Introduction to Data Analysis with SPSS


Looking for “SPSS for Beginners”?


OVERWHELMED trying to implement statistics in SPSS?

LOST when trying to analyze data?

WANT a starting point for statistical analysis?

This on-demand tutorial is for you!


Introduction to Data Analysis
with SPSS

A 7-Hour Online Tutorial




“You made the whole venture less intimidating. The homework exercises were really good… Being able to go over the recording a few times is also great.”

— Kandis Natoli, Introduction to Data Analysis with SPSS Student



Karen Grace-MartinI’m Karen Grace Martin, your tutorial instructor for Introduction to Data Analysis with SPSS.

My goal is that by the end of the tutorial, students will have a strong foundation for doing statistical analysis with SPSS, including working with data sets, defining and recoding variables, and running univariate and bivariate statistics and graphs.

In this seven-hour online tutorial, we’ll provide a great introduction for anyone learning statistics in SPSS for the first time, or for SPSS users who have relied upon menus but want to learn the syntax.




Who Is This Tutorial For?


This tutorial is for you if:

  • You’re new to statistics and you now need to implement them in SPSS.
  • You’re working on your first research project.
  • You’re familiar with another statistical software package, but want to learn SPSS.
  • You’ve never used anything other than Excel and want to learn SPSS.
  • You’ve used SPSS before, but are struggling through it. (Maybe you were self-taught and could use an overview, or maybe you haven’t had to use statistics in a while and would now love a refresher.)
  • You’re pretty familiar with SPSS windows, but would like to learn syntax.




How Does It Work?


This course is a 7-hour 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 internet-enabled computer, phone, or tablet… all from your own home or office.

In the tutorial videos, the instructor will present concepts and demonstrate how to execute those processes in SPSS.



As a participant in the Introduction to Data Analysis with SPSS tutorial, you’ll have access to a participant-only website, your tutorial “hub.” That’s where you’ll access all tutorial resources and material, including:

  • A set of streaming training videos.

    Watch (and re-watch) 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 step-by-step 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.

  • 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:

Getting Started with SPSS Syntax (60-minute video presentation)
The 13 Steps to Performing Any Statistical Model (60-minute video presentation)
The First 3 Steps in Running Any Statistical Model: Define and Design (60-minute video presentation)

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 any time during that 12-month 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!





What’s Covered in the Tutorial?


Our tutorial goal is for you to learn how to work with data sets, how to define and recode variables, and how to run univariate and bivariate statistics and graphs.

In the tutorial, we’ll cover:

Working with Data in the SPSS Environment

  • Research Questions, Designs, Variables, and Units of Observation
  • An Overview of the SPSS environment: windows, syntax rules, and output
  • Opening & Importing Data Sets
  • Saving and Subsetting Data; Keep, Drop, and Rename Variables
  • Entering Data
  • Defining Variables: Variable Types, Levels of Measurement, Missing Values
  • Defining Variable and Value Labels

Univariate Descriptives

  • Exploring distributions with measures of central tendency and spread
  • Exploring distributions of categorical variables with frequency tables

Univariate Graphs

  • Using Legacy Dialogs to Create Graphs
  • Histograms and Box Plots for numerical values
  • Bar Charts
  • Using the Chart Editor to customize graphs

Manipulating and Refining Data

  • Sorting, Selecting, and Splitting Data
  • Working with String Variables: Recode and Substrings
  • Working with Numerical Variables: Compute, Recode, and Count functions
  • Merging and Aggregating Data
  • Checking data manipulations: Case Summaries, Frequencies, and Crosstabs

Bivariate Statistics

  • Cross-tabulations, chi-square tests, exact tests, and McNemar tests for two categorical variables
  • Correlations and simple linear regression for two continuous variables
  • Comparing Group Means with Two-sample t-tests, paired-t tests, and one-way ANOVA
  • Comparing distributions with nonparametric tests: Wilcoxan Rank Sum, Wilcoxan Sign
  • Rank, Mann-Whitney U, and Friedman’s tests

Bivariate Graphs

  • Grouped Bar Charts
  • Line Graphs
  • Scatter plots

Don’t let the amount of information intimidate you.

We’ll go step-by-step, showing everything in menus and syntax. Remember, we WANT you to understand and master this content!



Full Tutorial Investment: $197





“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.”

— Jason Hurwitz, PhD
Assistant Research Scientist, University of Arizona
Introduction to Data Analysis with SPSS Student


Your Tutorial from The Analysis Factor Includes:

  • 1 year of access to the tutorial website
  • All the exercises and handouts you’ll need
  • The opportunity to submit questions to be answered on your tutorial website



“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.”

— Joanne Basta, Manager, Research & Evaluation Unit
Pima County Juvenile Court Center
Introduction to Data Analysis with SPSS Student



About Your Instructor


I’m Karen Grace-Martin, your instructor.

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 non-profit 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 “stats speak” 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.




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 one statistics class, or have attempted to learn statistics on your own.

An additional word about software packages:

You do NOT need prior experience with SPSS. We’re starting at the beginning.

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!



“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)
Introduction to Data Analysis with SPSS 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.




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 two hours of instructional videos, plus exercises and supplemental materials. We also suggest aside some time (2-3 hours) to re-run 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 on-demand access, you’re all set to deal with unexpected deadlines or “life” emergencies.

The core videos total approximately 7 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 on-demand 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 pre-recorded 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 year-round. 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