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Two-Way ANOVA

By Didem Ikis

Towson University

In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to check for the ANOVA assumptions.

Listed in Teaching Materials | resource by group Reducing Barriers to Teaching with R in Undergraduate Biology

Version 1.0 - published on 23 Jan 2019 doi:10.25334/Q45T6F - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Description

In this lesson, students will:
1. Learn the necessary statistical terms to understand two-way ANOVA (factor, factor level, replicate, experimental unit and response variable).
2. Visualize a two-factor data set.
3. Perform two-way ANOVA.
4. Interpret the results of two-way ANOVA.
5. Check for the ANOVA assumptions.

Students design, conduct and analyze a plant experiment to investigate (1) if competitive interactions are present (either interspecific or intraspecific competition), and (2) which, if any, limiting factors (i.e. nutrient, space, light, etc.) affect this population. This semester-long experiment is part of the lab for an upper level General Ecology course. The swirl lesson focuses on how to perform two-way ANOVA using R and RStudio with the help of a mock data set resembling the results of students’ plant experiments. Lesson implementation begins with the swirl lesson (1 hour class period), after which students analyze their own plant data sets and write their lab reports.

 

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Reducing Barriers to Teaching with R in Undergraduate Biology

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