I'm trying to understand the meaning of these results -

my hypothesis is that EA mediates between CNFU and PI.

Is the mediation full or partial?

What does the insignificance of CNFU mean?

What else can I learn from these results?

VARIABLES IN SIMPLE MEDIATION MODEL

Y ave_pi

X ave_CNFU

M ave_EA

DESCRIPTIVES STATISTICS AND PEARSON CORRELATIONS

Mean SD ave_pi ave_CNFU ave_EA

ave_pi 3.8500 1.5745 1.0000 .3320 .6130

ave_CNFU 2.9624 1.2504 .3320 1.0000 .4234

ave_EA 3.1118 1.4924 .6130 .4234 1.0000

SAMPLE SIZE

152

DIRECT And TOTAL EFFECTS

Coeff s.e. t Sig(two)

b(YX) .4180 .0970 4.3100 .0000

b(MX) .5054 .0883 5.7245 .0000

b(YM.X) .6074 .0750 8.0993 .0000

b(YX.M) .1110 .0895 1.2407 .2167

INDIRECT EFFECT And SIGNIFICANCE USING NORMAL DISTRIBUTION

Value s.e. LL 95 CI UL 95 CI Z Sig(two)

Effect .3070 .0660 .1776 .4363 4.6512 .0000

BOOTSTRAP RESULTS For INDIRECT EFFECT

Data Mean s.e. LL 95 CI UL 95 CI LL 99 CI UL 99 CI

Effect .3070 .3064 .0669 .1826 .4436 .1396 .4932

NUMBER OF BOOTSTRAP RESAMPLES

5000

POINT ESTIMATES OF EFFECT SIZE FOR INDIRECT EFFECTS

ab .3070

P_m .7343

R_m 2.7641

R2_45 .1038

ab_ps .1950

ab_cs .2438

Thanks!