ANOVA (within-subjects) Flashcards

(11 cards)

1
Q

Explained variance

A

Between-group differences

Explained variance indicates how much of the total variance is attributed to differences between groups in the study.

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2
Q

Unexplained variance

A

Within-groups (individual differences)

Unexplained variance reflects the variability among individuals within the same group.

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3
Q

3 sources of variance in repeated-measures ANOVA?

A

-Between conditions (effect)
-Between subjects (individual differences)
-Residual (error/noise)

These sources help to account for different types of variability in the data.

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4
Q

Advantage of repeated-measures ANOVA

A

Accounts for individual difference -> increased power

This means that repeated-measures designs can detect effects more easily due to controlling for variability among participants.

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5
Q

F-ratio

A

The F-ratio is a statistic used to determine if the explained variance is significantly greater than the unexplained variance.

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6
Q

Formula for MSunexplained

A

MSunexplained = MStotal - MSexplained - MSind diffs

This formula helps to isolate the residual variance after accounting for the explained variance.

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7
Q

What is counterbalancing in RM-ANOVA

A

Equal number of pps for all orderings

Counterbalancing helps to control for order effects by ensuring that all possible orders of conditions are represented equally.

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8
Q

SPSS procedure RM-ANOVA

A

-Analyse > general liner model > repeated measures
-Name factors and levels
-Assign variables to each level

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9
Q

Effect in multi-factorial ANOVA

A

-Main effect- one IV consistently affects DV
-Interaction effect- one IV’s effect depends on another IV

A main effect indicates that changes in one independent variable (IV) lead to changes in the dependent variable (DV), regardless of other IVs.

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10
Q

Challenge of interpreting higher-order factorial ANOVA

A

Interpretation of 3+ factor interactions is complex

As the number of factors increases, understanding the interactions becomes increasingly difficult.

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11
Q

Trade-off in higher-order factorial ANOVA

A

Between realism and interpretability

Real-world experiments may involve multiple IVs for realism, but this can complicate the analysis and interpretation of results.

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