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School-Burnout Inventory (SBI) - Studenthealth 2012

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Table 2. Estimated item reliability and standardized validity coefficients (in parentheses) for the <strong>SBI</strong> models<br />

M1 Each factor in separate model M2 M3<br />

<strong>SBI</strong> OSB EXH CYN INAD EXH CYN INAD OSB EXH CYN INAD<br />

Item EXH1 .33 (.58) .39 (.63) – – .43 (.65) – – – .43 (.65) – –<br />

Item EXH2 .35 (.59) .56 (.75) – – .54 (.74) – – – .54 (.74) – –<br />

Item EXH3 .32 (.57) .60 (.77) – – .57 (.76) – – – .56 (.75) – –<br />

Item EXH4 .35 (.60) .45 (.67) – – .47 (.68) – – – .47 (.68) – –<br />

Item CYN1 .60 (.78) – .72 (.85) – – .73 (.85) – – – .73 (.85) –<br />

Item CYN2 .62 (.79) – .78 (.88) – – .77 (.87) – – – .77 (.88) –<br />

Item CYN3 .47 (.68) – .52 (.72) – – .53 (.73) – – – .53 (.73) –<br />

Item INAD1 .52 (.72) – – .58 (.76) – – .52 (.72) – – – .58<br />

(.76)<br />

Item INAD2 .52 (.72) – – .45 (.67) – – .51 (.71) – – – .55<br />

(.75)<br />

Exhaustion – – – – – – – .65 (.80) – – –<br />

Cynicism – – – – – – – .65 (.81) – – –<br />

Inadequacya – – – – – – – 1.00 (1.00) – – –<br />

Note. M1 = one-factor model; M2 = three-factor model; M3 = second-order-factor model. OSB = overall school burnout; EXH = exhaustion;<br />

CYN = cynicism; INAD = inadequacy. aResidual variance of Inadequacy is fixed to zero.<br />

Table 3. Coefficients for factor score scales, reliabilities for factor score scales and Cronbach’s αs<br />

M1 Each factor in separate model M2 M3<br />

<strong>SBI</strong> OSB EXH CYN INAD EXH CYN INAD OSB EXH CYN INAD<br />

Item EXH1 .05 .12 – – .12 .003 .07 .03 .12 .01 .05<br />

Item EXH2 .06 .21 – – .17 .004 .10 .05 .17 .02 .06<br />

Item EXH3 .05 .21 – – .17 .01 .10 .04 .16 .02 .06<br />

Item EXH4 .06 .15 – – .14 .004 .08 .04 .14 .01 .05<br />

Item CYN1 .13 – .36 – .01 .29 .14 .07 .03 .29 .09<br />

Item CYN2 .12 – .45 – – .32 .15 .07 .03 .33 .10<br />

Item CYN3 .09 – .14 – .004 .15 .07 .03 .01 .15 .05<br />

Item INAD1 .10 – – .45 .09 .08 .10 .16 .07 .06 .23<br />

Item INAD2 .09 – – .34 .08 .07 .08 .13 .06 .05 .19a Factor score<br />

scale reliability<br />

.89 .81 .88 .69 .84 .89 .91 .83 .84 .83 .83<br />

Cronbach’s α .88 .80 .80 .67<br />

Note. M1 = one-factor model; M2 = three-factor model; M3 = second-order-factor model. OSB = overall school burnout; EXH = exhaustion;<br />

CYN = cynicism; INAD = inadequacy. aResidual variance of Inadequacy is fixed to zero.<br />

results also showed that the factor-score scale reliabilities<br />

for the correlated three-factor model M2 were higher than<br />

those for the three separate one-factor models. The factorscore<br />

scale reliabilities were also good for Model M3.<br />

However, these reliabilities were slightly lower than the<br />

reliabilities for Model M2.<br />

Concurrent Validity<br />

The final aim of the present study was to examine whether<br />

academic achievement, school engagement, and depressive<br />

symptoms would predict school-burnout factors when con-<br />

K. Salmela-Aro et al.: <strong>School</strong>-<strong>Burnout</strong> <strong>Inventory</strong> 53<br />

trolled for gender and school track, thus, providing evidence<br />

of the concurrent validity of the <strong>SBI</strong>. First, the predictors<br />

were added to the final model M2 by estimating the<br />

regression coefficients for academic achievement, school<br />

engagement, and depressive symptoms for each latent factor.<br />

The estimation results for the final model M2, χ²(57, N<br />

= 1418) = 203.11, p < .001, RMSEA = .05, CFI = .97, TLI<br />

= .96, SRMR = .03, containing only statistically significant<br />

regression coefficients, are presented in Figure 2. The results<br />

showed that, when controlling for the effects of gender<br />

and school track, the more depressive symptoms adolescents<br />

suffered, the higher also was their level of each component<br />

of school burnout. Moreover, the lower their aca-<br />

© 2009 Hogrefe & Huber Publishers European Journal of Psychological Assessment 2009; Vol. 25(1):48–57

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