Challenge yourself with these true/false questions. Click on your choice to see if you are correct.
Designs that include two or more dependent variables in the same experiment are called factorial designs. (True/False)
When two independent variables have an effect in combination that is more than a simple additive effect, we say there is an interaction. (True/False)
A 3 X 2 factorial design has three factors with two levels of each factor. (True/False)
A 4 X 3 factorial design will produce a seven-cell matrix. (True/False)
It is possible to have a main effect without an interaction, but it is impossible to have an interaction without a main effect. (True/False)
A two-factor study will have a total of three null hypotheses to test (two main effects and an interaction). (True/False)
When interpreting a statistical analysis of a factorial design in which both an interaction and main effects occur, we always begin the interpretation with the interaction. (True/False)
When doing an analysis of variance with a factorial design, the degrees of freedom for Factor A are equal to the number of levels of Factor A. (True/False)
It is possible to have a factorial design in which both factors are within-subjects factors. (True/False)
The importance of knowing which factors are within-subjects factors and which factors are between-subjects factors occurs at the data analysis stage. (True/False)
If some factors represent nonmanipulated variables, then no causal conclusions can be drawn from the study. (True/False)
The advantage of using an analysis of variance is that it will rule out confounding hypotheses for us. (True/False)
Theoretically, it is possible to conduct an analysis of variance with an unlimited number of independent variables. (True/False)
The difference between analysis of variance and analysis of covariance is in the number of dependent variables. (True/False)
In a multivariate analysis of variance, we have more than one dependent measure in the same study. (True/False)
Factorial designs should only be used for studies that use independent groups designs. (True/False)
The most appropriate statistical procedure for analyzing a factorial design is the t-test. (True/False)
In a factorial study with two nonmanipulated factors, the ANOVA that you would want to use would assume that both factors are between-subjects factors. (True/False)
If you have a mixed design with one between-subjects factor and two within-subjects factors, you must be careful in drawing causal connections concerning the within-subjects factors. (True/False)
The children's dark fear study described in the text is an example of a mixed factorial design. (True/False)
The darkness factor in the children's dark fear study is a between-subjects factor that is manipulated by the researcher. (True/False)
If, in a factorial design, one of the factors is a nonmanipulated factor, then you must be cautious about drawing causal conclusions about the main effect of that nonmanipulated factor and any interaction of that factor with any other factor. (True/False)
It is possible to have interactions without main effects, but it is not possible to have main effects without interactions. (True/False)
When you have four factors in a factorial design, you will have a total of nine null hypotheses. (True/False)
A three-factor study will have a total of seven null hypotheses to test. (True/False)
A procedure for statistically removing the effects of a variable on dependent measures is called analysis of covariance (True/False)
Like ANCOVA, MANOVA is a variation of basic ANOVA procedures. (True/False)