Repeated Measures ANOVA and Statistical Analysis

A collection of vocabulary flashcards related to Repeated Measures ANOVA, designed to assist with studying key concepts and terminologies from the lecture.

ANOVA

Analysis of Variance; a set of statistical methods used to compare means across multiple groups.

Within-subjects ANOVA

A method for comparing means within the same group of participants across different conditions.

Null Hypothesis

A statement asserting that there is no significant difference between specified populations, denoted as H0.

Sphericity

The assumption that the variances of the differences between all pairs of repeated-measure conditions are equal.

Mauchly’s Test for Sphericity

A statistical test that assesses the equality of variances between groups for repeated measures.

Greenhouse–Geisser estimate

A correction used when the sphericity assumption is violated in repeated measures ANOVA.

Repeat Measures ANOVA

A statistical technique to evaluate mean differences when the same subjects are observed under different conditions.

Post hoc tests

Statistical tests used after finding a significant ANOVA result to explore where the differences lie.

Violate sphericity

Occurs when the assumption of equal variances among groups is not met, requiring corrections.

Effect size

A quantitative measure of the magnitude of a phenomenon, which in ANOVA indicates the strength of the relationship.

Homogeneity of variance

The assumption that different samples have similar variances, often necessary for between-subjects ANOVA.

Between-subjects ANOVA

A method for comparing means from different groups of participants.

Independent Variable (IV)

The variable manipulated or varied in an experiment to test its effects on a dependent variable.

Dependent Variable (DV)

The variable that is measured in an experiment, expected to change in response to the independent variable.

Practice effects

Changes in performance that result from repeated testing rather than from a change in the experimental variable.

Fatigue

A potential disadvantage in repeated measures designs where participants may perform worse after multiple assessments.

Counterbalancing

A technique used to control for order effects by ensuring that each condition is presented in different orders to participants.

Attrition

The loss of participants from a study over time, which may impact the results.

Variability

The extent to which scores differ from each other, crucial for understanding the data in ANOVA.