Lecture on Experimental Designs part 1

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Flashcards covering key terms and concepts from the lecture on experimental designs and statistical analysis methods.

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22 Terms

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Between-Group Design

A design that compares different individuals in separate groups.

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Factorial Design

A research design that examines the interaction between two or more factors.

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t-test

A statistical test used to compare the means of two samples.

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ANOVA

Analysis of Variance; a statistical method used to compare means among three or more groups.

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Main Effect

The direct influence of an independent variable on a dependent variable.

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Interaction

When the effect of one independent variable is different at different levels of another independent variable.

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Between Subjects Design

A design where different participants are assigned to different groups.

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Within Subjects Design

A design where the same participants are exposed to all conditions.

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Mixed Design

A design that combines elements of both between-subjects and within-subjects designs.

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Correlational Research

Research that measures the extent to which two variables are related.

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Causal Relationships

Relationships where one variable directly influences another.

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Random Assignment

A method used to assign participants to different groups randomly to minimize differences.

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Paired Samples t-test

A statistical test used for comparing two means from the same sample.

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Pearson r

A measure of the strength and direction of association between two continuous variables.

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Null Hypothesis

A statement asserting that there is no effect or difference.

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Independent Variable

The variable that is manipulated in an experiment.

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Dependent Variable

The outcome or response that is measured in an experiment.

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Levels

The different categories or groups within a factor in a study.

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Quasi-Experimental Design

Research that resembles experimental design but lacks random assignment.

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Single-Factor Design

An experimental design with only one independent variable.

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Post-Hoc Tests

Tests conducted after an ANOVA to determine which specific group means differ.

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Factor Category

A classification used to group subjects based on an attribute of interest.