analysing categorical data Flashcards

(21 cards)

1
Q

What is the purpose of a Chi-Square (χ²) test?

A

To test whether the observed frequencies in categories differ from what we would expect by chance.

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2
Q

What is the null hypothesis (H₀) in a Chi-Square test?

A

That the observed frequencies are due to chance.

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3
Q

What is the alternative hypothesis (H₁) in a Chi-Square test?

A

That the observed frequencies reflect real differences between categories.

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4
Q

What are the two key assumptions of a Chi-Square test?

A

1) Independence of observations; 2) Expected frequencies must mostly be ≥ 5 and all > 1.

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5
Q

What happens if the assumptions of the Chi-Square test are violated?

A

The power of the test is reduced.

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6
Q

How can you address violations of expected frequencies in a Chi-Square test?

A

Use an exact test (e.g., Fisher’s), collapse categories, remove sparse levels, or collect more data.

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7
Q

What is a contingency table?

A

A table showing the frequency of occurrences for combinations of categories.

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8
Q

How do you calculate degrees of freedom for a Chi-Square test with one variable?

A

Degrees of freedom = number of categories − 1.

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9
Q

What does it mean if χ² observed > χ² critical?

A

The null hypothesis is rejected; the result is statistically significant.

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10
Q

How do you calculate expected frequency for two variables in a contingency table?

A

(Row total × Column total) ÷ Grand total.

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11
Q

What SPSS menu path is used for a Chi-Square test with one variable?

A

Analyze → Nonparametric Tests → Legacy Dialogs → Chi-Square.

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12
Q

What SPSS menu path is used for a Chi-Square test with two variables?

A

Analyze → Descriptive Statistics → Crosstabs.

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13
Q

What does the “Observed Count” in a Chi-Square output represent?

A

The actual number of observations in a category.

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14
Q

What does the “Expected Count” in a Chi-Square output represent?

A

The number of observations expected under the null hypothesis.

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15
Q

What is Cramer’s V or Phi used for in Chi-Square tests?

A

Measuring effect size or strength of association between variables.

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16
Q

How would you report a Chi-Square test with one IV in APA style?

A

“χ²(df) = value, p = value” (e.g., χ²(1) = 5.4, p = .02).

17
Q

How would you report a Chi-Square test with two IVs and effect size in APA style?

A

“χ²(df) = value, p = value, Cramer’s V = effect size” (e.g., χ²(1) = 5.44, p = .02, Cramer’s V = .301).

18
Q

When should you use a binomial test instead of a Chi-Square test?

A

When your variable has only two categories.

19
Q

What SPSS path is used for a binomial test?

A

Analyze → Nonparametric Tests → Legacy Dialogs → Binomial.

20
Q

How do you report a binomial test result in APA style?

A

“A binomial test indicated no significant difference (n₁ = x, n₂ = y, p = value).”

21
Q

What is the key difference between a Chi-Square and Binomial test?

A

Chi-Square is used for variables with more than two levels or two variables; Binomial is for single variables with exactly two levels.