Factorial ANOVA Flashcards

1
Q

What is the main limitation of t-tests?

A

Only compares two means. Have to conduct more than one t-test. Increases family wise error/Type I error.

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2
Q

What are the main advantages of ANOVA?

A

Can compare lots of conditions at once.
Decreases chances of false positives.
Can be used with more than one IV + can see how they interact.

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3
Q

What is the main ANOVA rationale?

A

Systematic + unsystematic variation. Want to see how much overall variation is systematic vs unsystematic.
We want systematic to be larger than unsystematic.

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4
Q

What is the difference between within-group and between-groups variation?

A

Within-groups - not due to our manipulation.

Between-groups - our manipulation + random effects.

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5
Q

How do we know if our experimental manipulation has had an effect?

A

Between-groups > within-groups.

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6
Q

How do we calculate the effect of our manipulation in an independent ANOVA?

A

between-groups variance / within-groups variance.

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7
Q

What are the 2 main assumptions for an independent ANOVA?

A

Parametric test!
Normal distribution.
Interval/ratio level data.

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8
Q

Is normality more of a problem for one-tailed or two-tailed tests?

A

One-tailed.

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9
Q

What is a unique assumption for independent ANOVAs?

A

Homogeneity of variance.

Levene’s test.

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10
Q

What is a unique assumption for repeated measures ANOVAs?

A

Sphericity.
Mauchly’s test.
Variances of differences between conditions are similar.

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11
Q

When is homogeneity of a variance less of a problem?

A

When group sizes are equal.

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12
Q

What are the two main tests that can be used if homogeneity of variance is violated?

A

Brown-Forsythe.

Welch’s F.

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13
Q

Should Levene’s test and Mauchly’s test be significant or non-significant for the assumptions to be met?

A

Non-significant.

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14
Q

When do we use post-hoc tests?

A

When we have no specific hypothesis.

Use Bonferroni.

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15
Q

What are the main conservative post-hoc tests?

A

Bonferroni.

Scheffe.

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16
Q

What is the main less conservative post-hoc test?

A

Turkey HSD.

17
Q

What post-hoc test do we use when equal variances cannot be assumed?

A

Games-Howell.

18
Q

What does a more conservative post-hoc test mean?

A

Less chance of Type I error.

Higher chance of Type II error.

19
Q

What should you report for post-hoc tests?

A

P-value + look at means for direction of effect.

20
Q

What is a factorial ANOVA?

A

ANOVA with 2+ IVs.

21
Q

How do you calculate the number of interactions?

A

2(to the power of)k - k - 1.

Where k is the number of IVs.

22
Q

What is an additional interpretation we must make when conducting a factorial ANOVA?

A

We must look at the interaction graph.

23
Q

What is a 2x3x3 design?

A

Three IVs; 1st has 2 levels, 2nd and 3rd have 3 levels.

24
Q

What is the best way to report an ANOVA (give an example)?

A
(For a 2x3 design): 
A 2(Gender: male vs female) x 3(Dosage: low, medium and high) independent design.
25
Q

What effect size is used for a two-way repeated measures ANOVA?

A

Partial eta-squared.

26
Q

When do we use planned comparisons?

A

When we have a hypothesis.

27
Q

What statistics can we use if Mauchly’s test is violated?

A

Greenhouse-Geisser or Huynh-Feldt.

28
Q

What statistics do we report for planned comparisons?

A

F, df, p, np-squared.

29
Q

When is there a significant interaction in the interaction graph?

A

When the lines are crossing/non-parallel.

If the lines don’t cross then the relationship is non-significant.

30
Q

What is the interaction graph named?

A

The means plot.