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. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: School Ment Health. 2016 Nov 1;9(1):28–43. doi: 10.1007/s12310-016-9202-3

Table 3.

Moderated multiple regression analysis of emotional distress (EMO) and school connectedness (SC) on educational achievement (ED)

Variable/model Multiply imputed (N = 7276)
Not imputed (SP: N = 5931; ATT: N = 7262)
Stand, coef. (β) SE Unstand. coef. 95 % CI R2 (f2) Incr. R2 Semi-par correl. Stand, coef. (β) SE Unstand. coef. 95 % CI
R2 (f2)
LL UL LL UL
ED–SP (school performance)
    Model 1 (b1) (“main effect of W1EMO”) −0.38*** 0.03 −11.35 −0.45 −0.31 .20 (.25) −0.37*** 0.03 −10.77 −0.44 −0.30 .19 (.24)
    Model 2 (“additive”) .22 .02 (.28) .21 (.27)
        W1EMO (b1) −0.25*** 0.03 −7.39 −0.31 −0.18 −0.25*** 0.04 −6.79 −0.32 −0.17
        W1SC (b2) 023*** 0.02 10.28 0.19 0.28 0.22*** 0.02 8.82 0.17 0.27
    Model 3 (“multiplicative”) .23 .01 (.30) .22 (.28)
        W1EMO (b1) −0.28*** 0.03 −8.30 −0.34 −0.21 −0.15 −0.27*** 0.04 −7.58 −0.34 −0.20
        W1SC (b2) 0.24*** 0.02 10.59 0.20 0.28 0.16 0.23*** 0.03 9.14 0.18 0.27
        W1EMO × W1SC (b3) −0.13*** 0.04 −3.01 −0.21 −0.04 −0.05 −0.13** 0.04 2.88 −0.21 −0.04
ED–ATT (educational attainment)
    Model 1 (“main effect of W1EMO”) −0.57*** 0.06 −10.28 −0.69 −0.47 .16 (.19) −0.58*** 0.06 −10.28 −0.69 −0.47 .16 (.19)
    Model 2 (“additive”) .17 .01 (.21) .17 (.21)
        W1EMO (b1) −0.36*** 0.06 −6.11 −0.47 −0.24 −0.35*** 0.06 −6.13 −0.47 −0.24
        W1SC (b2) 039*** 0.04 9.93 0.32 0.47 0.39*** 0.04 9.93 0.31 0.47
    Model 3 (“multiplicative”) .18 .01 (.22) .18 (.22)
        W1EMO (b1) −0.39** 0.06 −6.49 −0.50 −0.27 −0.11 −0.39*** 0.06 −6.50 −0.50 −0.27
        W1SC (b2) 0.40*** 0.04 9.93 0.32 0.47 0.12 0.40*** 0.04 9.94 0.32 0.48
        W1EMO × W1SC (b3) −0.13* 0.06 −2.18 −0.25 −0.01 −0.03 −0.13* 0.06 −2.13 −0.01 −0.25

ED is comprised of 2 variables (separate analyses): ED–SP school performance, ED–ATT educational attainment. Demographic characteristics at W1 were covariates in these analyses, multiply imputed average across 5 imputations using Rubin's (1987) rule, LL lower limit, UL upper limit

Cohen's f2 (1988) effect size: f2 = .02: small, f2 = .15: medium, f2 = .26: large

*

p ≤ .05

**

p ≤ .01

***

p ≤ .001