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Bivariate Basics Terms

Terms in this set (14)

ANOVA
used to compare different means
correlation
used to measure a linear relationship
within groups comparison
include the same participants in all IV conditions; used for a longitudinal or repeated-measures design
between groups comparison
involve different participants in each IV condition; used for a cross-sectional design
The _____ or r tells the strength of the linear relationship, while the ____ of r tells the direction of the linear relationship
size, sign
The _____ of the r is the "effect size" and the ______ of r is the "effect direction"
size, sign
The ____ of r is related to whether or not the correlation is significant, the ____ of r is not
size, sign
A scatterplot can be used to decide if two quantitative variables have a ______ bivariate relationship that can be represented by a correlation or if the two quantitative variables have a _______ bivariate relationship
linear, nonlinear
A correlation should not be used if the variables have a ______ bivariate relationship because performing a correlation presumes there is a _____ bivariate relationship between the two variables
nonlinear, linear
A _______ used to display relationships between 2 qualitative variables, a _______ is used to display relationships between 2 quantitative variables
contingency table, scatterplot
A _____ should be examined before a correlation is calculated, a _______ should be examined to describe the pattern revealed by a significant chi-square
scatterplot, contingency table
_____ chi-square data patterns are usually weaker effects than _____ chi-square data patterns
asymmetrical, symmetrical
_____ chi-square data patterns have the larger frequencies on one diagonal and the smaller frequencies on the other diagonal, ______ chi-square data patterns often have a difference between the rows of only one column
symmetrical, asymmetrical
______ chi-square data patterns often have a difference between the rows of only one column, _____ chi-square data patterns have row differences in opposite directions in the two columns
asymmetrical; symmetrical
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