Experimental Design

Front

What is needed in an experiment in order to be valid, usually because experiments consist of volunteers?

Back

Random assignment is needed to ensure that the groups are comparable and that the results are not biased.

Front

What is it called when objects or subjects are assigned to groups completely at random?

Back

Completely randomized design is a method where subjects are randomly assigned to different treatment groups.

Tags

CCSS.HSS.IC.B.3

Front

What is the term for when both groups of individuals who could influence the results and those who evaluate the results are blinded?

Back

Double-blind refers to a study design where neither the participants nor the researchers know who is receiving a particular treatment.

Front

What is a treatment applied in the default or null group called?

Back

Control treatment is the standard against which the experimental group is compared.

Front

What is a variable whose values are compared across different treatments?

Back

Response variable is the outcome that is measured to see if it changes due to the treatment.

Tags

CCSS.6.SP.B.5B

Front

What is the purpose of random assignment in experimental design?

Back

Random assignment helps to eliminate bias and ensures that each participant has an equal chance of being assigned to any group.

Front

What is a factor in the context of experimental design?

Back

A factor is a variable that is manipulated in an experiment to observe its effect on the response variable.

Front

What is the difference between a control group and an experimental group?

Back

The control group does not receive the treatment, while the experimental group does receive the treatment.

Front

What does it mean for a study to be single-blind?

Back

In a single-blind study, only the participants do not know which group they are in, while the researchers do.

Front

What is confounding in experimental design?

Back

Confounding occurs when the effects of two or more variables are mixed together, making it difficult to determine the effect of each variable.