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. 2014 Sep 19;9(9):e106989. doi: 10.1371/journal.pone.0106989

Table 6. Parameter estimates and variance components of the HLM models tested (Study 3).

Fixed effects Random effects
Model equations Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic
Intercept-only model (empty model)
Inline graphic 5.61** - - - - - .29 .09 .38 - - - - - - - - - -
Inline graphic
Inline graphic
Model 1a
Inline graphic 5.62** −.11* .05 - - - .24 .08 .42 .28 .00 .06 ns - - - - - -
Inline graphic
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Inline graphic
Model 1b
Inline graphic 5.62** −.12** .06 −.05 −.08 .05 .21 .03 .43 .21 .00 .04 ns .08 .00 ns .00 ns ns
Inline graphic
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Model 1c
Inline graphic 5.62** −.11* .03 −.03 −.10* .03 .21 .06 .44 .21 .00 .05 ns .05 .01 ns .01 ns ns
Inline graphic
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Note: **p<.01 (two-tailed); *p<.05 (two-tailed); p<.10 (two-tailed).

Per  =  performance; WP =  work pressure; Comp  =  task complexity; N =  neuroticism.