Session 6 - Crosstabulations Flashcards

1
Q

Cross tabulation used for, AKA

A

Used for 2 categorical variables (can be binary)
Also known as a contingency table, or cross-tabulation
Can calculate row, column %s and look for trends

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2
Q

Chi-squared test for association

A

Chi - squared - Find for each CELL the frequency expected if H0 were true - using the row and column totals then distributing evenly

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3
Q

Chi squared - Expected frequency calculation if H0 true

A

(Row total x column total) / grand total
Looking for evidence for (or against) ANY association

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4
Q

Comparing observed and expected frequencies in chi-squared table

A

Sum of all squares the (observed frequency-expected frequency)squared / expected frequency

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5
Q

ch-squared distribution

A

graph of probability densities - shape depends upon degrees of freedom
allows identification of 5% cut off for statistical significance

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6
Q

How may degrees of freedom for a contingency table? (chi squared)

A

(number of rows-1)x(number of columns-1)

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7
Q

Observation from a chi-squared distribution is denoted as

A

χ2 (also often mention degrees of freedom)

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8
Q

Significance of χ2

A

Use table of degrees of freedom vs probablility that tabulated value is exceeded, to compute if χ2 is significant (<0.05 probability) or not
Computer will do this

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9
Q

Chi squared test considerations

A

Is NOT an index of the strength of association - if we double the frequencies, the χ2 will double, but strenght is unchanged
It is a test for large samples - the smaller the expected values, the more dubious the results

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10
Q

chi-squared is valid if…

A

At least 80% of the expected frequencies exceed 5
AND
All the expected frequencies exceed 1

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11
Q

2 options if assumptions not met for chi-squared

A

combine or delete rows / columns
or
uses fisher’s exact test

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12
Q

Fisher’s exact test

A

Calculate the probability of every possible table
with the given row and column totals
Only used to be used for small samples in 2 by 2
tables, because of computing problems but can
be used with any sample size (no assumptions!)
Will give a p-value
Like chi-squared - tests for ‘any association’

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13
Q

Chi-squared test for Linear Association used if

A

IF there is a natural ordering to categories - looks for a trend from one end of the table to the other
eg categories of improvement

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14
Q

Linear by linear association test on SPSS is…

A

Mantel-Haenszel linear-by-linear association chi-squared test

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15
Q

Assumptions for linear by linear chi-squared

A

At least 30 observations
Both variables have meaningful, ordered categories

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16
Q

Chi-squared test for linear association is a more powerful test against…

A

More restricted null hypothesis