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Logic of ANOVAs
Repeated measures ANOVAs
Factorial ANOVAs
Correlations
Regression
100
The conditions or values that make up a factor (or variable).
What are levels?
100
The null hypothesis for a repeated measures ANOVA that has three treatments.
What is M1 = M2 = M3?
100
When you run a 2 X 2 ANOVA, and analyze the data from it, you will end up testing how many hypotheses?
Three hypotheses. Two main effects and an interaction?
100
The statistic used to calculated a correlation.
What is Pearson's r?
100
Y
What is the criterion variable, or the variable you are trying to predict?
200
My experiment has multiple conditions (6) and I want to compare across those means, but doing all the possible two condition comparisons will increase the likelihood of making a Type I error.
What is a reason for doing an ANOVA instead of a t-test?
200
The denominator of the F-statistic for a repeated measures ANOVA features this variance.
What is the residual variance (variance left over when you've subtracted the treatment effect and error resulting from individual differences)?
200
You compare these means when analyzing a main effect.
What are the marginal means?
200
A negative correlation.
What is an association where as one variable increases the other variable decreases?
200
X
What is the predictor variable (or the variable you have data for on an individual)?
300
The variance that goes in the numerator of the ratio used to calculate an F-statistic.
What is the between-treatments variance?
300
SSerror/DFerror = _____
MSerror?
300
You compare these means when analyzing an interaction.
What are the cell means?
300
The three things that pearson's r tells you about the relationship between two variables.
What are the direction, strength and form (must be a linear relationship)?
300
Regression is done by plotting this kind of line through a data-set.
What is a line of best fit or a regression line?
400
A measure of variance caused by random, unsystematic differences.
What is the error term or the within-treatments variance?
400
A measure of effect size, also the percentage of variability in your study that can be attributed to the treatment effect.
What is eta squared?
400
An interaction.
What is an effect where the effect of one factor is different across the levels of the other factor?
400
-1 to +1
What is the range of values that correlation statistic can have (lower and upper limits)?
400
a
What is the y-intercept in the linear equation?
500
SStotal - SSwithin = ______
What is the SSbetween?
500
When doing a post-hoc test, you can compute Tukey's HSD to use as a benchmark to compare your against pairwise differences. You multiply this statistic by the square root of the ratio of the MSwithin to n.
What is What is "Q" (omnipotent Star Trek: TNG character)
500
DFa X DFb = ______
What is the formula for calculating the degrees of freedom for an interaction between Factor A and Factor B.
500
The proportion of variability in one variable (X) that can be determined from its relationship with another variable (Y).
What r-squared tells us?
500
One is a standardized regression coefficient and the other is an unstandardized.
What is the difference b and B (beta)?