Measurment Error Confounds Flashcards

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
Q

Random sample

A

each member of the population has an equal chance of being selected
usually quasi-random

26
Q

Systematic

A

draw from the population at fixed intervals, problematic in populations with a periodic function

27
Q

Stratfied sample

A

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
Q

Cluster sample

A

reseracher samples an entire group or cluster from the population ofi nterest

29
Q

opportunity/Conveniece sample

A

people who are available atm

30
Q

Snowball sampling

A

recruit a small number of participants and then use those initial contacts to recruit further participants

31
Q

Reactivity

A

Awareness they’re being observed may alter behaviour