[L7] Data from Independent Groups: Categorical Measures Flashcards

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1
Q

– can only take on one of a
limited number of values, often simply yes or no.

A

Categorical or Nominal data

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2
Q

– very rarely used as an appropriate measure of
central tendency.
* It does not tell much.

A

Mode

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3
Q
  • Three main ways of showing the difference between two
    proportions. (fourth one as well)
A

Absolute and Relative Change

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4
Q

All look very similar to each other and it is often not clear
which one people are talking about.

A

Absolute and Relative Change

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5
Q
  • We usually describe the % of people in each group and the
    differences between them.
  • We also get on to the 95% CIs.
A

Summary Statistics

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6
Q
  • Third way of showing the difference two proportions.
A

Odds Ratio

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7
Q

Trickier than percentages and proportions but most
common way.

A

Odds Ratio (OR)

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8
Q

Odds are always presented as

A

“something to one”.

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9
Q

First way is to look at the data is to use the

A

Absolute
Difference

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10
Q

The___ in the percentage of people who
took the antibiotic is 15%.

A

absolute reduction

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11
Q

Reduction in antibiotic use as a ___ of those in
the leaflet group

A

Proportion

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12
Q

So giving a leaflet reduces the chances that the person
will take antibiotics by 24%. This is the ____

A

Relative Risk
Decrease.

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13
Q

As a relative probability of taking the medicine, as a
proportion of those who would have ___

A

taken the medicine.

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14
Q

What are the odds of throwing a 6 on a die
/dice? Tricky because it is…

A

counter-intuitive

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15
Q

The odds are 5 to 1, or 5: 1. The event will not
happen___ that it does happen.

A

5 times for each time

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16
Q

If we know the ____, p, we can calculate the odds
using the following formula:

A

probability

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17
Q

Chi-square

A

Odds Ratio

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18
Q

Easier way of calculating the odds ratio.

A

OR = AD / BC

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19
Q

OR = AD / BC

A

distribution of frequency scores

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20
Q
  • One more method of presenting the effect of an
    intervention which is commonly used in medicine,
    though less commonly used in psychology
A

Number Needed to treat (NNT)

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21
Q

Also known as NNH or

A

number needed to harm.

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22
Q

The NNT is very easy to calculate. It is simply

A
  • NNT = 1 / Absolute Risk Difference
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23
Q
  • Although it is possible to compute for all the descriptive
    statistics that we calculated, most of them are rarely used
    so the only one we are going to concentrate on is the
    \
A

odds ratio.

24
Q

v, (Greek
letter nu, pronounced ___

A

“new” or “noo”)

25
Q

v is a bit like the ___of the odds ratio

A

standard error

26
Q

Odds ratio

A

raw score

27
Q

t-test

A

standardized score (d)

28
Q

convert OR to ____, to know if its difference is significant

A

chi-square

29
Q
  • Developed by Pearson and sometimes known as the
    Pearson χ² test.
A

Chi-Square χ²

30
Q

The first stage in the χ² test is to put the ___

A

values into a
table, but add totals to it.

31
Q
  • We have to calculate the ___for each cell,
    which are referred to as ___.
A

expected values , E

32
Q

The E are the values that we would
_
__,

A

expect if the null
hypothesis were true

33
Q

The expected values are given by:
__

A
  • E = R x C / T
34
Q

Where R refers to the___, C the ___, and T for____

A

total for a given row; total
for a given column; grand total.

35
Q

O = ___

A

Observed value

36
Q

All we need to know is the ____so we can take
the differences and add them up. (Almost but not quite)

A

distance between the
observed value and the expected value

37
Q

The difference needs to take account of the___

A

sample size

38
Q

χ² = Σ (O - E)² / E

A

similar, deviation score

39
Q

An assumption made by the χ² test is that all of the
expected values (in a 2 x 2 table) must be ___

A

greater than 5.

40
Q

chi-square critical value, sample

A
41
Q

Degrees of Freedom (df)

A
  • df = (number of rows – 1) x (number of columns – 1)
42
Q

If the table is larger than 2 x 2, then __ of the expected
values need to be above
__

A

80%; 5.

43
Q

If our data do not satisfy this assumption we can use the
___ instead.

A

Fisher’s exact test

44
Q

2nd, when we have a 2 x 2 table the χ² test is a little bit
__, and statisticians do not like liberal tests

A

liberal

45
Q

A
__- is slightly more prone to say that a result is
statistically significant than it should be, so the Type I
Error rate is not 0.05, but a little bit higher than that

A

liberal test

46
Q

One approach in dealing with this is to use ____

A

Yates’
Correction for Continuity or Continuity Correction

47
Q

The values contained within the bars means ___, which means if there is a minus sign
ignore it.

A

“take the
absolute value”

48
Q

The problem with Yates’ correction is that it makes the
test a little conservative so the ___is now
___

A

Type I Error rate; smaller than 0.05

49
Q

This in itself is not a problem, but it means that the test is
now ___, when it
should be giving one

A

less likely to give a significant result

50
Q

In fact, the correction only matters when the sample size
is ____

A

relatively small.

51
Q

So if the sample size is __, the correction makes little
difference.

A

large

52
Q

If the sample size is small, there is a better test we can
use called the
____

A

Fisher’s Exact test.

53
Q

The Idea of Fisher’s exact test is that for some events we
can work out the exact probability of them occurring
without needing to use ___

A

test statistics and tables.

54
Q

We can do the same thing for data which are in a___

A

2 x 2
contingency table.

55
Q

Fisher’s exact test gives the probability of getting the
___

A

exact result that was found in the study.

56
Q

However, we are not just interested in the exact result,
we are interested in any result that is ___

A

more extreme than
the result we have.

57
Q

Fischer, inspired by __, that led him to form a formula because his wife has a special talent to exactly pin point is a tea is made with tea first or tea

A

wife