this hypothesis says there is no relationship between variables
null hypothesis
Not being able to assign people to live in poverty
ethics
This is not implied
causation
This letter represents the correlation statistic
r
The predictor variable in an independent samples t-test must be nominal and include this many groups
two
A hypothesis that predicts a relationship between two variables but does not specify the direction of the relationship.
two-tailed hypothesis
Gathering preliminary data for a larger study
pilot study
This type is used when you have one interval/ratio variable and one dichotomous variable
point-biserial correlation correlation
This is indicated by a positive or negative sign
direction
Homogeneity of variance refers to the fact that the ______ of both groups is similar.
standard deviation
an alternative hypothesis in which the researcher predicts the direction of the expected difference between the groups
one-tailed hypothesis
Checking multiple measures of a single construct
assess measurements of validity and reliability
This occurs when the top value of a variable is not assessed properly
ceiling effect
This is represented in the steepness of the slope of the correlation line
strength
What do you compare your t-value to in order to determine if there is statistical significance?
t-critical value
This is the name of the shaded part of the distribution
region of rejection
A descriptive study is not enough
supplement other designs
The number of times a correlation statistic is shown on the SPSS output
Two
This is the typical criterion for statistical significance (include the associated letter)
p<.05
This test is used to determine homogeneity of variance in SPSS
levene's test
A criterion of p < .05 indicates that there is less than a 5% chance that the results were due to this
chance alone
Applying findings to a large group
increased external validity
This is the final click of the dropdown menu on SPSS to run a correlation analysis
bivariate
Describe the strength, direction, and significance: r=.04, p=.06
weak, positive, not significant
You square this as a measure of the effect size for the independent samples
Pearson correlation