Research Methods
The Science of Psychology
Ethics
Reliability & Validity
Conceptualizing a Research Study
Descriptive Methods
Key Elements of Experimental Design
Experimental Designs
Quasi-Experimental Designs
Applying Research Concepts
General Review Material
Statistics
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
Correlation
Prediction
Chi-square
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
alisa.mcarthur@stmu.ab.ca
Posted: Tuesday, July 26, 2011
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