Statistics / Data Analysis in SPSS: Factorial ANOVA

Master data analysis using SPSS with our comprehensive course. Learn one-way, two-way ANOVA, and more to enhance your statistical skills.

  • Overview
  • Curriculum
  • Instructor
  • Review

Brief Summary

Get ready to dive into applied data analysis with SPSS! This course breaks down ANOVAs step-by-step, teaches you how to interpret results, and boosts your confidence in stats—perfect for enhancing your data skills.

Key Points

  • One-way ANOVA explanations (both between and within subjects)
  • Two-way ANOVA covering main effects and interaction effects
  • Post-hoc tests to analyze results after ANOVA
  • Introduction to three-way ANOVA
  • Professional report writing for statistical results

Learning Outcomes

  • Understand and perform one-way and two-way ANOVAs.
  • Learn to interpret statistical output quickly and accurately.
  • Gain confidence in analyzing data with SPSS.
  • Write professional results reports following best practices.
  • Enhance your job skills with marketable quantitative analysis expertise.

About This Course

Applied data analysis in SPSS, covering the one-way ANOVA, two-way ANOVA (main effects and interaction), and more!

November, 2019.

This course covers - step by step - a number of different ANOVAs and related statistical tests in SPSS. The following important statistical procedures are covered in the course:

1) One-way between ANOVA 

2) One-way within ANOVA

3) Post-hoc tests

4) Two-way between ANOVA (main effects, interaction effect, and simple effects)

5) Introduction to a three-way ANOVA

In completing this course, you will:

  • Learn how to write the results of statistical analyses in a professional "best practices" format.

  • Learn how to quickly recognize and interpret the most important information in statistical output.

  • Substantially increase your confidence in this highly respected subject matter. 

  • Increase your marketable quantitative job skills.

  • Learn how to use a common program for conducting statistical analyses: SPSS.

Designed by a award-winning (in teaching) statistics professor with a focus on both simple and accurate step-by-step explanations of the material. Substantially increase your knowledge of analysis of variance and inferential statistics -- enroll today!

  • learn how to interpret the one-way ANOVA between and within subjects designs

  • Learn how to run and interpret a two-way ANOVA, including main effects and interactions

  • learn how to conduct simple effects tests on the interaction effect

Instructor

Profile photo of Quantitative  Specialists
Quantitative Specialists

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!

Review
4.9 course rating
4K ratings
ui-avatar of Caroline Qureshi
Caroline Q.
4.0
1 year ago

This course is great so far - it is the perfect level of detail I was looking for. I wanted an applied course that didn't go too much into the weeds, but also wanted the instructor to explain the output fully as well as interpretation. This is exactly what I was looking for.

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ui-avatar of Padmaranjan Saha
Padmaranjan S.
5.0
2 years ago

good

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ui-avatar of Alana Choate
Alana C.
4.0
3 years ago

It was straight to the point which I liked! I do wish we had maybe like a practice assignment per section but it was really easy to follow and understand!

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ui-avatar of Yandisa Novokoza
Yandisa N.
5.0
3 years ago

The explanations are simple and very easy to follow

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ui-avatar of Khomotso Keikelame
Khomotso K.
4.5
4 years ago

Great course, thank you

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ui-avatar of Kumar Rajnish
Kumar R.
5.0
4 years ago

Video has prepared very well and the way of explaining is very simple and easy to learn

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ui-avatar of Tim Edullantes
Tim E.
5.0
4 years ago

Very good presentation, excellent explanation and very informative.. I recommend this course to other researchers or PhD students.

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ui-avatar of Lingyan Hu
Lingyan H.
5.0
4 years ago

Really helpful, clear explanation!

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ui-avatar of Hanna Kim
Hanna K.
5.0
4 years ago

Happy with this course.

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ui-avatar of David J. Sultzer
David J. S.
5.0
4 years ago

I think this is a great course. Well thought out with plenty of explanations. Thank you.

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