Hypothesis Testing
Rationale for Correlation Studies
Correlation: The Basics
Correlation:The Statistics
Independent Samples t-tests
100

this hypothesis says there is no relationship between variables

null hypothesis

100

Not being able to assign people to live in poverty



ethics

100

This is not implied



causation

100

This letter represents the correlation statistic



r

100

The predictor variable in an independent samples t-test must be nominal and include this many groups



two

200

A hypothesis that predicts a relationship between two variables but does not specify the direction of the relationship.



two-tailed hypothesis

200

Gathering preliminary data for a larger study



pilot study

200

This type is used when you have one interval/ratio variable and one dichotomous variable



point-biserial correlation correlation

200

This is indicated by a positive or negative sign






direction

200

Homogeneity of variance refers to the fact that the ______ of both groups is similar.

standard deviation 

300

an alternative hypothesis in which the researcher predicts the direction of the expected difference between the groups



one-tailed hypothesis

300

Checking multiple measures of a single construct



assess measurements of validity and reliability


300

This occurs when the top value of a variable is not assessed properly



ceiling effect

300

This is represented in the steepness of the slope of the correlation line



strength

300

What do you compare your t-value to in order to determine if there is statistical significance?



t-critical value 

400

This is the name of the shaded part of the distribution



region of rejection

400

A descriptive study is not enough



supplement other designs

400

The number of times a correlation statistic is shown on the SPSS output

Two

400

This is the typical criterion for statistical significance (include the associated letter)



p<.05

400

This test is used to determine homogeneity of variance in SPSS



levene's test

500

A criterion of p < .05 indicates that there is less than a 5% chance that the results were due to this




chance alone

500

Applying findings to a large group



increased external validity

500

This is the final click of the dropdown menu on SPSS to run a correlation analysis




bivariate

500

Describe the strength, direction, and significance: r=.04, p=.06

weak, positive, not significant




500

You square this as a measure of the effect size for the independent samples



Pearson correlation