Learn About Multiple Regression With Interactions Between Categorical Variables in Survey Data in R With Data From the British Crime Survey (2007–2008)

2019 ◽  
Author(s):  
Abigail-Kate Reid ◽  
Nick Allum
1996 ◽  
Vol 8 (3) ◽  
pp. 133-144 ◽  
Author(s):  
María del Mar del Pozo Andrés ◽  
Jacques F A Braster

In this article we propose two research techniques that can bridge the gap between quantitative and qualitative historical research. These are: (1) a multiple regression approach that gives information about general patterns between numerical variables and the selection of outliers for qualitative analysis; (2) a homogeneity analysis with alternating least squares that results in a two-dimensional picture in which the relationships between categorical variables are graphically presented.


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