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. Author manuscript; available in PMC: 2017 Mar 1.
Published in final edited form as: Child Dev. 2015 Dec 16;87(2):429–445. doi: 10.1111/cdev.12467

Table 2.

Latent Factor Model Estimation.

Measure Loading
Coefficient
Standard Error P>|z|
Cognitive Factor

Word skills (yr2) 0.755 0.072 0.000
ELA grades (yr2) 0.345 0.044 0.000
Acad. comp. (yr5–6) 0.537 0.056 0.000

Social Factor

Prosocial (tch, yr5–6) 0.472 0.062 0.000
Social status (yr2) 0.255 0.039 0.000
Prosocial (pr, yr2) 0.165 0.038 0.000
Auth. accept (yr. 2) 0.211 0.060 0.000
Auth. accept (yr. 4) 0.658 0.079 0.000
Prosocial (tch, yr2) 0.144 0.049 0.004
Prosocial (tch, yr4) 0.095 0.050 0.056

Self-Regulation Factor

Emot. rec. (yr2) 0.413 0.050 0.000
Host. attrib. (yr4) 0.386 0.051 0.000
Agg. attrib. (yr2) 0.470 0.051 0.000
Emot. reg. (yr5–6) 0.092 0.036 0.011
Eff. resp. (yr5–6) 0.255 0.050 0.000
Emot. coping (yr2) 0.377 0.049 0.000
Soc. probsolve (yr2) 0.215 0.057 0.000
Soc. probsolve (yr4) 0.307 0.050 0.000

Note. See Table 1 for variable descriptions; in parentheses next to each measure name, “yr” represents the year of data collection; for measures rated both by teachers and peers, “tch” represents the teacher report, and “pr” represents the peer report; the model allows covariance of error terms across measures taken from the same data instrument; GOF stats with restriction on covariance of factors: RMSEA = 0.065; CFI = 0.811; p > Chi2 = 0.000; GOF stats without restriction: RMSEA = 0.040; CFI = 0.929; p > Chi2 = 0.000.