This page focuses on Chapter 11 "Emergent Theory: Quantitative Approaches." The chapter describes statistical approaches that can be used to evolve theory from data. The available primers rely, in part, on the now defunct suite of statistical programs from Applied Scientific Analysis (ASA). However they contain useful material about the statistical methods to which they refer, hence I make them available to you. Some of the primers are brief and others are lengthy. They are designed to give you an introduction to the statistical method as well as key issues surrounding the method. The worked examples provide concrete applications and, although presented results are tied to ASA output, they still have usueful information.
Statistics Tutorials and Videos
Statistical Programs
Statistical Primers
Statistical Primers
Interfaces with SPSS, Excel, Ascii, SAS and STATA Formats
2. QUANTILE REGRESSION
Read the primer on quantile regression
Read the worked example for quantile regression
Read the primer on quantile regression
Read the worked example for quantile regression
4. MIXTURE REGRESSION
Read the primer on mixture regression
Read the worked example for mixture regression
Read the primer on mixture regression
Read the worked example for mixture regression
3. DOMINANCE ANALYSIS
Read the primer on dominance analysis
Read the worked example on dominance analysis
Read the primer on dominance analysis
Read the worked example on dominance analysis
The primers appear in the same order as they are treated in the main text, starting with methods where a semi-structured theory is present and moving towards increasingly unstructured methods where one is not even certain about the variables to include in a theory (data mining).