reliability and Validity Flashcards

1
Q

what is validity

A

Related to whether a result is a true reflection of
‘real-world’ behaviour

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2
Q

internal reliability

A

Internal reliability refers to the consistency of a measure within itself. For example, the items on a questionnaire or questions in an interview should be testing the same thing.

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3
Q

external reliability

A

assesses consistency of a measure from one use to another. For example, if a participant took an IQ test one year, and then took the same test a year later and gained a very similar score, this would show external reliability.

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4
Q

interater reliability

A

measures the degree of agreement between different people observing or assessing the same thing. - when multiple researchers agree on a set of results

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5
Q

ecological validity

A

a measure of how test performance predicts behaviours in real-world settings

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6
Q

construct validity

A

how well a test or tool measures the construct that it was designed to measure.

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7
Q

population validity

A

whether you can reasonably generalise the findings from your sample to a larger group of people

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8
Q

reliability

A

Measure of consistency

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9
Q

are quantitative or qualitative methods more reliable

A

Quantitative methods – tend to be
most reliable Qualitative methods – less reliable

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10
Q

why do case studies and unstructured interviews have low reliability

A

Case studies and unstructured
interviews – difficult to repeat in the
same way

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11
Q

how can observations be made more reliable

A

one observer should
produce same observations if repeated
or two observers (interobserver
reliability)

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12
Q

why do closed question interviews and questionnaires have high reliability

A

same person should answer the q’s in the
same way, closed questions better for this

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13
Q

what type of experiment is most reliable and why

A

Lab exp’s – controlled and easy to
replicate

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14
Q

why might repeated measures have low validity and how could this be overcome

A

Repeated measures – order effects challenge
validity, overcome by counterbalancing

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15
Q

counterbalancing

A

With counterbalancing, the participant sample is divided in half, with one half completing the two conditions in one order and the other half completing the conditions in the reverse order.

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16
Q

why might independent measures lack validity and how could this be overcome

A

Independent groups – p’s variables challenge
validity, overcome by random allocation

17
Q
A