ABSTRACT
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.
TABLE OF CONTENTS
part I|196 pages
Models and Measurement
part II|112 pages
Methodological Issues
part III|108 pages
Intuitive Statistics
part IV|144 pages
Hypothesis Testing, Power, and Effect Size