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Table 3 Correlations among indicators at the within-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 0.461 1.000         
3 HELP 0.483 0.467 1.000        
4 ALONG 0.210 0.310 0.368 1.000       
5 SAFE 0.395 0.377 0.458 0.240 1.000      
6 VALUES 0.153 0.093 0.165 0.321 0.141 1.000     
7 TRUST 0.408 0.422 0.528 0.309 0.487 0.234 1.000    
8 SKIP 0.256 0.207 0.296 0.174 0.333 0.124 0.358 1.000   
9 GRAFFITI 0.219 0.239 0.283 0.212 0.358 0.163 0.294 0.557 1.000  
10 DISRESPECT 0.287 0.202 0.285 0.194 0.261 0.125 0.278 0.470 0.476 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).