Chapter 11: Factorial Designs Flashcards
(13 cards)
factors
When two or more variables are combined in a single study the independent variables
factorial design
a research study involving two or more factors is called a factorial design
2x3
2 factor design: first factor has 2 levels second has 3
main effect
the difference between two columns is a separate main effect, difference btw two rows is a different main effect
interaction btw factors
one factor does have a direct influence on the effect of a second factor producing an interaction. If they are independently exists there is no interaction
factorial designs
can combine elements of experimental and nonexperimental research strategies and also it can combine elements of btw subjects and within subjects designs within a single research study.
particular disadvantage for a factorial study is that a btw subject design
require a large number of participants
individual differences
avoids order effect (advantage)
particular disadvantage for a factorial study is that a within subject design
time consuming
order effects
participant attrition
mixed design
factors can be divided into whatever is good. If it seems there are a lot of individual differences we use within subjects in that factor. If there is possibility to attrition we use btw subject design in that factor etc..
combined strategy
is combining experimental and quasi experimental or nonexperimental
first factor is a true independent variable consisting of a set of manipulated treatment conditions
and second one:
1- preexisting variable such as age or gender
2-time. quasi independent variable
higher order factorial design
3 or more factors.
Applications of factorial design
-expanding and replicating a previous study
-Reducing variance in btw subjects designs
-evaluating order effects in within subjects designs
