Loading [MathJax]/extensions/mml2jax.js
Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Statistics LibreTexts

Search

  • Filter Results
  • Location
    • There are no locations to filter by
  • Classification
    • Article type
    • Author
    • Cover Page
    • License
    • Show TOC
    • Embed Jupyter
    • Transcluded
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
  • Include attachments
Searching in
About 1 results
  • https://stats.libretexts.org/Workbench/Learning_Statistics_with_SPSS_-_A_Tutorial_for_Psychology_Students_and_Other_Beginners/13%3A_Factorial_ANOVA/13.02%3A_Factorial_ANOVA_2_-_Balanced_Designs_Interactions_Allowed
    Now that we have a formula for calculating SS A:B , it’s important to recognise that the interaction term is part of the model (of course), so the total sum of squares associated with the model, SS M ...Now that we have a formula for calculating SS A:B , it’s important to recognise that the interaction term is part of the model (of course), so the total sum of squares associated with the model, SS M is now equal to the sum of the three relevant SS values, SS A +SS B +SS A:B . The residual sum of squares SS R is still defined as the leftover variation, namely SS T −SS M , but now that we have the interaction term this becomes

Support Center

How can we help?