Gathering Data Flashcards

1
Q

Statistical vs. practical significance

A

Statistical: “Is there something there?”
Practical: “How big is the finding?”

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2
Q

Traits of good survey studies

A

Representative sample

Random sampling

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3
Q

Types of random sampling

A

Simple (randomize at individual level)
Cluster (randomize at group level)
Stratified (randomly pull out same size population from each group)

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4
Q

Sampling bias for surveys

A

Sample isn’t representative of population

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5
Q

Nonresponse bias for surveys

A

Sample was random, but not everyone participated

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6
Q

Response bias for surveys

A

People were sampled properly and answered all the questions, but answered them incorrectly

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7
Q

Traits of good experiments

A

Manipulation of at least 1 variable
Random assignment to conditions
Blinding (if possible)

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8
Q

Things to check when using other people’s data

A

Validity (good operational definition of concept)
Reliability (care with which data was taken/processed)
Confounds (other variables which could possibly explain data)

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