Chapter 5 Flashcards
conditions
The different levels of the independent variable to which participants are assigned
control
Holding extraneous variables constant in order to separate the effect of the independent variable from the effect of the extraneous variables.
extraneous variables
Any variable other than the dependent and independent variable.
single factor two-level design.
An experiment design involving a single independent variable with two conditions.
single factor multi level design
When an experiment has one independent variable that is manipulated to produce more than two conditions.
Extraneous Variables as “Noise”
Data can be all over the place based on factors outside the independent elements that influence the control elements. mood can be such a thing. It’s important to limit this as much as possible for better data
Ways to control Extraneous variables
to hold them constant
holding participant variables constant.
confounding variable
An extraneous variable that varies systematically with the independent variable, and thus confuses the effect of the independent variable with the effect of the extraneous one.
Difference between extraneous and confounding variables
An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.
A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.
treatment
Any intervention meant to change people’s behavior for the better.
treatment condition
The condition in which participants receive the treatment.
control condition
The condition in which participants do not receive the treatment.
randomized clinical trial.
An experiment that researches the effectiveness of psychotherapies and medical treatments.
no-treatment control condition
The condition in which participants receive no treatment whatsoever.
placebo control condition
Condition in which the participants receive a placebo rather than the treatment.
In these experiments. They hold a no condition, placebo condition and treatment condition and measure the effectiveness by measuring the difference between the treatment and placebo conditions
wait-list control condition
Condition in which participants are told that they will receive the treatment but must wait until the participants in the treatment condition have already received it.
Sham surgery example
When people got a false surgery and experienced improvement in knee pain even though nothing happened
An experimenter conducts a study with three different conditions. The experimenter ensures that participants engage in every condition of the experiment. The experimenter is using a:
A. Between-Subjects design
B. Within subjects design
C. Matched-Subjects design
D. Temporal Order design
B. Within subjects design
A confounding variable is a threat to establishing causality because it _________, so it is impossible to determine which variable caused the dependent variable to change.
A. Does not covary with the independent variable
B. Dose not covary with the dependent variable.
C. Covaries with the independent variable
D. Covaries with the dependent variable
C. Covaries with the independent variable
Random assignment ensures that participants:
A. Are assigned to certain experimental conditions based on the participants individual preferences
B. Are assigned to certain experimental conditions based on individual differences observed by the experimenter
C. Have an equal probability of being assigned to any of the experimental conditions.
D. Are all treated in the same way during the experiment
C. Have an equal probability of being assigned to any of the experimental conditions.
Counterbalancing is particularly important in a:
A. Between-subjects design
B. Within-subjects design
C. Matched groups
D. Non-experimental
B. Within-subjects design
between-subjects experiment
An experiment in which each participant is tested in only one condition.