Monthly Archives: April 2016

TRYSYS is a descendent of the BCTRY program, which was developed by Robert C. Tryon at Berkeley during the 1960s. See Cluster Analysis by Robert C. Tryon and Daniel E. Bailey (New York : McGraw-Hill, 1970). There are many other … Continue reading →

Social area analysis essentially involves a statistical procedure to identify from a sometimes quite large database of socio-economic data the most salient underlying variables. Very often most of the variance in a group of dozens of variables can be accounted … Continue reading →

Here is a list of variables used in the analysis of neighborhood types in Chicago, 2010. Variable name Description DENS_PSQKM population per square kilometer PERSPHOUS persons per household PCTAFAM percent non-Hispanic African-American/black PCTASPAC percent non-Hispanic Asian/Pacific PCTHISP percent Hispanic/Latino PCT_LT18 … Continue reading →

In the statistical study of neighborhoods in Chicago, 2010, cluster analysis of the three dimensions underlying the 34 variables yielded ten neighborhood types. For each neighborhood type, the following list includes: [a] the neighborhood-type number; [b] the T-scores on the three dimensions; … Continue reading →

The analysis of neighborhood types in Chicago, 2010, suggested that three oblique key-cluster dimensions underlaid the 34 variables used in the computations. The dimensions are listed below with their correlations to the most salient dimension definers (note that the names … Continue reading →