Statistical methodology is often conceived by social scientists in
a technical manner; they use it for support rather than for
illumination. This two-volume set attempts to provide some partial
remedy to the problems that have led to this state of affairs. Both
traditional issues, such as analysis of variance and the general
linear model, as well as more novel methods like exploratory data
analysis, are included. The editors aim to provide an updated
survey on different aspects of empirical research and data
analysis, facilitate the understanding of the internal logic
underlying different methods, and provide novel and broader
perspectives beyond what is usually covered in traditional
curricula.
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