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. 2021 Apr 16;16(4):e0250384. doi: 10.1371/journal.pone.0250384

Table 4. Hierarchical multiple regression analyses.

Outcome variablesa Regression: Model 1b Regression: Model 2c
ΔR2 d ΔFe ßf tg ΔR2 d ΔFe ßf tg DWh
Attention .14 17.37*** -.38 -4.17 < .01 0.44 -.06 0.66 2.13
Clarity .16 20.07*** -.40 -4.48 .01 1.44 .11 1.20 2.19
Repair .21 27.01*** -.45 -5.19 < .01 0.28 .05 0.53 1.87
Self-esteem .16 17.43*** -.10 -4.18*** .10 11.57*** .31 3.40*** 2.05
Affect balance .04 4.30* -.20 -2.07* .04 4.34* .20 2.08* 2.05
Emotional symptoms .08 8.88** -.30 -2.98** .10 11.41*** -.32 -3.38*** 2.16
Behavioural problems .06 5.98* -.25 -2.45* .03 3.01 -.17 -1.73 2.04
Peer problems .16 17.16*** -.40 -4.14*** .02 2.10 -.14 -1.45 1.99
Hyperactivity .26 33.29*** -.51 -5.77*** .03 3.91* -.17 -1.98* 2.22
Prosocial behaviour .12 12.43*** -.34 -3.53*** .01 0.48 .07 0.69 1.61

aOutcome variables: change scores T1 to T2 were used for each for the regression analyses.

bPredictor = pre-intervention score

cPredictor = experimental condition, controlled for pre-intervention score

dChange in R2

eChange in F

fRegression coefficient

gValue of t-test statistic

hDurbin-Watson test.

*p≤.05.

**p≤.01.

***p≤.001.