straightforward.

This workshop will give you the strong foundation you need to conduct Principal Component and Exploratory Factor Analysis with SPSS. You will learn what each technique does, the considerations to be made, and the steps to conduct it within SPSS.

Everything is shown in both menus and syntax. This is a good introduction for anyone learning statistics in SPSS for the first time or for SPSS users who are comfortable with menus who want to learn the syntax.

In the Workshop, you will learn:

Principal Component Analysis

  • The difference between Principal Component and Exploratory Factor Analysis and when to use each
  • Preparing data
  • The steps in SPSS
  • 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

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

Assessing Scale Reliability

  • Scale Reliability
  • Calculating Cronbach’s alpha

This workshop is for you if you:

  • Have a good foundation in doing basic data analysis and have used SPSS before.  You should have a good understanding of correlations and working with data.
  • Need to do any scale development or work with large, many-variable data sets

It is not for you if you:

  • Have never used SPSS or done data analysis before.
  • Have no time to do the exercises and practice what you’ve learned.

The workshop is offered as a Webinar live online workshop + Membership Site

I will be conducting the workshop live via webinar. You attend online and listen and speak either by phone or over the internet as you see what is happening on my computer screen. Webinars are highly interactive–you can see exactly what I’m doing in SPSS and ask questions during the session, yet you never have to leave your house or office.

We’ve also created a workshop site that you become a member of. For a year.

The site is our home-base for the workshop. It’s where you’ll find everything you need to support your learning of each module:

  • SPSS data files. These are real, true, not-textbook-perfect data files from real research projects I’ve worked on with clients, who have graciously allowed me to share them with you. You get full access to use the data to try everything I demostrate in the workshop and try things on your own.
  • SPSS syntax code to run and explore all of the examples yourself. You won’t learn it unless you try it. So I’m giving you my syntax so you can see exactly how I got all the output I’m showing you.
  • PDF handouts of the presentation slides, which will be available ahead of each session, on which you can take notes.
  • Video Screenshot recordings of each workshop session made available within 48 hours. So you can review the material right away, a year later, or while doing the exercises. Or if you need to miss one (or all!) of the live sessions, you can still participate on your own schedule.
  • Exercises.  (Yes, homework!).  You really need to practice this stuff. Get your hands dirty. So we’re giving you the data to try it on your own with new models to try out. But don’t worry–you won’t be on your own stuck on some coding error that won’t work. I’m also giving you the syntax I used to do the exercises and the answers.
  • A place to submit written questions between sessions. So as you’re reviewing videos afterward (or if you missed a live session), just submit a question. I’ll answer it there if I can, or if it’s something I need to show you, I’ll answer it in the next session.
  • Video Recordings of all Q&A sessions. So if you have to miss one, just submit your questions ahead of time and I’ll answer in the Q&A. Just watch it later.
  • A list of helpful resources and suggestions for further reading. I’m not requiring a text book. But there are definitely some good books and articles out there on this topic, and you will learn the techniques better with some background reading. I’m selecting the chapters from each book that best explains each topic, and I’ll make the list available when you first register, so you have time to interlibrary loan them.
  • Bonus videos. I’ve included a few videos from some webinars on relevant topics to help jog your memory or clear up misunderstandings. Included are:
    • Getting Started with SPSS Syntax
    • The First 3 Steps to Running Any Statistical Model

You’ll have access for a year to this workshop membership site. So as we add resources, re-record sessions, and answer more questions each time we offer the workshop, you have access to the updated material.

The Instructor:

Karen Grace-Martin is the workshop instructor.  Karen helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.

She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor.  She has masters degrees in both applied statistics and social psychology and is an expert in SPSS.

 

Comments from past participants in our workshops:

“This workshop provided a user-friendly introduction/review that has significantly honed my statistical skills. The most helpful aspect was interactivity — the opportunity to ask specific questions relevant to my own research. I also greatly appreciated the scheduled Q&A sessions.”

– Kathleen Miller

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“I thought Karen was a brilliant presenter. She spoke very clearly at a very good pace and explained things very clearly.”

– Philip O’Sullivan
Senior Policy Advisor, Insurance Council of Australia

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“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!”

– Danijela Gasevic
Simon Fraser University

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“The most helpful feature of the workshop is simply Karen’s command of the topic and her skill in communicating and teaching the material. The illustration and practice of concepts through SPSS is also very helpful. The materials, technology, organization, and topic selection are all excellent; a model of online instruction.

I specifically appreciated the opportunity for the live Q&A, although wasn’t always able to take advantage of it. For that reason, the recordings were also very helpful. Finally, though this may sound trivial, I appreciated the explicit course outline that was advertised. It helped me to better understand what content the course specifically covered, the time commitment, and address other concerns (e.g., pre-requisite knowledge, organizational format).”

– Jason Hurwitz, PhD
Assistant Research Scientist, University of Arizona

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“Karen Grace Martin… has a gift for explaining and teaching applied statistics. I really appreciate her patient, pleasant, down-to-earth manner. My previous statistics professors were knowledgeable, but un-engaging, and not easy to understand. I wish I would have had a teacher like Karen in my grad program… The Q&A’s were also helpful because you could hear real-life examples others were working on, from different angles. Helps to reinforce the concepts.”

– J. Basta, PhD
Program Evaluation & Research Consultant

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“While my day job and PhD is in learning theory and teacher education, I also teach doctoral research methods and statistics each term.   For teachers, a singular quality of excellence is being able to make powerful disciplinary ideas available to the sense making of students (in this case, me).  [Karen’s] teaching is so exceedingly well put together that I leave every one of her sessions feeling a lot smarter than I entered the course.  If you have a chance to participate in Karen’s teaching, do treat yourself!”

– Daniel R. Lofald, PhD
Associate Professor
University of St. Augustine for Health Sciences
St Augustine, Florida

The Details:

The Workshop Webinar Sessions will meet 3 times, on Thursdays at 3pm Eastern (GMT-4). he workshop sessions are approximately 1.5-2 hours long, though we may go over a bit for questions.

  • Module 1 – December 4 @ 3pm EST (GMT -5)
  • Module 2 – December 11 @ 3pm EST (GMT -5)
  • Module 3 – December 18 @ 3pm EST (GMT -5)

We will also meet for three Q&A sessions throughout this time, on the following dates and times.

  • Q&A 1 – Wednesday, December 10 @ 12pm EST (GMT -5)
  • Q&A 2 – Wednesday, December 17 @ 12pm EST (GMT -5)
  • Q&A 3 – Tuesday, December 23 @ 3pm EST (GMT -5)

Full Workshop Price: $197

(student discount available)

Sorry, this workshop is full, and registration has closed.

To get first notice when it opens again, please join our Advance Discount List. Check out some of our other online workshops too!

Refund Policy: Your investment is fully refundable up to 72 hours in advance. Because enrollment is limited, no refunds will be granted after the program begins.

Guarantee

As with all our programs, your satisfaction is guaranteed. If you participate fully in this 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.