Week 6 Flashcards

1
Q

what is sampling bias?

A

systematic over or under-representation of a population in a sample

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2
Q

What is a sample size?

A

should be an accurate representation of the population

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3
Q

How to calculate sample size?

A

power analysis should be conducted before the sample is collected

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4
Q

What is power analysis?

A

estimate of sample size needed for accurate representation and want 0.8 for the results

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5
Q

What is a Type I error?

A

Rejecting the null when it is accurate. Calculated by Alpha

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6
Q

What is Alpha?

A

probability of rejecting the null when it is accurate out of 100 times. Should be compared with power

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7
Q

What is a type II error?

A

accepting the hypothesis when the null is correct, calculated by power

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8
Q

what is Power?

A

calculating the probability of making a type II error out of 100 times. Should be compared with alpha

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9
Q

what is non-probability sampling?

A

elements are highlighted to be shown, no randomization

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10
Q

what is probability sampling?

A

randomization used to collect a sample

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11
Q

what is convenience sampling?

A

using whoever is available for the sample

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12
Q

what is quota sampling?

A

non-probability with specific criteria to select specific populations to represent in a sample

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13
Q

what is simple random sampling?

A

define pop, list all units and then randomly select from that sample set

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14
Q

What is stratified random sampling?

A

pop divided into strat and then randomized into control or not

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15
Q

what is multistage/cluster sampling?

A

successive randomization of people who meet the eligibility criteria

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16
Q

what is matching sampling?

A

matching up people in pairs on experiment and control groups based on demographics for a similar population in each group

17
Q

what is snowball effect/network sampling?

A

recruiting one friend, and then getting them to recruit friends and family. This is because friends and family of a person typically have similar characteristics

18
Q

what is purposive sampling?

A

handpicking people

19
Q

what is theoretical sampling?

A

experiences collected to test ideas and define concepts, not actual people in the physical study

20
Q

what is data saturation?

A

when the data become repetitive