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Experimental and Correlational Research Study Guide

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All you need to know for the Experimental and Correlational Research in one document! No need to read the book, just familiarise yourself with this summary and do practice questions and you are guaranteed to get a good grade! Good Luck!

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Experimental &
Correlational Research
Important Concepts you should be familiar with


Correlation =/ causation

Correlation: Is there an association between two variables?
Assume association  two variables changing together

Causality: is there an effect?
One happens  the other happens after

Must happen for causality to be in place:
1. Covariance: variables have an association
2. Directionality: cause precedes effect (in time)
3. Internal validity: eliminate alternative explanations

Scatterplots

Direction: positive vs. negative
Strength: more points clustered around one (straight) line = stronger relationship
Shape: linear vs. nonlinear / homogenous vs. heterogeneous

(if non-linear + heterogeneous = cannot measure correlation)

Covariance (sxy): measure the degree to which two variables vary together




Provides info:

Direction & Strength:

If near -1 and 1 = stronger relationship

If 0 = no relationship

If close to 0 = weak relationship

Disadvantage: The range of the covariance is dependent on the unit of measurement of the
variables

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Great summary for E&C Research! Helped me understand the statistics concepts much better! ANother great one from IBP thanks a lot! :)

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