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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

Applying Research Concepts

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

Discovering the Scientist Within offers an utterly unique approach to the research methods course. Rather than taking students through statistical methods one at a time, the authors provide a series of realistic and engaging case studies with each design-focused chapter presenting a single study start to finish. View More

Discovering the Scientist Within

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