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# Additional Vocabulary relating to experiments: - PowerPoint PPT Presentation

Additional Vocabulary relating to experiments: . Measurement/Ordering: Assigning numbers or scales to variables in an experiment. Ex: Using a 5 point scale ranging from “never” through “rarely” “sometimes”…. Additional Vocabulary relating to experiments: .

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### Additional Vocabulary relating to experiments:

Measurement/Ordering:

Assigning numbers or scales to variables in an experiment.

Ex: Using a 5 point scale ranging from “never” through “rarely” “sometimes”…..

### Additional Vocabulary relating to experiments:

Mean: technical term for average. You will compare (2) means if you are working with an experimental group and a control group.

### Additional Vocabulary relating to correlations:

Coefficient of correlation:

(The symbol for the coefficient of correlation is a lower case “r”.)

How closely are two variables related? For example, how closely is being anorexic related to being a perfectionist? The coefficient of correlation is expressed as a number between 0 and 1. Zero means no correlation and 1 means a perfect correlation.

### Additional Vocabulary relating to correlations:

Coefficient of correlation:

The coefficient of correlation can either be (+) or (-) .

The “strength” of this relationship is what is indicated by the number 0-1.

*This is very important!

Coefficient of correlation:

Ex: The number of times a student is absent from class correlates -.40 with the final course grade.

*It is a neg. correlation because as one factor goes up (the # of times class is missed) the other factor goes down (grades.)

*A coefficient of .40

(on a scale of 0-1) indicates somewhat of a correlation/relationship between the two. Remember the scale ranges from 0, 0.1, 0.2, 0.3……..1.

Coefficient of correlation:

*A coefficient of -.90

(on a scale of 0-1) would have indicated an extremely strong correlation between missing class and your final course grade.

(You would be destined to fail.)

In Psychology, anything above a .60 (+/-) correlation is considered to be quite high.

Anything below .20 (+/-) is judged to be only minimally useful.

Correlations do not indicate a cause and effect relationship like experiments.

Ex: There is a correlation between the softness of the asphalt in the streets and the number of heat stroke cases. Does soft asphalt CAUSE heat strokes?

No, the SUN, a third variable causes heat strokes. There is simply a correlation between the two.