Question: how do I write up findings... Model : 1 Y : DASSDEP X : SWL_Tota W : Gender Sample Size: 808 ************************************************************************** OUTCOME VARIABLE: DASSDEP

how do I write up findings...

Model : 1 Y : DASSDEP X : SWL_Tota W : Gender Sample Size: 808 ************************************************************************** OUTCOME VARIABLE: DASSDEP Model Summary R R-sq MSE F df1 df2 p .269 .073 48.675 20.952 3.000 804.000 .000 Model coeff se t p LLCI ULCI constant 26.952 .752 35.831 .000 25.475 28.428 SWL_Tota .589 .113 5.202 .000 .367 .811 Gender -1.362 .499 -2.732 .006 -2.341 -.383 Int_1 -.240 .071 -3.361 .001 -.380 -.100 Product terms key: Int_1 : SWL_Tota x Gender Test(s) of highest order unconditional interaction(s): R2-chng F df1 df2 p X*W .013 11.299 1.000 804.000 .001 ---------- Focal predict: SWL_Tota (X) Mod var: Gender (W) Conditional effects of the focal predictor at values of the moderator(s): Gender Effect se t p LLCI ULCI 1.000 .349 .051 6.879 .000 .249 .448 2.000 .108 .050 2.152 .032 .010 .207

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