Measurment Error Confounds Flashcards

(31 cards)

1
Q

Random error

A

Obscures results

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2
Q

Constant error

A

Biases results

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3
Q

Extranious variables

A

Variables out of the scientist control

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4
Q

Confounding variables

A

Extranious varaibles that disproportionately affect one level of the IV more than the other

Introduce treat to internal validity

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5
Q

Selection

A

Bias resulting from selection or assignments of participnats to different levels of the IV

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6
Q

History

A

Uncontrolled events that take placce between testing occassions

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7
Q

Maturation

A

Intrinsic chnages in the characteristic of participants between different test occassions

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8
Q

Instrumentation

A

Changes in the sensitivity or reliability of measurment instrument during the course of the study

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9
Q

Reactivity

A

Awarness that they are being observed altering behaviour

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10
Q

Precision

A

Exactness (consistency)

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11
Q

Accuracy

A

Corectness (truthfulness)

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12
Q

Reliability :precision (consistency)

A

The extent to which our measure would provide the same result under the same conditions

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13
Q

Validity(accuracy or truthfulness)

A

The extent to which it is measuring the construct we are interested in

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14
Q

Test-retest reliability

A

Measures flactuations from one time to another

Beware of order effect

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15
Q

Inter-rater reliability

A

Measures flatuations between observers

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16
Q

Parallel forms reliability

A

If we administer different versions of our measure to the same participants would we achieve the same results?

Beware of order effect

17
Q

Internal consistency

A

determines whether all items (ex: in a quesionnaire) measure the same construct

bewre of order effect

18
Q

Content Validity

A

Does our test measure the construct fully

19
Q

Face validity

A

does it look like a good test

20
Q

Criterion Validity

A

Does our measure give results which are in agreement with other measures of the same thing? (aka previous studies)

Concurent - comparison of new test with established test
Predicitve - does the test predict outcome on another variable

21
Q

Construct validity

A

Is te construct we’re trying to measure valid?

22
Q

Convergent validity

A

Connected to tests of the same and related constructs

23
Q

Discriminant validity

A

doesn’t have a connection with test of different or unrelated constructs

24
Q

True Causation

A

It can only be established when neccesity and sufficiency criteria have been satisfied

25
Random sample
each member of the population has an equal chance of being selected usually quasi-random
26
Systematic
draw from the population at fixed intervals, problematic in populations with a periodic function
27
Stratfied sample
Proportional: specified groups appear in numbers proportional to their size in the population Disproportional: specified groups which ar not equally represented in the population are selected in equal proportions
28
Cluster sample
reseracher samples an entire group or cluster from the population ofi nterest
29
opportunity/Conveniece sample
people who are available atm
30
Snowball sampling
recruit a small number of participants and then use those initial contacts to recruit further participants
31
Reactivity
Awareness they're being observed may alter behaviour