Reliability and Validity Flashcards

1
Q

What’s universalism?

A

Assumption that principles in psychology won’t vary
Findings will apply anywhere irrespective of their geographical location, culture and gender

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2
Q

What’s a two tailed significance level?

A

2 outcomes in a positive and negative direction
This is for non directional hypothesis

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3
Q

What’s a one tailed significance level?

A

This is for a directional hypothesis
Only one outcome is predicted

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4
Q

What is statistical significance?

A

.05 (5%)
Due to chance 5 times out of 100
This value or lower to be significant

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5
Q

What’s generalisability?

A

Means that we can take the results of a study and apply it to the broader population of interest

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6
Q

What’s reliability?

A

the consistency
the same answer every time

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7
Q

What’s validity?

A

the test measures what it is intended to test
the accuracy

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8
Q

What are the types of reliability?

A

Over time
Internal consistency
Across researchers

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9
Q

What is over time reliability?

A

How stable our measures are over time
e.g. a measure at time A should give a similar result to time B

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10
Q

What is internal consistency in reliability?

A

How well items on an individual scale measure the same construct
e.g. items on a questionnaire measuring levels of depression should give similar answers

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11
Q

What is across researchers reliability?

A

How consistent ratings are across different individual researchers
Results should be the same irrespective of how they’re recording the data

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12
Q

What is test retest reliability?

A

Useful for constructs that are stable over time
Constructs that aren’t stable across time can’t be assessed for test retest reliability as they’re unstable by their own nature e.g. mood
Measure at time 1, then again at Time 2, do the tests product similar answers at both times?

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13
Q

What correlation indicates good reliability?

A

> +.80

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14
Q

How can we test internal consistency?

A

split half reliability (calculate a score for the first half of the items and the second half, check if the scores in each half are similar)

odd even reliability (calculate a score for the odd numbered items and for the even numbered items, check if the scores are similar)

Chronbach’s alpha (check for correlations of every possible half with every other half, take the average, positive correlation means more reliable)

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15
Q

How can reliability across researchers be tested?

A

Researchers observe ps and rate the behaviours
Check if different researchers rate the behaviours in the same way
Percentage agreement

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16
Q

What are the types of validity?

A

Construct validity (does our measure relate to the construct we are interested in)
Statistical validity (are our statistical methods accurate)
Internal validity (do the observed relationships include only the intended variables)

17
Q

How can we test construct validity?

A

Constructs can’t be observed directly so we measure them indirectly
We operationalise constructs
Convergent validity (compare our measure with other measures designed to assess the same construct)
Divergent validity (compare our measure with measures designed to assess something different)

18
Q

How can we improve statistical validity?

A

Linked strongly to study design
A great study design, leads to great statistical analysis
Adequate sample size
Correct statistical test used
Statistics performed and reported correctly
Adequate control of error

19
Q

What are type 1 and type 2 errors?

A

Type 1: claiming we found an effect when there isn’t one, false positive
Type 2: claiming we didn’t find an effect when there is one, false negative

20
Q

How can we improve internal validity?

A

Control for extraneous and confounding variables

21
Q

What factors affect validity?

A

order effects
sample size
sampling technique
experimenter effects
demand characteristics
hawthorne effect (ps change their behaviour as they know they’re being observed)
history (unrelated events might affect outcomes)