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Table 4 Correlations among indicators at the between-level

From: Modeling contextual effects using individual-level data and without aggregation: an illustration of multilevel factor analysis (MLFA) with collective efficacy

   1 2 3 4 5 6 7 8 9 10
1 CLOSEKNIT 1.000          
2 ADULTS 0.735 1.000         
3 HELP 0.773 0.862 1.000        
4 ALONG 0.593 0.758 0.855 1.000       
5 SAFE 0.749 0.853 0.897 0.902 1.000      
6 VALUES 0.561 0.620 0.668 0.754 0.705 1.000     
7 TRUST 0.742 0.842 0.870 0.834 0.934 0.653 1.000    
8 SKIP 0.826 0.641 0.731 0.677 0.765 0.650 0.697 1.000   
9 GRAFFITI 0.729 0.858 0.870 0.857 0.865 0.725 0.823 0.757 1.000  
10 DISRESPECT 0.489 0.205 0.478 0.316 0.254 0.257 0.320 0.480 0.382 1.000
  1. CLOSEKNIT = this is a close-knit neighborhood; ADULTS = there are adults that kids look up to; HELP = people here are willing to help their neighbors; ALONG = people here don’t get along with each other; SAFE = adults watch out that kids are safe; VALUES = people here do not share the same values; TRUST = people in this neighborhood can be trusted; SKIP = people would intervene if children were skipping school and hanging out on the corner; GRAFFITI = people would intervene if children were spray-painting graffiti; DISRESPECT = people would intervene if children were showing disrespect to an adult. Items 4 and 6 were reverse coded.
  2. These correlations were taken from the sample used for the multilevel exploratory factor analysis (ML-EFA).