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Say that you are interested in determining whether there are statistically significant differences in total cholesterol values among individuals from different geographical regions (the South, the Midwest, and the West Coast). Which of the following statistical tests would allow you to answer your research question?

Simple One-way ANOVA


When conducting a total of 5 pairwise comparisons using Holm's sequential Bonferroni procedure, what should the alpha level be for the comparison with the lowest p value in order to be considered statistically significant? Assume that the a-priori alpha level was 0.05.

p less than or equal to 0.01


The main difference between a one-way and two-way ANOVA is that:

a one-way ANOVA involves only one independent variable whereas a two-way ANOVA involves two independent variables


Assume that you conduct a two-way repeated-measures ANOVA and find that the main effects were statistically significant, but the interaction effect is not statistically significant. What should your next step be in terms of follow-up tests?

Conduct pairwise comparisons


When conducting a two-way repeated-measures ANOVA, what type of plot can be generated in order to visually represent the interactions and main effects associated with the factors?

Profile Plot (Line Graph)


In a one-way repeated-measures ANOVA, the qualitative independent variable is referred to as:

The within-subjects factor or The repeated-measures factor (Either B or C)


If you were conducting a one-way repeated-measures ANOVA and had evidence to indicate that the assumption of sphericity had been violated, what approach could you take in order to not have to worry about violating this assumption?

Use alternative univariate methods that correct the degrees of freedom to take this violation into account or Take a multivariate approach since it doesn't require the assumption of sphericity (Either A or B would be appropriate approaches)


What does partial eta squared tell us?

How much of the variance in the dependent variable can be accounted for by the independent variable


A repeated-measures ANOVA is just like a dependent (paired-samples) t-test except

there can only be two levels of the independent variable in the dependent t-test


In a one-way repeated-measures ANOVA, follow-up pairwise comparisons are really nothing more than:

A series of dependent-samples t test


As an example, think back to our strength training data set where we were interested in the effects of an 11 week resistance training program on 505 Agility test times. Keep in mind that our sample was randomly assigned to one of two groups: experimental or control. Also keep in mind that all subjects were tested at baseline (pre-test), 6 weeks (mid-test), and 12 weeks (post-test). If these two factors - group assignment and time - were applied to 505 Agility times (the dependent variable), the design of this factorial ANOVA could be described as which of the following?

A 2x3 design


The main purpose of the 'Step-Down Procedure' discussed in the text is to do which of the following?

Protect against Type I Errors


The type of factorial ANOVA that involves at least two between-subjects factors is commonly referred to as which of the following?

Between-Between Design


If you conducted a factoral ANOVA and found that the interaction effect was not statistically significant, what is the next thing that you should do in terms of beginning to interpret your analysis?

Examine each of the main effects individually


The type of factorial ANOVA that involves two or more within-subjects factors is commonly referred to as which of the following?

Within-Within Design


Factorial ANOVA models can be used for which of the following?

When researchers want to know the simultaneous effects of two or more factors on a dependent variable, When researchers want to know the simultaneous effects of two or more between-subjects factors on a dependent variable, When researchers want to know the simultaneous effects of one or more between-subjects factors and one or more within-subjects factors on a dependent variable (All of the above)


Compared to a factoral ANOVA with a between-between design, what additional assumption must be met for a factorial ANOVA with a between-within design?

The assumption of sphericity (multisample sphericity)


If a factorial ANOVA were conducted and the results demonstrated a statistically significant interaction effect, how could you go about delineating the specific mean differences in the cell means?

Conduct tests of simple effects


The type of factorial ANOVA that involves at least one between-subjects factor and at least one within-subjects factor is commonly referred to as which of the following?

Mixed Design


If you were looking at a profile plot and saw that the slopes of two lines were not completely parallel with one another, this would suggest that:

there is a significant interaction effect present