Posted by
Muir Houston-3 on
Jul 25, 2014; 10:17am
URL: http://spssx-discussion.165.s1.nabble.com/Interpreting-Mediation-results-tp5726809p5726823.html
Have you checked out Hayes website?
http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html
and also perhaps
http://www.afhayes.com/macrofaq.html
Muir Houston, HNC, BA (Hons), M.Phil., PhD, FHEA
College of Social Sciences Ethics Officer
Social Justice, Place and Lifelong Education Research
School of Education
University of Glasgow
0044+141-330-4699
Silver bullet or red herring? New evidence on the place of aspirations in education
R3L+ Project - Adult education in the light of the European Quality Strategy
http://www.learning-regions.net/GINCO Project - Grundtvig International Network of Course Organisers
http://www.ginconet.eu/THEMP - Tertiary Higher Education for People in Mid Life
http://themp.eu/
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of psy_vm
Sent: 24 July 2014 08:17
To:
[hidden email]
Subject: Interpreting Mediation results
Hello,
I have a few questions regarding interpretation of my results for Mediation using Hayes' Process macro. The key point for finding significance is to see that the Class Interval does not include zero. However, in my mediation model, although the indirect effect CI doesn't include zero, the initial Models's CI (for bcope_ma, under Duration) includes zero. Should I still count my indirect effects as significant even though initial model for mediation is not significant?
Results pasted below. Please Help! Thanks in advance!
Model = 4
Y = qoltot
X = duration
M = bcope_ma
Sample size
70
**************************************************************************
Outcome: bcope_ma
Model Summary
R R-sq F df1 df2 p
.1830 .0335 2.3550 1.0000 68.0000 .1295
Model
coeff se t p LLCI
ULCI
constant 22.5169 1.3151 17.1223 .0000 19.8927 25.1411
duration -.0388 .0253 -1.5346 .1295 -.0893 .0117
**************************************************************************
Outcome: qoltot
Model Summary
R R-sq F df1 df2 p
.3234 .1046 3.9140 2.0000 67.0000 .0247
Model
coeff se t p LLCI
ULCI
constant 91.2951 9.5536 9.5560 .0000 72.2258 110.3643
bcope_ma -1.0460 .3823 -2.7364 .0079 -1.8091 -.2830
duration .0059 .0811 .0725 .9425 -.1559
.1677
************************** TOTAL EFFECT MODEL ****************************
Outcome: qoltot
Model Summary
R R-sq F df1 df2 p
.0674 .0045 .3102 1.0000 68.0000 .5794
Model
coeff se t p LLCI
ULCI
constant 67.7413 4.3387 15.6134 .0000 59.0836 76.3990
duration .0465 .0834 .5570 .5794 -.1200 .2129
***************** TOTAL, DIRECT, AND INDIRECT EFFECTS ********************
Total effect of X on Y
Effect SE t p LLCI ULCI
.0465 .0834 .5570 .5794 -.1200 .2129
Direct effect of X on Y
Effect SE t p LLCI ULCI
.0059 .0811 .0725 .9425 -.1559 .1677
Indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
bcope_ma .0406 .0311 .0009 .1240
Partially standardized indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
bcope_ma .0022 .0016 .0000 .0068
Completely standardized indirect effect of X on Y
Effect Boot SE BootLLCI BootULCI
bcope_ma .0589 .0411 .0017 .1650
Ratio of indirect to total effect of X on Y
Effect Boot SE BootLLCI BootULCI
bcope_ma .8736 149.0933 .1603 53.5001
Ratio of indirect to direct effect of X on Y
Effect Boot SE BootLLCI BootULCI
bcope_ma 6.9093 17.9156 3.4423 275.8767
R-squared mediation effect size (R-sq_med)
Effect Boot SE BootLLCI BootULCI
bcope_ma .0045 .0173 -.0184 .0543
Preacher and Kelley (2011) Kappa-squared
Effect Boot SE BootLLCI BootULCI
bcope_ma .0601 .0401 .0066 .1692
Normal theory tests for indirect effect
Effect se Z p
.0406 .0318 1.2753 .2022
******************** ANALYSIS NOTES AND WARNINGS *************************
Number of bootstrap samples for bias corrected bootstrap confidence
intervals: 1000
Level of confidence for all confidence intervals in output: 95.00
NOTE: Some cases were deleted due to missing data. The number of such cases
was: 33
--
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