Sampling Flashcards

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1
Q

Non-response bias

A

When a significant number of participants do not return their surveys. This could result in bias

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2
Q

Population

A

Total number of person of object of interest in a study.

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3
Q

Retrospective study

A

Pick a sample and gather data about their past

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4
Q

Placebo

A

The control treatment used in medical experiments

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5
Q

Simple Random Sample (SRS)

A

A sample in which each group of n units has an equal chance of being selected.

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6
Q

Systematic Sampling

A

When you randomly pick a starting point on a list and select every 5th person thereafter

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7
Q

Undercoverage

A

When individuals from a subgroup of the population are not represented

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8
Q

Cluster Sampling

A

When entire groups, which are representative of the population are chosen randomly for a survey

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9
Q

Representative Sampling

A

A hopefully representative subset of the population

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10
Q

Stratified Sampling

A

When the population is subdivided and random samples drawn from each group. The groups should each represent a group characteristic which may influence response.

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11
Q

Counfounded

A

When you can’t determine which variable is effecting the difference in the outcomes of an experiment

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12
Q

Response Bias

A

Anything in a survey design that influences the response

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13
Q

Statistic

A

A data value (such as a mean) calculated from the sample.

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14
Q

Randomized Blocking Design

A

In this experimental design, you first divide the participants into groups based on a variable or characteristic that you believe will affect the response. Then you randomly assign to subjects from each group to treatments.

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15
Q

Randomization

A

In an experiment, this evens out the effects of variables we cannot control or that we haven’t even thought of.

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16
Q

Sampling Variability

A

The natural tendency of random samples to differ from each other

17
Q

Voluntary Response Bias

A

Conducting a survey when you have no control over who responds such as a phone-in survey

18
Q

Statistically Significant

A

When an observed difference is too large to be attributed to chance, we say that the difference is Statistically Significant.

19
Q

Completely Randomized Design

A

In this experimental design, all experimental units have an equal chance of receiving any treatment. We do not group them by any common variable.

20
Q

Convenience Sampling

A

A poor sampling method in which you choose subjects that are easy to find.