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. Author manuscript; available in PMC: 2020 Oct 1.
Published in final edited form as: J Pers Soc Psychol. 2018 Aug 13;117(4):e51–e70. doi: 10.1037/pspp0000211

Table 9.

Relative Fit of Moderation Models Predicting General Well-Being, Strain and Support

Outcome Model Extraversion
Neuroticism
Agreeableness
Conscientiousness
Openness
ΔAIC ΔR2 ΔAIC ΔR2 ΔAIC ΔR2 ΔAIC ΔR2 ΔAIC ΔR2
General Well-Being Gender 4.51 0.05% −4.14 0.07% 9.27 0.01% −7.77 0.08% 1.01 0.05%
Wave −6.90 0.07% −23.48 0.10% −11.15 0.07% −13.50 0.10% −0.58 0.05%
Strain Gender −1.36 0.08% 1.55 0.04% 4.21 0.03% 3.29 0.04% −1.26 0.07%
Wave 2.36 0.04% 4.64 0.03% −6.45 0.08% 4.24 0.05% −0.35 0.01%
Support Gender −15.91 0.15% −11.21 0.08% −8.64 0.09% −14.27 0.13% −19.79 0.24%
Wavea −11.98 0.10% −2.31 0.05% −2.49 0.09% −1.97 0.05% 0.83 0.05%
Support - male report Wavea −4.47 0.22% 0.57 0.14% 3.16 0.14%
Support -female report Wavea 3.82 0.10% 1.40 0.13% 6.41 0.05%

Note. The Akaike information criterion (AIC) was used as a measure of relative model fit. Negative values larger than -2 indicate an improvement in fit. The difference in R-squared (ΔR2) refers to the gain in variance explained in the outcome variable. The fit of the polynomial model (including control variables, Xactor, Ypartner Xactor2, XactorYpartner, and Ypartner2) was compared to a model including interactions of gender or measurement wave with main effects and second-order terms Xactor2, XactorYpartner, and Ypartner2.

a

For models that were moderated by gender (see Table S2), we examined the moderation of measurement wave for men and women separately. However, to be able to compare the proportion of variance explained between these models and the other models, ΔR2 was also calculated for the complete sample.