choosing a statistical test - A-level Flashcards

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1
Q

statistical test definition

A

used to determine is a significant difference or correlation exists, and consequently if the null hypothesis should be accepted or rejected

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2
Q

sign test defintion

A

statistical test used for a difference in scores between two related items. data should be at least nominal

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3
Q

levels of measurement definition

A

quantitative data can be classified into types or levels of measurement such as nominal, ordinal or interval

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4
Q

spearman’s rho definition

A

a test for a correlation when data is at least ordinal level

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5
Q

person’s r definition

A

a parametric test for a correlation when data is at interval level

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6
Q

wilcoxon definition

A

test for a difference between two sets of scores. data should be at least ordinal and use a related design

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7
Q

mann- whitney definition

A

test for a difference between two sets or scores. data should be at least ordinal and use an unrelated design

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8
Q

related t-test definition

A

parametric test for a difference between two sets of scores. data must be interval level with a related design such as repeated measures or matched pairs

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9
Q

unrelated t-test

A

parametric test for a difference between two sets of scores. data must be interval level with an unrelated design

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10
Q

chi-squared definition

A

test for an associated between two variables or conditions. data should be nominal level using and unrelated design

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11
Q

what do the results of a stats test show

A

is the null hypothesis should be accepted or rejected and therefore if the difference is statistically significant

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12
Q

what factors are needed when deciding to use a statistical test

A

-if it is a difference or correlation
-in the case of difference, what experimental design is being used
-level of measurement

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13
Q

how can you tell if it is a difference or correlation

A

from the wording of the hypothesis

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14
Q

what designs are related designs

A

repeated measures and matched pairs

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15
Q

what designs are unrelated designs

A

independent groups

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16
Q

how many conditions do repeated measures participants do

A

all conditions

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17
Q

how many conditions do matched pairs do

A

one condition but are matched on a variable making them related

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18
Q

how many conditions do independent groups do

A

one condition

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19
Q

conditions for chi-squared

A

-test of difference
-unrelated design
- nominal data

20
Q

conditions for mann-whitney

A

-test of difference
-unrelated design
-ordinal data

21
Q

conditions for unrelated t-test

A

-test of difference
-unrelated design
-interval data

22
Q

conditions for sign test

A

-test of difference
-related design
-nominal data

23
Q

conditions for wilcoxon

A

-test of difference
-related design
-ordinal data

24
Q

conditions for related t-test

A

-test of difference
-related design
-interval data

25
Q

conditions for chi-squared

A

-correlation
-nominal data

26
Q

conditions for spearman’s rho

A

-correlation
-ordinal data

27
Q

conditions for interval data

A

-correlation
-interval data

28
Q

what test?
-test of difference
-unrelated design
- nominal data

A

chi-squared

29
Q

what test?
-test of difference
-unrelated design
-ordinal data

A

mann-whitney

30
Q

what test?
-test of difference
-unrelated design
-interval data

A

unrelated t-test

31
Q

what test?
-test of difference
-related design
-nominal data

A

sign test

32
Q

what test?
-test of difference
-related design
-ordinal data

A

wilcoxon

33
Q

what test?
-test of difference
-related design
-interval data

A

related t-test

34
Q

what test?
-correlation
-nominal data

A

chi-squared

35
Q

what test?
-correlation
-ordinal data

A

spearman’s rho

36
Q

what are the 3 levels of measurement

A

-nominal
-ordinal
-interval

37
Q

how is nominal data represented

A

in the form of categories

38
Q

is nominal data discrete

A

yes as only that one item can appear in one of the categories, for example if asked to name favourite football player the vote only appears in one category

39
Q

how is ordinal data represented

A

rating scales

40
Q

what is ordinal data

A

does not have equal intervals between each unit. lacks precision as is based on subjective opinion not an objective measure such as what is 4 and 8 on rating scale will mean different things to different people

41
Q

how is ordinal data ude sin an IQ test

A

questions are derived from view of what constitutes intelligence rather than any universal measurement

42
Q

how are questionnaires and psychological test using ordinal data

A

do not measure something real as do not measure physical entities and measure psychological constructs

43
Q

why is ordinal data sometimes referred to as ‘unsafe’ data

A

lacks precision, due to unsafe nature is not used in statistical testing and instead raw scores are converted to ranks and the scores are not used in the calculation

44
Q

what is interval data

A

based on numerical scales that include units of equal, precise and defined size

45
Q

why is interval data ‘better’ than ordinal data

A

detail is preserved

46
Q

what sort of things is ordinal data used for

A

take measurements with things such as a stopwatch or thermometer that produce measurements based on accepted units of measurements

47
Q

precision of interval data

A

most precise and sophisticated form of data in psychology and is necessary for parametric tests