Independent one-way ANOVA Flashcards

1
Q

ANOVA

A

analysis of variance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

one-way ANOVA

A

used when we have 1 IV with MORE than 2 levels
- estimates whether the population means under the different levels of IV are different

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

independent one-way ANOVA

A

between participants

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

relation to t test

A

squared t-test statistic = F (one way anova result) for an IV with 2 levels

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Family wise error rate

A

the probability that at least one of a ‘family’ of comparisons, run on the same data, will result in a Type I error
…instead calculated a corrected significance level, expressing the probability of making a Type I error

c=comparisons
a= 0.05

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what do omnibus test, such as ANOVA, do?

A

control family wise error rate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

F statistic from one-way ANOVA

A
  • F value close to zero, small variance between relative to within
    and vice versa
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

sources of variance between IV levels for independent designs

A
  • manipulation of IV
  • individual differences
  • experimental error (random/constant)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

sources of variance within IV levels for independent designs

A
  • individual differences
  • experimental error (random)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

assumptions for independent one way ANOVA

A
  • normality
  • homogeneity of variance
  • equivalent sample size
  • independence of observations
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

normality

A

the DV should be normally distributed under each level of IV

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

homogeneity of variance

A

the variance in the DV under each IV level should be equivalent

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what if Levene’s statistic is significant

A

use Welch F statistic to correct this
- under Robust test of equality means in SPSS out-put

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what test do we use if we greatly violate the assumptions of the one-way independent ANOVA test

A

Kruskal Wallis test

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

large value of F

A

manipulation of IV has had a large effect

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

SPSS output one-way independent ANOVA

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Model Sum of Squares (SSm)

A

sum of squared differences between IV level means and grand mean
- reflected between IV level variance

18
Q

Residual Sum of squares (SSr)

A

sum of squared differences between individual values and corresponding IV level mean
- within IV level variance

19
Q

SSm + SSr =

A

SSt
sum of squares total

20
Q

how do we calculate mean square values

A

sum of squares / df

21
Q

how do we calculate F

A

mean square value for between groups / mean square value for within groups
- variance between / variance within

22
Q

d.f. for one way ANOVA independent between IV levels

A

d.f. model = k - 1
k = number of levels of IV

23
Q

d.f. for one way ANOVA independent within IV levels

A

d.f. residual = N - k
n = total sample size
k = number of IV levels

24
Q

secondary analyses for one-way independent ANOVA

A

post-hoc tests

.. what happens after omnibus test (ANOVA)

25
Q

post-hoc tests

A
  • used to analyse which IV level mean pairs differ
  • only when F value is significant
26
Q

Type I error

A

risk of incorrectly rejecting null hypothesis when population means are actually not different

27
Q

Type II

A

risk of failing to reject null when population means are actually different

28
Q

choice of corrections tabel

A

don’t need to memorize

29
Q

SPSS out-put post-hoc

A

example

30
Q

significant

A

if greater than 0.05

31
Q

the two different effect sizes for ANOVA

A
  • partial η^2
  • Cohen’s d
32
Q

partial η^2 (Eeta)

A

how much variance in the DV is explained by the manipulation of the IV overall

33
Q

Cohen’s d

A

the magnitude of the difference between pairs of IV levels

34
Q

effect sizes

A
35
Q

small partial η^2 effect size

A

> 0.01

36
Q

medium partial η^2

A

> 0.06

37
Q

large partial η^2

A

> 0.14

38
Q

partial η^2 formula

A
39
Q

Cohen’s d formula

A

do it separately for each combination of IV levels

40
Q

note

A

practice calculating partial eta squared by hand might be checked in a quiz