"I'll never be able to do analysis on my own"

If that sounds like you, then this course was made for you!

Whether you already made it through a statistics course, or are currently struggling not to fall asleep at a statistics lecture, you might be thinking that statistics just isn't something you will ever be able to do without the help of a statistician.

Pass an exam? Click the right buttons? Sure. But truly understand what is going on so that you could work independently with real data? Forget about it!

The problem is that statistics courses usually focus on memorizing the many different statistical tests, and the mathematics that lie behind them. Such courses are great for people, who care more about what is going on at a mathematical level than the implications for behaviour, but rarely great for those in the behavioural and social sciences.

Instead, courses should be focusing on the frameworks and underlying principles that govern all the tests. After all, how can anyone be expected to be independent, if they don't understand what is going on beneath the surface?

I've built this course to do exactly that: It takes all the tests needed to do independent analysis as a behavioural or social scientists, and shows the underlying principles that connect them.

That way, you will be able to it all on your own (without memorizing all the tests and formulas).

Hi, I'm Emil!

I will be your instructor for this course

I'm a research psychologist by training, and have taught more than 200 psychology students and psychologists at universities and private companies alike. I have co-authored peer-reviewed articles on memory, attention and decision-making, and defended my Ph.D. in applied psychology in 2019. After that, I've worked as a consultant, doing user research and other fun projects.

I've collected everything you need to do independent analysis of behaviour data, based on a decade of teaching and doing statistics.

You will get the frameworks that helped me truly understand statistics, and step-by-step SPSS guides that you can return to again and again throughout your career.

  • 1

    Introduction & Fundamentals

  • 2

    Introduction to SPSS

    • Downloading and Installing SPSS

    • Importing Datasets

    • Navigating the SPSS environment
  • 3

    Choosing the Correct Test

    • Identifying The Different Data Types

    • The Test-Choosing Flowchart

    • How To Use the Test-Choosing Flowchart

    • Test-Choosing Exercise
  • 4

    Dealing with Real-World Data

    • Quick Note for This Chapter

    • Dealing with Outliers

    • Dealing with Outliers: SPSS Tutorial

    • Dealing with Skewed Data

    • Dealing with Skewed Data: SPSS Tutorial
  • 5

    Comparing Two Groups: T-Tests

    • T-Tests: General Introduction

    • T-Tests: General Assumptions Introduction

    • One-sample T-test: What is it used for?

    • One-sample T-test: SPSS Tutorial

    • One-Sample T-test: Exercises

    • Independent Samples T-test: What is it used for?

    • Independent Samples T-test: SPSS Tutorial

    • Independent Samples T-Test: Exercises

    • Paired Samples T-Test: What is it used for?

    • Paired Samples T-Test: SPSS Tutorial

    • Paired Samples T-Test: Exercises
  • 6

    Comparing 3+ Groups on One Variable: One-Factor ANOVAs

    • ANOVA: General Introduction

    • ANOVA: Assumptions

    • Why do ANOVA?

    • One-way ANOVA: What is it used for?

    • One-way ANOVA: SPSS tutorial

    • One-Way ANOVA: Exercises

    • Repeated Measures ANOVA: What is it used for?

    • Repeated Measures ANOVA: SPSS Tutorial

    • Repeated Measures ANOVA: Exercises
  • 7

    Comparing 4+ Groups on Two Variables: Two-Factor ANOVAs

    • Two-Factor ANOVA: General Introduction and Main Effects

    • Two-Factor ANOVA: The Interaction Effect

    • Independent Samples Two-Factor ANOVA: What is it used for?

    • Independent Samples Two-Factor ANOVA: SPSS tutorial

    • Independent Samples Two-Factor ANOVA: Exercises

    • Paired Samples Two-Factor ANOVA: What is it used for?

    • Paired Samples Two-Factor ANOVA: SPSS tutorial

    • Paired Samples Two-Factor ANOVA: Exercises

    • Mixed Models ANOVA: What is it used for?

    • Mixed Models ANOVA: SPSS Tutorial

    • Mixed Models ANOVA: Exercises
  • 8

    Comparing Two Linear Variables: Correlation

    • Correlation: What is it used for?

