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Sr. no.
Estimator
Model 1
Model 2
Model 3
Model 4
Model fits
1
\(\chi^{2} fit \left( {df} \right)\)
113.92 (108)*
124.68 (81)*
Models 3 and 4 did not converge
2
RMSEA
.028
.032
3
CFI
.981
.974
4
TFI
.976
.966
Model coefficient estimator (S.E.)
1
a
.81 (.21)***
− .74 (.26)**
2
b
− .67 (.60), ns
− .44 (.72), ns
3
c’
− .45 (.63), ns
.63 (.65), ns
Indirect effect [95% bootstrap confidence intervals]
1
ab
− 7.82 [− 55.06, − 1.77]
− 1.21 [− 8.54, − .15]
Model 1 = maternal attachment → synthesis → NSSI; Model 2 = maternal attachment → confusion → NSSI; Model 3 = peer attachment → synthesis → NSSI; Model 4 = peer attachment → confusion → NSSI
* p < .05; ** p < .01; *** p < .001