Factorial Design

A simple main effect test is appropriate for analyzing which significant result?

A significant interaction

A change in the dependent variable that is due to the presence of a particular combination of independent variables is called:

An interaction

If the treatment had no effect, the F ratio would

Approx. 1.00

3 interaction moderation patterns:

Direction, Presence, Strength

T/F: ANOVA is robust to violations in the skew of the data.

False

Which is the proper way to state the null hypothesis for a main effect?

H0: all µs are equal

A researcher reports a significant ANOVA as F(2, 12)=7.03, p<0.05. What is wrong with this report?

No effect size is reported

If F(3, 11) = 6.20, Fcritical =3.59 we ____________ the null hypothesis at α =.01

Reject

A _______ is the effect of one independent variable at one of the levels of another independent variable.

Simple effect

The main effects would be equivalent to what type of information?

The information that would be obtained by conducting separate single-factor research designs for each of the independent variables.

T/F: If both main effects and the interaction are not significant using the two-way between-subjects ANOVA then post hoc tests and simple main effect tests are unnecessary

True

T/F: Mean square error is the denominator for all tests using a two-way between-subjects ANOVA.

True

T/F: Our risk of error increases when we run multiple a priori interaction comparisons.

True

T/F: The F ratio is always positive in the ANOVA model.

True

A psychologist is interested in the effects of "cheating" behavior of children when they are writing a simple versus a difficult test. She is also interested in their behavior when offered a reward for a good grade (70% or greater) versus no reward for a grade lower than 70. What type of test should she run?

Two-way ANOVA

For the effects of a two-way between-subjects ANOVA, which values must be known to compute effect size using omega-squared?

mean squares, sum of squares, degrees of freedom

A ______ is a research design consisting of one independent variable; a ______ is a research design consisting of all possible combination of two or more independent variables.

single-factor research design; factorial research design