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Research Methods

The Science of Psychology


Reliability & Validity

Conceptualizing a Research Study

Descriptive Methods

Key Elements of Experimental Design

Experimental Designs

Quasi-Experimental Designs

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General Review Material


Why We Need Statistics

Levels of Measurement

Central Tendency and Variability

Inferential Statistics

Statistical Significance

Single Sample t-test

t-test for Dependent Means

t-test for Independent Means

One-way Analysis of Variance

Factorial Analysis of Variance

Repeated Measures Analysis of Variance




Scale Reliability

Applying Statistical Concepts

General Review Material

Factorial designs: Making the connection between hypotheses, follow-ups and conclusions

This exercise is designed to help students understand that the researcher’s hypotheses should guide which means are compared following a significant interaction. Students will see how the hypothesis alters what means are examined, thus impacting the conclusions that are drawn when a statistically significant interaction is found.

Factorial Design, Hypotheses, Interactions

Author: Alisa D. McArthur
St. Mary’s University College

Posted: Tuesday, July 26, 2011