Research methods factorial design
Factorial Design - Correct answer an experimental design that has more
than one IV (between-sub)
Hybrid design - Correct answer any factorial design that has at least one
quasi-iv
interaction - Correct answer one ivs influence on the dv changes depending
on level of other ivs
benefits of factorial design - Correct answer Establish cause and effect, run
multiple experiments for price of one, saves time, reqries fewer participants
and allows us to see how ivs work together to influence dv
Main effect hypothesis - Correct answer a prediction that focuses on one iv
at a table, ignoring all others
Interaction effect hypo - Correct answer A prediction about how the levels f
one iv will combine w/another iv to impact dv in a way that extends beyond
the sum of two separate effects
Crossover interaction - Correct answer when the influence of one iv on the
other reverses levels of the other variables
Vignette - Correct answer a description of a hypo situation, event or
scenario to which participants react (good b/c researcher can manipulate
exactly what participant sees)
2 way analysis of variance - Correct answer a stat test that allows us to
simultaneously test how two separate nominal or categorical IVS (factors)
influence the dv and how those ivs interact to influence the dv. Also known
as 2 way anova or factorial anova
Cell mean - Correct answer mean on dv for participants w/specific combo
fo levels of if the ivs
