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The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

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Page 1: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

The Language of Studies

Lecture 10

Secs. 3.1 – 3.3

Fri, Sep 7, 2007

Page 2: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Observational study Experiment Response variable Explanatory variable

Observation vs. Experimentation

Page 3: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Observation vs. Experimentation

An observational study does not manipulate the explanatory variables.

An experiment does manipulate the explanatory variables.

Page 4: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Examples

Which ones are observational and which are experiments?Case Study 1: Empathy for cheatersCase Study 4:

Alcohol-related traffic deaths up in Virginia

Page 5: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Observation vs. Experimentation

If an experimental study gives the researchers more control over the explanatory variables, then why would anyone conduct an observational study?

Page 6: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Levels and Treatments

Values of the explanatory variable are called levels.

If there is more than one explanatory variable, then combinations of their values are called treatments.

Page 7: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Confounding Variables.

Confounding variable – A variable whose effect on the response variables cannot be separated from the effect of the explanatory variables.

If a study has one or more confounding variables, then the researchers cannot attribute changes in the response variables to any one explanatory variable.

Page 8: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Case Study 6

Not Now, Dear. I Don’t Have a Headache In this study,

Identify the response variable(s). Identify the explanatory variable(s). Identify the levels or treatments.

Can you think of any confounding variables?

Page 9: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Case Study 5

Food buying habits of people who buy wine or beer: cross sectional study

In this study, Identify the response variable(s). Identify the explanatory variable(s). Identify the levels or treatments.

Can you think of any confounding variables?

Page 10: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

A study cannot prove that variations in the explanatory variable really were the cause of variations in the response variable.

The study can only give evidence supporting that belief.

It may be the case that there is a third variable that is affecting both the explanatory and response variables.

It may be conceivable that the “response” variable affected the “explanatory” variable!

Do “Explanatory” Variables Really Explain?

Page 11: The Language of Studies Lecture 10 Secs. 3.1 – 3.3 Fri, Sep 7, 2007

Evidence of Causation

The following are evidence (but not proof) of causation. The same association between the explanatory and

response variables occurs in a variety of situations. There is a plausible explanation of how the

explanatory variable could affect the response variable.

There is no equally plausible third factor that could be affecting both the explanatory and the response variables.