Unit 3 test Flashcards

1
Q

What is an experiment?

A

Different conditions (treatments) are imposed upon subjects

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2
Q

What may help to predict a change in the response variable?

A

Explanatory Variable

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3
Q

What is used to measure the outcome of a study?

A

Response Variable

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4
Q

Simple Random Sampling

A

Every group of a given size has an equal chance of being chosen

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5
Q

Advantages of SRS

A

Unbiased, easy to explain

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6
Q

Disadvantages of SRS

A

In certain cases, it can be difficult to implement and it may not be as precise as other methods

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7
Q

Advantages of Cluster Random Sampling

A

Unbiased and easy to perform, practical and affordable

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8
Q

Ideal situation for Cluster Sampling

A

You want it to be heterogeneous within groups, groups are similar to each other

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9
Q

Stratified Random Sampling

A

population is divided into strata, based on a similar characteristic. SRS within each stratum is taken. Selected individuals are combined into larger samples.

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10
Q

Advantages of Stratified Sampling

A

It represents the population by drawing some from each layer, reducing variability in the results that could arise because of differences among layers.

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11
Q

Bias

A

Systematic tendency to favour certain responses over others.

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12
Q

Examples of Selection/ Sampling Bias

A

Response Bias

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13
Q

Examples of Survey Bias

A

Voluntary Response Bias, Nonresponse Bias, Convenience Sampling, Undercoverage Bias,

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14
Q

What is Voluntary Response Bias?

A

When a sample is comprised entirely of volunteers or people who choose to participate.

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15
Q

Why is Voluntary Response Bias is bad?

A

Asking people to be part of a sample will usually attract people with strong opinions, detract people who either don’t care or have something to hide which no longer accurately reflects the truth of the overall population.

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16
Q

What is Convenience Bias?

A

One that is selected quickly out of ease for the researcher.

17
Q

Why is Convenience Sampling bad?

A

These types of samples introduce potential for bias because they do not use chance to select individuals.

18
Q

What is Undercoverage Bias?

A

Certain groups were excluded from the sample and when part of the population has a reduced chance.

19
Q

What is Response Bias?

A

Any problem in the data collection process that would result in data that is untruthful or incorrect.

20
Q

What is Non-response Bias?

A

Individuals chosen from the sample for whom data cannot be obtained and may differ from those for whom data can be obtained.

21
Q

Factor

A

The explanatory variable to be manipulated

22
Q

Levels

A

various settings for a factor (specific values experimenter chooses for factor)

23
Q

Treatment

A

Actual Assignments given to subjects

24
Q

Experimental Units

A

The “unit” receiving the assigned treatment and the “unit” measured at the end.

25
Q

Subjects

A

If experimental units are human

26
Q

Retrospective

A

Historical Data

27
Q

Benefits of Random Assignment

A

Helps to balance the effects of uncontrolled variables so that the differences in responses can be attributed to the treatment and nothing else.

28
Q

Benefits of Blocking

A

By blocking, we isolate the variability attributable to the difference between blocks so that we can see the difference caused by treatments more closely.

29
Q

Statistically Significant

A

A difference in the response variable so large that it cannot be attributed to natural sampling variability

30
Q

Purpose of Control Group

A

Assigned to a baseline treatment level, typically either default treatment (provides a basis for comparison).