University of Pittsburgh School of Education


Various types of analysis of variance will be introduced from the general linear models framework. One-way, two-way, higher-order ANOVA and ANCOVA using within-subjects, between-subjects, and mixed designs will be covered. Simple effects (simple main effect, simple comparisons, marginal comparisons, and interaction contrasts) analyses will also be discussed. Issues related to equal and unequal sample sizes as well as ANOVA diagnostics and remedial measures (e.g., transformation and weighted least square) will be covered. Some of the advance topics include incomplete design, fractional factorial, Latin Square, and nested designs. These topics will use matrix algebra.

Credits: 3.0

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