Week 6 Flashcards

(45 cards)

1
Q

What is ANOVA?

A

Analysis of Variance, a parametric test that compares mean scores across conditions with 2 or more conditions

ANOVA is an extension of a t-test.

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2
Q

What is a FACTOR in ANOVA?

A

The independent variable in a study

Example: In a study of drink type on reaction time, drink type is the factor.

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3
Q

What is a LEVEL in ANOVA?

A

The separate conditions present within the factor

For example, caffeinated coffee, decaf, and water are three levels of the factor ‘drink type’.

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4
Q

What defines a One-way ANOVA?

A

An ANOVA with only one factor consisting of any number of levels, requiring independent samples for each level

Example: One group drinks caffeinated coffee, another drinks decaf, and a third drinks water.

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5
Q

What are the assumptions of ANOVA?

A

Homogeneity of variance, normally distributed data, and continuous dependent variable

Example of dependent variable: revision time measured in hours.

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6
Q

What happens when assumptions of ANOVA are violated?

A

ANOVA is robust with equal group sizes but not with unequal numbers

Equal group numbers can help with violation of homogeneity of variance.

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7
Q

What does a Two-way ANOVA involve?

A

An ANOVA with two or more factors

Example: drink type and quality of sleep as factors in a study.

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8
Q

What are the types of ANOVA by design?

A

Within-Subjects, Between-Subjects, Mixed Designs

These determine how data is entered into SPSS and what type of ANOVA is selected.

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9
Q

What are the three statistics obtained from a Two-way ANOVA?

A

Main effect of IV1, main effect of IV2, and interaction between IV1 and IV2.

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10
Q

What is a research question for a Two-way ANOVA example?

A

Is there a significant difference in statistic test scores based on caffeine and sleep?

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11
Q

What are the levels of the independent variables in the caffeine and sleep example?

A

Caffeine: 3 levels (coffee, decaf, water); Sleep: 2 levels (slept, not slept).

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12
Q

What is a main effect in ANOVA?

A

The difference in the dependent variable between the conditions of an independent variable.

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13
Q

What does a significant main effect of drink indicate?

A

There is a significant difference in stats exam scores among the drink conditions

Example: F(2, 10) = 17.38, p < .05.

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14
Q

What does a non-significant main effect of sleep indicate?

A

There is no significant difference in stats exam scores between sleep conditions

Example: F(1, 5) = 3.16, p = .136.

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15
Q

What is an interaction effect in ANOVA?

A

The effect of one independent variable depends on the level of another independent variable.

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16
Q

What does a significant interaction effect indicate?

A

Test scores depend on the interaction of both drink and sleep conditions

Example: F(2, 10) = 9.08, p = 0.006.

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17
Q

What are post-hoc tests used for in ANOVA?

A

To understand main effects when the independent variable has more than 2 levels.

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18
Q

What should be checked in post-hoc test results?

A

Check if the ‘Sig.’ column is less than .05 to infer a difference between conditions.

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19
Q

Fill in the blank: ANOVA is a ______ test.

20
Q

True or False: A significant main effect tells us where the differences are.

21
Q

What do post-hoc tests following ANOVA display?

A

All possible comparisons and the associated statistical significance

22
Q

In post-hoc tests, how do you determine if there is a significant difference between conditions?

A

If the ‘Sig.’ column is less than .05 (i.e. if p < .05)

23
Q

What can be inferred if the ‘Sig.’ value is less than .05?

A

There is a difference between the conditions

24
Q

How are the comparisons in post-hoc tests presented?

A

Comparisons are repeated both ways round

25
What was the mean score for coffee in the study?
M= 1.98
26
What was the mean score for decaf in the study?
M= 4.92
27
What was the mean score for water in the study?
M= 4.50
28
Was there a statistically significant difference in scores between decaf and water conditions?
No
29
What was the F statistic for the interaction between drink and sleep?
F(2, 30) = 6.64, p < 0.05
30
What does the main effect of drink indicate?
There is a significant main effect of the type of drink on the scores on a statistics test
31
What does the main effect of sleep indicate?
There is no significant main effect of the amount of sleep on the scores on a statistics test
32
What is the total number of participants in the study?
36
33
What are the three F values in a two-way ANOVA?
Main effect of IV1, main effect of IV2, interaction between the IVs
34
Fill in the blank: The F statistic for the main effect of sleep is F(1, 30) = ____, p = ___.
0.01, .91
35
Fill in the blank: The F statistic for the main effect of type of drink is F(2, 30) = ____, p < ___.
7.83, 0.05
36
What should you do when interpreting findings from an ANOVA?
Refer back to the descriptive statistics
37
True or False: The effect of drink appears to depend on the level of sleep.
True
38
What is needed to determine 'where' the difference lies after finding a significant main effect?
Post-hoc tests
39
What type of ANOVA was used in the study described?
Between-Subjects ANOVA
40
What is the significance of the interaction found in the study?
The influence of type of drink varies depending on the sleep condition
41
What were the drink conditions compared in the study?
Coffee, Decaf, Water
42
What were the sleep conditions compared in the study?
8 hrs sleep, No Sleep
43
What statistical tests were reported in the post-hoc analysis?
Bonferroni, Tukey
44
Fill in the blank: The main effects found in the study were related to _______.
Drink type and sleep
45
What is the first step to reading the output of an ANOVA?
Identify the IVs, conditions, and number of participants in each condition