Designing Studies - Vocab Review

Front

What is the term for when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other?

Back

Confounding

Tags

CCSS.7.SP.B.3

Front

What sampling method involves taking a sample without planning which part of the population is measured, making it easy to reach?

Back

Convenience sample

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What type of study observes individuals and measures variables of interest without attempting to influence the responses?

Back

Observational study

Tags

CCSS.HSS.IC.B.3

Front

What is the process of sampling those who choose themselves for participation, such as through a phone call or online form?

Back

Voluntary response

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is an experiment called in which neither the subjects nor those interacting with them know which treatment a subject received?

Back

Double blind experiment

Tags

CCSS.HSS.IC.B.3

Front

What is the difference between a convenience sample and a random sample?

Back

A convenience sample is taken from a part of the population that is easy to reach, while a random sample is taken from the entire population in a way that every individual has an equal chance of being selected.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

What is the purpose of a double blind experiment?

Back

To eliminate bias in the results by ensuring that neither the participants nor the experimenters know who is receiving which treatment.

Front

What is the main advantage of using observational studies?

Back

They allow researchers to study behaviors and outcomes in a natural setting without interference.

Front

What is a potential drawback of convenience sampling?

Back

It may not accurately represent the entire population, leading to biased results.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Front

How does confounding affect the interpretation of study results?

Back

Confounding can lead to incorrect conclusions about the relationship between variables because the effects of the confounding variable are mixed with the effects of the variables of interest.