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

Table 4 Correlations among indicators at the between-level

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.
These correlations were taken from the sample used for the multilevel exploratory factor analysis (ML-EFA).

ISSN: 1478-7954