3: Bivariate Correlationak Research

Question 1

Bivariate correlational research

Answer 1

Test for relationship between tow measured variables

• self report in lab or field
• no manipulation
• limited control over EV

Do changes in one variable accompany changes in another
-covariance described with Pearson r or cohens d

Question 2

Predictor variable

Answer 2

Used to make the prediction

-plot on x-axis of scatteplot

Question 3

Criterion variable

Answer 3

Gets predicted by other variable

• plot on y
• known as outcome or response

Question 4

If on variable is categorical

Answer 4

-levels of measured variable can be catergorized
•qualitative variable including pre-existing groups

-but if measured:
•still a from of correlational research: no manipulation
•causal conclusions cannot be drawn

-correlational masquerading experiment
•compare and display ass. With experimental research
•called quasi-experiments

Question 5

Research design

Answer 5

Depends on if an idnenpendt variable is manipulated and determines whether a causal inference might be valid (correlational v experimental)

Question 6

Stat analysis

Answer 6

Depends only on scale of measurement for variables (Pearson r, coefficient v cohens d or t-test)