Two Factor and Quasi Experiments
No Description
MORE DECKS TO EXPLORE
PRESENTATION OUTLINE
Many experiments are factorial designs, with more than one independent variable.
Photo by Ambreen Hasan
We look at the effects of each level of the IV and ignore the other levels. These are the main effects.
Photo by Stuck in Customs
The advantages are that it is more efficient and you get to test interactions to see if one IV’s effects depend on another IV.
Photo by tom_focus
We learn about the combined effects of multiple IVs on the DV by testing multiple IVs in factorial designs.
Photo by Songkran
Quasi Experiments are similar to an experiment, but no true IV is manipulated.
Photo by Maarten van den Heuvel
A pretext-postest design is where the DV is measured before and after a treatment where other factors could account for the changes.
Photo by psd
Time series design, another quasi experiment occurs when the DV is measured over time...and again other factors may account for the changes. Can’t say it is the IV.
Photo by Yoko ❥ (Paulina)
