Data Analysis: Exploring Group Differences

Using t-tests and Analysis of Variance (ANOVA)

What are these?

  • A series of short videos designed to explain basic stats techniques, and how to do them in Excel, SPSS, and R.

  • This series was informed by several of Neil J. Salkind’s books on statistical training (Statistics for People who Think They Hate Statistics, Excel Statistics: A Quick Guide, and Using SPSS for Windows and Macintosh), and by the online R community.  This video series was created with National Science Foundation funding, #1423004.

How should you use them?

  • To orient yourself to the different ways that basic stats help you understand data.
  • To understand the stats is your evaluation reports and how they work.
  • To remind yourself of stats you learned a while back, but feel a bit rusty with.
  • As a primer for more comprehensive stats training.

How should you NOT use them?

  • To replace the statistical training needed for evaluation.

  • Need more? Send us a request for a new video series by using the Contact Us feature.

Start here

T-Tests & ANOVAs in Concept Video

Understand t-tests and one-way ANOVAs

 

Choose your software:

R

Excel

EF Independent Samples T-test in Excel Handout

Conduct a t-test in Excel

Independent Samples T-test in Excel Video

Conduct a t-test in Excel

 

EF ANOVA in Excel Handout

Conduct a one-way ANOVA in Excel

ANOVA in Excel Video

Conduct a one-way ANOVA in Excel

 

SPSS

EF Independent Samples T-test in SPSS Handout

Conduct a t-test in SPSS

Independent Samples T-test in SPSS Video

Conduct a t-test in SPSS

 

EF ANOVA in SPSS Handout

Conduct a one-way ANOVA in SPSS

ANOVA in SPSS Video

Conduct a one-way ANOVA in SPSS

 

R

EF Independent Samples T-test in R Handout

Conduct a t-test in R

Independent Samples T-test in R VIdeo

Conduct a t-test in R

 

EF ANOVA in R Handout

Conduct a one-way ANOVA in R

ANOVA in R Video

Conduct a one-way ANOVA in R

 

Additional data analysis resources:

We provide a variety of resources that can be filtered based on your preferences.

Instruments

Data Collection

Data Management

Data Analysis

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