L14 - FRIEDMANS ANOVA Flashcards

(22 cards)

1
Q

What type of test is Friedman’s ANOVA?

A

A non-parametric test using ordinal level data (ranks)

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2
Q

When is Friedman’s ANOVA used?

A

For repeated measures designs with 3 or more conditions on the same participants

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3
Q

What is the non-parametric equivalent of the repeated measures t-test for 2 groups?

A

Wilcoxon Signed-Rank Test (WST).

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4
Q

What is Friedman’s ANOVA an alternative to?

A

Repeated measures one-way ANOVA when assumptions of parametric tests are violated.

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5
Q

What is a key assumption of repeated measures ANOVA regarding the dependent variable?

A

The dependent variable needs to be normally distributed.

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6
Q

What corrections can software like JASP provide when the sphericity assumption is violated in repeated measures ANOVA?

A

Greenhouse-Geisser and Huynh-Feldt corrections adjust degrees of freedom to reduce Type 1 error.

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7
Q

What are three options if the assumption of sphericity is violated?

A
  • Continue with one-way ANOVA (it may be robust enough)
  • Perform data transformations (e.g., log, square-root)
  • Use a non-parametric test (e.g., Friedman’s ANOVA)
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8
Q

: Describe the example with the Year 5 teacher using Friedman’s ANOVA.

A

The teacher tested pupils’ multiplication performance over 3 months (Sept, Oct, Nov), with 6 tests each month, to see if performance improved.

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9
Q

If Participant 8 scored 72 in month 1, 74 in month 2, and 55 in month 3, what are the ranks?

A

Month 3 = 1 (lowest score), Month 1 = 2 (2nd highest), Month 2 = 3 (highest).

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10
Q

How can you check if data is normally distributed?

A

Eyeball a histogram for a bell-shaped curve (subjective)

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11
Q

What objective measures can help assess normality?

A

Skewness, kurtosis, and tests for deviation from a normal distribution.

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12
Q

What does a non-significant Shapiro-Wilk result mean?

A

The sample distribution likely does not differ from a normal distribution (i.e., data is likely normal).

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13
Q

Why should you be cautious interpreting Shapiro-Wilk results with large samples?

A

: Large samples can yield significant results for minor deviations from normality.

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14
Q

What should you do alongside Shapiro-Wilk to decide on the right test?

A

Plot the data and visually inspect it before deciding

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15
Q

What is sphericity in repeated measures ANOVA?

A

The variances of the differences between all conditions should be roughly equal

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16
Q

How do you test for sphericity?

A

Using Mauchly’s Test of Sphericity.

17
Q

What if Mauchly’s test is significant?

A

Apply corrections like Greenhouse-Geisser or Huynh-Feldt, or use Friedman’s ANOVA.

18
Q

Which software automatically tests for sphericity?

19
Q

In statistical analysis, when should you use the Mann-Whitney U test?
A. When comparing means of two independent groups with normally distributed data.
B. When comparing the ranked scores of two independent groups with non-normally
distributed data.
C. When dealing with paired observations and a small sample size.
D. When analyzing the variance between multiple groups.

20
Q

What is the non-parametric alternative to a repeated measures t-test?
A. Mann-Whitney U
B. Friedman’s ANOVA
C. Kruskal Wallis
D. Wilcoxan-signed ranks

21
Q

When would a Kruskal Wallis test be used?
A. When you have one IV with three levels and a between-subjects design
B. When you have one IV with two levels and a between-subjects design
C. When you have one IV with three levels and a within-subjects design
D. When you have one IV with two levels and a within-subjects design

22
Q

When would you report Friedman ANOVA results?
A. H (2) = 7.6, p = .022, η2 = .382
B. ² (2) = 7.6, p = .022, Kendall’s ω2 = .382
C. U = 7.6, p = .022, r = .382
D. T (12) = 9, p = .01, r = .77