Lecture 16 factorial anova interactions practice
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Lecture 16: Factorial ANOVA Interactions Practice. Laura McAvinue School of Psychology Trinity College Dublin. Recall Eysenck’s Study.

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Lecture 16: Factorial ANOVA Interactions Practice

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Lecture 16 factorial anova interactions practice

Lecture 16:Factorial ANOVA InteractionsPractice

Laura McAvinue

School of Psychology

Trinity College Dublin


Recall eysenck s study

Recall Eysenck’s Study

Eysenck was interested in the effects of Age & Depth of Processing on Recall. He obtained a sample of 60 old & young participants and randomly assigned them to three groups. All three groups were given a list of words to study. The first group was asked to count the number of letters in each word, the second group was asked to think of an adjective that could be used with the word and a third group was asked to form an image associated with the word.


The data

The Data


Factorial anova

Factorial ANOVA

  • This factorial ANOVA will allow us to investigate three kinds of effects. What are these?

    • Main effect due to Age

    • Main effect due to Learning Condition

    • Interaction between Age & Learning Condition


Run the factorial anova

Run the Factorial ANOVA

  • Dependent variable = Recall

  • Independent variables = Age & Learning Condition

  • Ask for descriptive statistics

  • Ask for homogeneity of variance test

  • Ask for profile plot of the means


Check the assumptions

Check the Assumptions

  • Is Levene’s statistic significant?

    • Yes!

  • What can we conclude from this?

    • We cannot assume equality of variance among the groups

    • Results of ANOVA may not be valid


Examine the output

Examine the Output

  • Is there a main effect of age?

    • Report this

  • Is there a main effect of Condition?

    • Report this

  • Is there an interaction between Age & Condition?

    • Report this


What does the anova tell us

What does the ANOVA tell us?

  • Main effect of age

    • F (1, 54) = 11.08, p = .002

  • Main effect of Condition

    • F (2, 54) = 47.726, p < .001

  • Interaction between Age & Condition

    • F (2, 54) = 4.012, p = .024


Simple effects

Simple Effects

  • What is a main effect?

    • The effect of one independent variable averaged across the levels of the other independent variable

    • The effect of one independent variable ignoring the other variable

  • What is a simple effect?

    • The effect of one variable at one level of another variable

  • Should we do an analysis of simple effects here?

    • Yes!

  • Why?

    • Because there is a significant interaction between Age & Condition

    • In order to tease apart the interaction


What are the simple effects we can analyse

What are the Simple Effects we can analyse?

  • The effects of Age at each level of Learning Condition

    • The effect of age under counting condition

    • The effect of age under adjective condition

    • The effect of age under imagery condition

  • The effects of Learning Condition at each level of Age

    • The effect of learning condition for young participants

    • The effect of learning condition for old participants


Lecture 16 factorial anova interactions practice

Split File

Organise output according to Learning Condition

One Way ANOVA with Recall as the dependent variable & Age as the independent variable

Split File

Organise output according to Age

One Way ANOVA with Recall as the dependent variable and Learning Condition as the Independent variable

Simple Effects of Age at each Level of Learning Condition

Simple Effects of Learning Condition at each Level of Age


Simple effects anova table

Simple Effects ANOVA Table


Simple effects anova table1

Simple Effects ANOVA Table


Find the critical f values for each simple effect

Find the Critical F Values for each Simple Effect

  • Use the F Distribution Table…

  • Critical value for simple effects of age

    •  = .05, 4.02

    •  = .01, 7.12

  • Critical value for simple effects of Condition

    •  = .05, 3.17

    •  = .01, 5.01


Simple effects anova table2

Simple Effects ANOVA Table


Interpretation

Interpretation

  • Explain the effects of Age & Learning Strategy on Recall, drawing on the results of the ANOVA to back up your explanation.

  • Are there any further analyses that you think might be required?

    • posthoc


Example 2 anova interactions dataset

Example 2: ANOVA Interactions Dataset

  • Examine the dataset…

  • What is the dependent variable?

    • ‘tpstress’, perceived stress

  • What are the independent variables?

    • ‘sex’ & ‘age’

  • What are the levels of each variable?

    • Sex = male / female

    • Age = 18-29 / 30-44 / 45+

  • What do you think this study is investigating?

    • The effects of sex & age on perceived stress


Run the two way factorial anova

Run the Two Way Factorial ANOVA

  • Ask for descriptives, homogeneity test & a means plot


Have a look at the means plot

Have a look at the means plot

  • Main effect of sex?

  • Main effect of age?

  • Interaction?


Have a look at the results of the anova

Have a look at the results of the ANOVA

  • Main effect of sex?

  • Main effect of age?

  • Interaction?


Interpretation1

Interpretation

  • Are any other analyses required?

  • Explain the results of the study in your own words.


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