In: Math
Post hoc tests are also known as multiple comparisons.: T or F
Research designs that include more than one factor are called factorial designs.: T or F
The simplest of factorial designs is the two-way analysis of variance (ANOVA).: T or F
A two-way ANOVA consists of two DVs and one IV.: T or F
The purpose of factorial ANOVA is to test the mean differences with respect to some IV.: T or F
Ans:
1)Post hoc tests are also known as multiple comparisons.
True
2)Research designs that include more than one factor are called factorial designs.
True
In statistics, a full factorial experiment is an experiment whose design consists of two or more factors, each with discrete possible values or "levels", and whose experimental units take on all possible combinations of these levels across all such factors.
3)The simplest of factorial designs is the two-way analysis of variance (ANOVA).
True
4)A two-way ANOVA consists of two DVs and one IV.
False,as there will be two IV's and One DV.
5)The purpose of factorial ANOVA is to test the mean differences with respect to some IV.
False
A factorial ANOVA compares means across two or more independent variables. Again, a one-way ANOVA has one independent variable that splits the sample into two or more groups, whereas the factorial ANOVA has two or more independent variables that split the sample in four or more groups.