using repeated measures analysis of variance (rm-anova) to

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Using Repeated Measures Analysis of Variance (RM-ANOVA) to Analyse Event-Related Potential Data Harwintha Y. Anjarningsih Statistics and Methodology Seminar 8 April 2009

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Page 1: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Using Repeated Measures Analysis of Variance (RM-ANOVA) to Analyse

Event-Related Potential Data

Harwintha Y. Anjarningsih

Statistics and Methodology Seminar

8 April 2009

Page 2: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Outline:Outline:

• What is ERP?

• The example experiment

• Why is RM-ANOVA used?

• Important issues in RM-ANOVA

• Results of the experiment

• My own future experiment

Page 3: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

What is ERP?What is ERP?

He often eats dinner with his

bicycle.

He often eats dinner with his

family.

Page 4: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

The brain’s electrical activity that results

from specific sensory, cognitive, or motor

events

Page 5: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

The example experimentThe example experiment

• An EMCL thesis by Hua Dong• Just the P600 part (syntactic violations)• Stimuli:• HG: De scheikundige begrijpt niets van de

nieuwe weegschaal en hij roept zijn vrouw om hulp.

• HU: De scheikundige begrijpt niets van de nieuwe weegschaal en *hij roep zijn vrouw om hulp.

• LG: Marnix is keihard met zijn neus op de tafel geklapt en hij stelpt de bloeding met een papieren zakdoek.

• LU: Marnix is keihard met zijn neus op de tafel geklapt en *hij stelp de bloeding met een papieren zakdoek.

Page 6: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Independent variables (IV):

1. grammaticality

2. frequency

3. lateralization (left or right)

4. electrode position (anterior, middle, or posterior)

2 X 2 X 2 X 3

Dependent variable: amplitude of ERP

component in the 500-700 ms window

Page 7: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Electrode position and lateralization

ROIs

Page 8: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Participants : 36 college students

native speakers of Dutch

right handed without any history of

neurological trauma, language

disorders, or alcohol abuse

Page 9: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Materials:

• 160 verbs (80 H, 80 L)

• Put in the second clause in compound sentences

Page 10: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Why is RMWhy is RM--ANOVA used?ANOVA used?

• Within-subject or repeated measures design

• Compare more than two independent variables with one dependent var.

• Avoid inflated error rates and hence greater power to detect effects

Page 11: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

WithinWithin--subject or repeated subject or repeated measures designmeasures design

• The same people exposed to different experimental manipulations (HG, HU, LG, LU)

• Scores are not independent →cannot use between-group ANOVA →

but check sphericity

Page 12: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Compare more than two IVs Compare more than two IVs with one DVwith one DV

1. grammaticality

2. frequency

3. lateralization (left or right)

4. electrode position (anterior, middle, or posterior)

→ cannot use t-test or independent/ between-subject ANOVA

→ cannot use MANOVA

Page 13: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Avoid inflated error ratesAvoid inflated error rates

• Three groups to be compared using t-test→ 1 and 2, 1 and 3, and

2 and 3

• Each uses 0.05 level of significance → overall probability of no Type I error is 0.95 * 3 = 0.875 →probability of making at least one Type I error is 1 – (0.95 * 3) = 0.143 or 14.3 %

Page 14: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Important issues in RMImportant issues in RM--ANOVAANOVA

•Sphericity

•Corrections

Page 15: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

SphericitySphericity

• Equality of the variances of the differences between treatment levels (ε)

Variance 17.0 10.3 10.3

7103202730

275283035

105-5203025

330121515

52-37129

B-CA-CA-BGroup CGroup BGroup A

Page 16: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

• In SPSS → check Mauchly’s test → if test statistic is significant (e.g. 0.05) we need to do corrections

Page 17: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

CorrectionsCorrections

• Greenhouse-Geisser

• Huynh-Feldt

Page 18: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Results of the experimentResults of the experiment

Page 19: Using Repeated Measures Analysis of Variance (RM-ANOVA) to
Page 20: Using Repeated Measures Analysis of Variance (RM-ANOVA) to
Page 21: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

• Main effect of grammaticality (p=.000, partial η2.367)

• Main effect of lateralization (p=.012, partial η2 0.183)

• Marginal main effect of electrode position (p=.058 GG, .052 HF, partial η2=.102)

• Interaction between grammaticality and electrode position (p=.000, partial η2

.526)• Interaction between grammaticality and lateralization (p=.000, partial η2 .435)

Page 22: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Main effect of grammaticalityMain effect of grammaticality

Page 23: Using Repeated Measures Analysis of Variance (RM-ANOVA) to
Page 24: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Main effect of lateralizationMain effect of lateralization

Page 25: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Marginal main effect of Marginal main effect of electrode positionelectrode position

Page 26: Using Repeated Measures Analysis of Variance (RM-ANOVA) to
Page 27: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Conclusion of the example Conclusion of the example exp.exp.

• Subject-verb violations in Dutch elicited the P600 component in the 500-700 ms. window.

• This seems to be independent of frequency of the verbs.

• The component is right-lateralized with more activation in the middle electrodes.

Page 28: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

My future experimentMy future experiment

• Time reference in Indonesian temporal adverbs & aspectual adverbs

• Processing difference

semantic violations to lexical adverbs,

syntactic violations to aspectual

adverbs

Page 29: Using Repeated Measures Analysis of Variance (RM-ANOVA) to

Ayah saya sudah membaca koran.

Father my already read a newspaper.

Baru saja ayah saya membaca koran.

Just now father my read a newspaper.