inferential statistics Flashcards

(18 cards)

1
Q

What is the sign test used for

A

To determined whether the significance we have found in our research is significant

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2
Q

What must the researchers ensure so they can use the sign test

A
  • Test of difference (to see if the scores increase or decrease)
  • Repeated measures design
  • Nominal data (can be organised into categories +,-,0)
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3
Q

what is the accepted level of significance in psychology

and why

A

less than or equal to 0.05 or 5%

We need it to be less than 5% due to chance

It helps us strike a balance between a type 1 or type 2 error

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4
Q

What is the
S
N
and critical value

A

S value - calculated value (+/-) less frequent sign
N value - number of participants - any 0s= N value
Critical value - From the table of critical values

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5
Q

what type of tailed hypothesis is a directional and non directional

A

Directional - one tailed
non-directional - 2 tailed

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6
Q

How do you tell if the results are significant

A

The S value must be less than or equal to critical value for the results to be significant

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7
Q

What are the types of data/ Levels of measurement

A

Nominal
Ordinal
Interval

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8
Q

What is Nominal data

What can you find with it

A

The total number of participants falling into various categories.
- Least sophisticated way of measuring data
- E.g. tall or short, Fat or thin

Can be used to calculate the mode

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9
Q

What is ordinal data

What can you measure from it

A

The data consists of participants individual scores that can be placed in rank order E.g. Lowest to highest, satisfaction rankings
- It is measured on a scale of unequal intervals (people are subjective e.g. best and worst food)

Can be used to calculate the median

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10
Q

What is interval data

What can be measured by it

A

Data that have fixed interval and use internationally recognised forms of measurement e.g. IQ test, Class height order by cms
- No true 0 point

Can be used to calculate the mean

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11
Q

How do we work out what type of test we will be using
(3Ds)

A
  • Test of difference
  • Level of measurement (type of data)
  • Design
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12
Q

What are the different tests

A
  • Sign test
  • Chi-squared
  • Wilcoxon
  • Mann-Whitney
  • Spearman’s rank
  • Related t-test
  • unrelated t-test
  • Pearson’s
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13
Q

What designs are (Related)
and what are the tests of related:
- Nominal data
- Ordinal data
- Interval data

A

Repeated measures and matched pairs

Nominal - Sign test
Ordinal - Wilcoxon
Interval - Related T-test

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14
Q

What design is (unrelated)
and what are the tests of unrelated:
- Nominal data
- Ordinal data
- Interval data

A

Independent groups

Nominal - Chi-squared
Ordinal - Mann Whitney
Interval - U - related T

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15
Q

What deign is (correlation)
and what are the tests for correlation:
- Nominal data
- Ordinal data
- Interval data

A

Association/relationships

Nominal - chi-squared
Ordinal - Spearman’s rank
Interval - Pearson’s

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16
Q

What probability do we use to strike a balance between a type 1 and type 2 error

17
Q

What is a type 1 error and when can it occur

IS NOT

A

When you reject the Null hypothesis when it should have been accepted/kept
- The researcher falsely claims significance

  • Can occur when the probability is too high e.g. p<,10
18
Q

What is a type 2 error and when can it occur

NOT IS

A

When the Null hypothesis is accepted but should have been rejected
- The researcher falsely rejects significance
- Occurs in more strict situations e.g. p<, 0.01