Session 5a Flashcards
for 2 way anova, how many factors are there
TWO factors, each with two or more levels
how many null hypotheses for 2 way anova
There will be multiple null hypotheses, concerning:
Main effect of Factor A
Main effect of Factor B
Interaction between Factor A and B
what do Two-way factorial experiments focus on
We focus on experiments with TWO independent variables or factors
what are Factorial designs
those in which factors are completely crossed
Factorial designs are those in which factors are completely crossed
what does this mean
contains all possible combinations of the levels of factors
Example: when each factor has 3 levels, it is called a 3 × 3 factorial design, resulting in 9 treatment combinations
Example: when one factor has 2 levels and the other has 3, it is called a 2 × 3 factorial design, with 6 treatment combinations
fr 2 way factorial experiments, We further assume what
Subjects serve in only one of the treatment conditions (independent-groups design)
If sample sizes are equal in each condition, it is called a balanced design
We refer to the two independent variables as what
Factors
For example, Factor A and Factor B
A two-way factorial experiment contains information about what
Two main effects
An interaction effect
what are Main effects
The effect of one factor what the other factor is ignored (by averaging the means over all levels of the other factor)
The differences among marginal means for a factor
what is the Interaction effect
The extent which the effect of one factor depends on the level of the other factor
An interaction is present when what
the effects of one factor on the DV change at different levels of the other factor
The presence of an interaction in the interaction effect indicates what
that the main effects along do not fully describe the outcome of a factorial experiment
what is an interaction sometimes called
crossover effect
