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Lecture 4: Experiment 2011, 9, 15. How many pairs of shoes do you have in your closet?  Population mean:  Sample 1 mean:  Sample 2 mean:  Sample 3.

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Presentation on theme: "Lecture 4: Experiment 2011, 9, 15. How many pairs of shoes do you have in your closet?  Population mean:  Sample 1 mean:  Sample 2 mean:  Sample 3."— Presentation transcript:

1 Lecture 4: Experiment 2011, 9, 15

2 How many pairs of shoes do you have in your closet?  Population mean:  Sample 1 mean:  Sample 2 mean:  Sample 3 mean:  Sample 4 mean:  Why are the sample means different from population?  Why different from sample to sample?  Why was sample 4 mean so small?

3 Lecture 4 Topics  Research goal of an experiment  Internal validity of an experiment** –What is a confounder?  External validity of an experiment*

4 Research Goal of an Experiment  Determine cause-effect relationships between the independent variable (cause) and the dependent variable (effect) –Example: Hawthorne experiment –Independent variable: –Dependent variable:

5 Internal Validity of Experiment  The extent to which your independent variable is the only possible explanation of the changes shown in your dependent variable –Example: Hawthorne experiment

6 Confounder  An uncontrolled extraneous variable in an experiment that alter the true relationship between the independent variable (cause) and the dependent variable (effect) IVLightingConditions DVProductivity Motivation Cause

7 Statistical Research Story

8 How to improve the internal validity? How to Control Confounders?  Will attending a review session be helpful? –Randomized experiment: The participants are randomly assigned to experimental conditions –Control confounders: Make the groups approximately equal in all respects except for the independent variable, which is purposely manipulated  Test the effect of a newly-developed drug –Double-Blind Design: Control experimenter bias –Widely used at clinical settings

9 External Validity of an Experiment  The extent to which the results of an experiment can be generalized to outside world –Example: Test the effect of a newly-developed drug  How to improve the external validity?  Trade-Off between Internal and External Validity

10 Lecture 4 Recap  Research goals: Cause-effect relations  Internal validity of an experiment** –Confounders –How to control confounders  Randomization  Double-blind experiment  External validity of an experiment*


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