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A research technique in which the researcher simply observes and describes behavior
Correlational studies are used to look for relationships between variables
A variable under the control of the experimenter that may effect the dependent variable in a reliable fashion.
The variable being examined by the researcher. It may or may not be effected by the IV
Between Subjects Design
An experimental design in which each subjects is randomly assigned to only one of the treatment conditions
Within Subjects Design
An experimental design where all subjects receive all treatment conditions. Also called a repeated measures design
Type I Error
An error of statistical inference when the null hypothesis is rejected when it is true. This is an error of "seeing too much in the data."
Type II Error
An error of statistical inference when the null hypothesis is retained when it is false. This is an error of "not seeing enough in the data."
Variables not under the control of the experimenter that vary systematically with the independent variable
Experimental designs in which two or more independent variables are used. This permits the analysis of interactions between variables.
any variable other than the IV that affects the DV
Floor and Ceiling Effects
- Floor - The values of the DV are so low they are not affected by the IV
- Ceiling - The values of the DV are so high they are not affected by the IV
The effect of the change in level of one factor in a factorial experiment measured independently of other variables.
Response Acquiescence effect
The tendency of an interviewee to agree with the questioner.
Random & Fixed Factors
- Random - An IV whose levels were chosen randomly from a population of possible values
- Fixed - An IV whose levels were chosen non-randomly
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