Data recording, analysis and presentation (methodological issues) Flashcards

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1
Q

definition of representativeness

A

sample : if the sample is diverse and includes people from different ages, genders, occupations, education levels, etc., it will be more representative of the (target) population

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2
Q

definition of generalisability

A

Result : if the sample used in the research is biased and not very diverse, the results cannot be generalised to everyone in the target population.

the extension of research finding and conclusion to large population

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3
Q

different type of reliability

A

Internal
External
Inter-rater
Test-retest
Split-half

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4
Q

definition of internal reliability

A

The consistency of a measuring device (e.g. Does it work
in a consistent [or standardised, and replicable] way
with all participants?)

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5
Q

definition of external reliability

A

The consistency of a study’s findings (e.g. Would the
same findings be obtained if the study was repeated? Is there a pattern to a study’s findings that has not been distorted by outliers?)

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6
Q

definition of split-half method to check reliability

A

Compare the score from one half of the questions (e.g. even number Qs) to the score for the other half
of the questions (e.g. odd number Qs) to see if participants scored consistently on both halves.

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7
Q

definition of test re-test method to check reliability

A

Giving the participants the same test/measure at a different point in time to check whether their two
scores are consistent

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8
Q

defintion of inter- rater reliability

A

Two or more observers record the behaviour, and then their results are compared to check the level of
agreement in their results (a high correlation between their scores of 0.8 or more would indicate high
inter-rater reliability).

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9
Q

types of internal and external validity

A

Internal
Face
Construct
Concurrent
Criterion

External
Population
Ecological

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10
Q

definition of face validity

A

Whether a test appears (on the face of it) to be measuring what it intends to

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11
Q

definition of concurrent validity

A

Where a test or study measure gives the same results as another test or study that is measuring the same concept

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12
Q

definition of criterion validity
(predictive validity + concurrent v)

A

Refers to how much one test or measure predicts future performance on another test or measure

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13
Q

definition of construct validity

A

Refers to whether a test or study
actually measures the concept it sets out to measure (and extraneous variables are controlled for)

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14
Q

defintion of population validity

A

Refers to the degree to which the
sample used in the research is
representative of a diverse group of
people (of different ages, genders,
occupations, education levels, etc.)

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15
Q

defintion of ecological validity

A

Refers to how accurately a piece of
research reflects real-life situations

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16
Q

demand characteristics

A

Demand characteristics occur when participants work out the aim of the research either because it
is obvious, or as a result of a repeated measures design being used. They may then change their
behaviour and act in the way they think the researcher wants them to act.

17
Q

social desirability

A

Social desirability refers to when participants change their behaviour to present an image of being a
good member of society or to fit into social norms, rather than showing their true behaviour

18
Q

researcher/observer bias

A

to the way the researcher collects and interprets the results of a
research. They may interpret behaviour based on their prior expectations and therefore this would lower the validity of the findings.

19
Q

researcher/observer effect(s)

A

the way that participants’ behaviour is influenced by the
presence (and their characteristics) of the researcher

20
Q

ethical considerations

A

Respect – informed consent, right to withdraw, confidentiality
Competence (operate within their capability, not giving advice beyond what they are qualified to give)
Responsibility – protection of participant, debrief
Integrity – deception

21
Q

How can you explain how subjectivity affects reliablity and validity

A

If results are open to interpretation there is a chance that different researchers will interpret the results differently, therefore there will not be consistency in this interpretation (low inter-rater reliability)

There is a chance the interpretation of results is incorrect and you therefore are not getting results that are accurate.