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Table 3 Five-number summary of the GWR logistic regression results; bandwidth 3000

From: Determining the spatial heterogeneity underlying racial and ethnic differences in timely mammography screening

Variable Min Q1 Median Q3 Max
Predisposing
Race/ethnicity (ref. = non-Hispanic White)
 Black 0.434 0.516 0.561 0.602 0.666
 Hispanic/Latina 0.270 0.485 0.601 0.683 1.054
 Other race −0.734 −0.368 −0.214 −0.148 −0.091
Age −0.007 −0.002 0.001 0.003 0.004
Educational attainment (ref. = no high school diploma)
 High school −0.261 −0.104 −0.065 −0.021 0.338
 Some college −0.170 −0.156 −0.145 −0.061 0.622
 College or greater −0.056 −0.019 0.012 0.070 0.818
Married 0.209 0.248 0.270 0.298 0.388
Enabling
Poverty status (1 = poor, 0 = non-poor) −0.214 −0.184 −0.172 −0.123 0.285
Employment status (1 = employed, others = 0) 0.063 0.131 0.191 0.214 0.241
Insured (1 = having health insurance, 0 = no health insurance) 1.147 1.438 1.476 1.502 1.755
Source of healthcare
 Community health center 0.818 0.846 0.857 0.900 1.352
 Private practice 0.464 0.502 0.528 0.609 1.060
 Outpatient clinic 0.289 0.302 0.348 0.505 1.031
Experienced medical discrimination −0.494 −0.191 −0.144 −0.126 −0.106
Community connection −0.004 0.065 0.076 0.079 0.080
Group membership −0.033 0.036 0.062 0.075 0.099
Respondent residence—city (ref = suburban) −0.022 0.015 0.041 0.053 0.092
Need
Poor of fair self-rated health −0.575 −0.404 −0.368 −0.353 −0.259
Intercept −2.354 −1.457 −1.344 −1.174 −0.759
Akaike Inf. Crit. 3609.497     
  1. Min minimum, Q1 first quartile, Q3 third quartile, max maximum