Lecture 10 - Categorical Data Flashcards

0
Q

How is x^2 calculated?

A

The frequency of each mutually exclusive, exhaustive category is recorded and compared to the frequencies expected by chance:
X^2=E((obs f-exp f)^2/exp f)
This test statistic is them compared to critical values in a table using degrees of freedom (no. of categories – 1). We can reject H0 when x^2>=critical.

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1
Q

What is Chi square (x^2)?

A

A test for categorical data to determine how often observations fall into a particular category. It compares how many observations fall into a category with how many were expected based on a model
Also known as Pearson’s Chi-square

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2
Q

How does Chi-squared change when there is more than one IV?

A

The expected values are calculated as (row total x column total)/grand total, so that the row and column totals still hold true.
The degrees of freedom is calculated by (rows-1)(columns-1)

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3
Q

How do you carry out a Chi-squared test in SPSS?

A

For one IV:
Analyse|non-parametric tests|Chi-square

For multiple IVs:
Analyse|descriptive statistics|crosstabs, on next window click statistics and select x^2. In output, first box is about missing entries, 2nd counts per category and IV, 3rd is the useful stuff!

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4
Q

What assumptions does Chi-squared make?

A
  • the data are assumed to be a random sample
  • the expected frequencies for each category must be at least one and no more than 20% should be less than 5
  • he categories must be exhaustive and mutually exclusive
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5
Q

How can low expected frequencies be dealt with in a Chi-squared test?

A
  • categories can be collapsed

* small categories can be discarded or excluded (‘select cases’ on SPSS), which must then be declared with the results

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6
Q

What is the binomial test?

A

A statistical test used for data that can only have two values which, like the Chi-square, compares whether the frequency of occurrence for two values has some expected ratio.
Could be used to test heads/tails.

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7
Q

How do you do a binomial test in SPSS?

A

Analyse|non-parametric tests|binomial test

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