Information needs in bug reports: improving cooperation between developers and users
Proceedings of the 2010 ACM conference on Computer supported cooperative work
All the news that's fit to read: a study of social annotations for news reading
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Methods for analyzing unbalanced factorial designs can be traced back to Yates (1934). Today, most major statistical programs perform, by default, unbalanced ANOVA based on Type III sums of squares (Yates's weighted squares of means). As criticized by Nelder and Lane (1995), this analysis is founded on unrealistic models—models with interactions, but without all corresponding main effects. The Type II analysis (Yates's method of fitting constants) is usually not preferred because of the underlying assumption of no interactions. This argument is, however, also founded on unrealistic models. Furthermore, by considering the power of the two methods, it is clear that Type II is preferable.