    • Correlation: Assumptions

    • Correlation: SPSS Tutorial

    • Correlation: Exercises
  • 9

    Comparing 2+ Linear Variables: Regression

    • Regression: General Introduction

    • Regression: Assumptions

    • One Independent Variable Regression: What is it used for?

    • One Independent Variable Regression: SPSS Tutorial

    • One Independent Variable Regression: Exercises

    • Two+ Independent Variables Regression: What is it used for? And correcting for variables

    • Two+ Independent Variables Regression: SPSS Tutorial

    • Two+ Independent Variables Regression: Exercises
  • 10

    Comparing Frequencies: Chi-Square

    • Chi-Square: General Introduction

    • Chi-Square: Assumptions

    • Goodness of Fit Chi-Square: What is it used for?

    • Goodness of Fit Chi-Square: SPSS Tutorial

    • Goodness of Fit Chi-Square: Exercises

    • Contigency Table Chi-Square: What is it used for?

    • Contingency Table Chi-Square: SPSS Tutorial

    • Contingency Table Chi-Square: Exercises

What will you get?

  • 4+ Hours of On-Demand Video

    The course contains a ton of step-by-step HD video lessons, as well as exercises and downloadable resources that to help you learn.

  • Exercises and Training Datasets

    Learn by doing with downloadable datasets for every test type. Practising the tests ensures that you will be ready to dive into your own data right away.

  • Access to a community

    Ask questions in our forums and get answers directly from the instructor. The course is constantly evolving based on your feedback!

  • Life-Time Access

    All lectures are on-demand and yours for life. Learn at your own pace and come back anytime to refresh your memory with the easy step-by-step structure.

  • Happiness Guaranteed

    The course has a 30 Day Money-Back Guarantee. That's enough to try the entire course! If you went through it all and didn't LOVE it, we will refund you.

Statistics for Behavioural Science is OPEN

Join today and try the entire course risk-free with our 30-day moneyback guarantee.

What others have said

“Really great structure and easy to follow. After several totally overwhelming statistics courses at uni, this course helped me to actually understand what is going on, what I’m supposed to do and why I’m making specific choices. This makes me much more confident in using (and reading!) statistics in my research”

Verena, researcher in project decision-making

FAQ

  • Do I need experience with data analysis?

    No, this course is designed in a way that complete beginners can join.

  • What will I need to do the course?

    You will need IBM SPSS Statistics to get the most of the course. However, there's a free 30-day trial for SPSS available for IBM's website, which is enough to complete the course. The course includes instructions in downloading and installing the software needed. I also recommend having a copy of MS Excel or a similar spreadsheet program available.

  • What if I have a busy schedule?

    The course is self-paced and you have access for life, so you can return to it whenever you want, and fit it in your schedule the way that suits you best!

  • I'm not a behavioural scientist, should I join?

    This course is for behavioural scientists, and anyone interested in doing independent data analysis on behaviour data. If that's you, then this course is for you. If you are mostly interested in the mathematics behind statistics, though, I recommend checking Coursera or a similar STEM focused course site.

  • I don't like math

    Well, that's not a question! But don't worry: Doing statistics doesn't require mathematics now that we have software like SPSS. Therefore, the course is designed to focus on analysing behaviour data, and won't include crazy formulas that you have to memorize.

  • Do I need my own data?

    No, the course includes a ton of practice datasets to aid your learning experience.

  • I have my own data, will you help me?

    Yes! If you have a specific case you want to work on, you can use the community forums or write me directly for guidance.

  • I want to use Stata, R, SAS etc., should I join?

    Maybe, but probably not. If you are completely new to statistics, it is my experience that SPSS makes the learning experience smoother because of its User Interface. So even if long-term plan is to use other software, it might be worth learning statistics with SPSS using the free trial: The underlying principles are the same, but using the other software WILL be much different. Feel free to write me an e-mail at [email protected] if you want me to make a course for your favourite software.

  • What if I realize the course wasn't right for me after all?

    The 30-day money-back guarantee is more than enough to try out the entire course. So if you realize that it didn't fit you after all, just write us and you will get your money back.