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Table 5 Factor loadings of indicators for the multi-level exploratory factor analysis (ML-EFA)

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

 

Within-level

Between-level

 

Factor 1

Factor 2

Factor 1

1…this is a close-knit neighborhood

0.618

0.030

0.797

2…there are adults that kids look up to

0.642

−0.034

0.833

3…people around here are willing to help their neighbors

0.735

0.038

0.935

4…people in this neighborhood generally don’t get along with each other

0.418

−0.008

0.931

5…adults watch out that kids are safe

0.630

0.035

0.972

6…people in this neighborhood do not share the same values

0.297

0.015

0.668

7…people in this neighborhood can be trusted

0.773

−0.046

0.924

8…children were skipping school and hanging out on a street corner

0.121

0.662

0.823

9…children were spray-painting graffiti on a local building

0.001

0.711

0.917

10…children were showing disrespect to an adult

−0.010

0.723

0.462

  1. χ2 = 337.222; df = 61; p-value < 0.00001; CFI = 0.947; RMSEA = 0.059; SRMRwithin = 0.039; SRMRbetween = 0.068.
  2. All factor loadings in an EFA are standardized.High EFA loadings appear in bold.
  3. Items 4 and 6 were reverse coded.