One-Way ANOVA Flashcards

1
Q

What is the aim of a One-Way ANOVA?

A

To partition variance to see if the variance due to experimental manipulation is proportionally larger than the rest of the variance (error)

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2
Q

What is variance?

A

The spread of scores around the mean

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3
Q

What is error variance?

A

Random variance AND variance due to unmeasured influences

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4
Q

What is treatment variance?

A

Systematic differences due to the IV

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5
Q

How is total variance partitioned in a one-way ANOVA

A

Into between-groups variance and within-groups variance

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6
Q

What is between-groups variance?

A

Systematic variance due to membership in difference treatment groups

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7
Q

What is within-groups variance?

A

Error variance (averaged from both samples; pooled)

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8
Q

What does between-groups variance measure?

A

The distribution of group means around the grand mean

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9
Q

What does within-groups variance measure?

A

The distribution of individual DV scores around the group mean

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10
Q

What is the null hypothesis for a one-way ANOVA?

A

µj = µ.

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11
Q

What is the alternate hypothesis for a one-way ANOVA?

A

µj ≠ µ.
for at least one group

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12
Q

Conceptually, what is the formula for between-groups variance?

A

The squared sum of the differences between groups means and the grand mean, considering the number of observations in each group

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13
Q

Conceptually, what is in the formula for within-groups variance?

A

The squared sum of the differences between individual scores and the group mean

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14
Q

What is the test statistic for one-way ANOVA and how is it calculated

A

F-ratio = MStreat/MSerror

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15
Q

When will the F-ratio be more than 1 (significant)?

A

When MStreat is bigger than MSerror
When the between-groups variance is bigger than the within-groups variance

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16
Q

What does MStreat represent?

A

The between-groups variance

17
Q

What does MSerror represent?

A

The within-groups variance

18
Q

What are the steps in a one-way ANOVA?

A
  1. Estimate between-groups variability
  2. Estimate within-groups variability
  3. Weight each estimate by the number of observations used to generate the estimate (degrees of freedom)
  4. Compare the ratio (MStreat/MSerror)
19
Q

What is on the numerator of the F-ratio?

A

MStreat

20
Q

What is on the denominator of the F-ratio?

A

MSerror

21
Q

What is the df for MStreat?

A

no. of groups - 1
(j - 1)

22
Q

What is the df of MSerror?

A

no. of groups * (no. of scores in each group - 1)
j (n - 1)

23
Q

Conceptually, what is the structural model of a one-way ANOVA?

A

An individual DV score is:
The grand mean
The effect of being in the jth group (between-groups variability)
Error for i person in the jth group (within-groups variability)

24
Q

What is the long range average of a statistic?

A

The expected value of a statistic

25
Q

What are the expected mean squares?

A

The expected value of MStreat and MSerror

26
Q

What is the expected mean square of MSerror?

A

The population variance

27
Q

What is the long range average of MStreat?

A

The population variance plus the long-range average of the variance between sample means considering the number of observations in each group

28
Q

What is the expected mean square of MStreat when the group means don’t vary?

A

The population variance/ MSerror