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Visual ANOVA is a simple little program that puts the theory on ANOVA into a simple visual whole. It assumes that you've read the Even if your understanding is incomplete at this time, it is worth playing with Visual ANOVA since that may clear up the big picture for you.
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Date Of Record Creation 2004-03-06 13:52:00
Date Last Modified 2010-06-18 22:10:00
Email Address jensen@psych.utah.edu or tom.malloy@psych.utah.edu
Date Issued 2000
Resource Type
Audience
Format
Author Name Tom Malloy
Author Organization University of Utah
Technical Requirements Web Browser, Java, Flash.
Content Quality (Concerns) While the material successfully illustrates the relationship between within- and between-group variability, one additional piece that would make the material more complete is illustrating the effect of sample size as well.
Content Quality (Strengths) The author is very clear that this applet is not a numerical calculator, but instead demonstrates the relations "among important concepts" visually. It does an excellent job of this visual representation. The material clearly illustrates how within- and between-group variability combine to change the value of the F statistic.
Ease of Use (Concerns) Changing the variability within groups with the yellow buttons is a bit awkward. It would be preferable to grab the edges of the red icons to resize them.
Ease of Use (Strengths) The applet is quite easy to use and has very clear instructions. The flash program is of very high design quality and is very visually appealing.
Potential Effectiveness (Concerns) If an instructor wants to use the material for more than just a quick in class demonstration, it will take some creativity on the part of the instructor to get students to use it effectively. There is not a great deal you can do with this applet - it has only one quick idea to get across, but it is a wonderful visualization of that idea.
Potential Effectiveness (Strengths) Students can easily "discover" the effects of small -> large within group variability on the F-statistic, and check their intuitions. The material is fairly straightforward and easy for students to understand with very little introduction.
Content Quality (Rating) 4
Ease of Use (Rating) 4
Potential Effectiveness (Rating) 4
Source Code Available On
Material Type
Statistical Topic
Copyrights
Cost
Intended User Role
Math Level

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