Inferential testing Flashcards

(23 cards)

1
Q

What is a statistical test?

A

a calculation on data to determine which hypothesis to accept

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2
Q

Which hypothesis is accepted is results are significant

A

The experimental hypothesis

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3
Q

Which hypothesis is accepted is results aren’t significant

A

The null hypothesis

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4
Q

What factors are needed for a parametric test

A
  • interval level of measurement
  • data must have a normal distribution
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5
Q

What is nominal data?

A
  • when ppts are placed into
    categories
  • represented on a bar chart
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6
Q

What is ordinal data?

A

when ppts have a rough numerical score but proper units arent used

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7
Q

What is interval data?

A

info is scores using recognisable equal units

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8
Q

What is a strength of nominal data

A
  • easy to generate from closed questions
  • can generate alot of data quickly
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9
Q

What are limitations of nominal data?

A
  • data is unsophisticated as it doesn’t yield a numerical result
  • ppts are unable to express different degrees to a response
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10
Q

What is a strength of ordinal data

A

ppts are able to express different degrees to s response so data is more sensitive

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11
Q

What are limitations of ordinal data?

A
  • ## data lacks precision as its based on subjective opinion
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12
Q

What is a stregth of inteval data?

A
  • more precise than nominal data or ordinal data as its based on numerical scales that include units
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13
Q

When would you use the sign test

A

When level of measurement is nominal
and when experimental design is repeated measures or matched pairs

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14
Q

When would you use the chi squared test?

A

When data is nominal and if experimental design is independent measures or a correlation

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15
Q

When would you use a Wilcoxon test?

A

When data is ordinal and experimental design it repeated measures or matched pairs

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16
Q

When would you use a Mann whitney test?

A

What data is ordinal and experimental design is independent measures

17
Q

When would you use a spearmans rho test?

A

when data is ordinal and correlational

18
Q

When would you use a related t test?

A

When data is interval and the experimental design is repeated measures or matched pairs design

19
Q

When would you use an unrelated t test?

A

when data is interval and experimental design is independent measures

20
Q

When would you use a pearsons r test?

A

When data is interval and
correlational

21
Q

What is a one tailed test

A

used when the hypothesis is directional

22
Q

What is a two tailed test

A

used when hypothesis is non directional

23
Q

How do you use the sign test

A
  • use ‘-‘ and ‘+’ next to data which does/doesn’t support the hypothesis
  • if there’s no difference use 0 (omitted value)
  • add un the ‘-‘ and this is the S value
  • Calculate N by Counting the number of ppts and misusing the omitted values
  • find critical value on contingency table