Introduction to Simple Mediation Analysis in SPSS

  • Nitika Sharma Nitika Sharma Assistant Professor of MAIT, Delhi, India

Abstract

Data is analyzed using Mediation model which focuses on the
estimation of the indirect effect of X on Y through an intermediary mediator variable M causally located between X and Y (i.e.,
a model of the form X → M → Y )1
, where X is the input variable,
Y is output and M is the Mediating Variable. When researchers
want to examine that how X variable exert it effects on Y variable
which is commonly intervened by one or two variables denoted
by M and this variable has a causal relationship between X & Y
as per Figure 1 and termed as Simple Mediation Model. In this
casual system there is at least one casual antecedent X variable
is projected as influencing an outcome Y through a single intervening variable M. Such model establishes two pathways which
influences Y by direct effect and indirect effect. In direct effect,
pathways lead from X to Y without passing M. In indirect effects,
a pathway of X to Y is lead through M.

Published
2020-03-25
How to Cite
Nitika Sharma. (2020). Introduction to Simple Mediation Analysis in SPSS. Global Journal of Enterprise Information System, 7(1), 62-64. Retrieved from https://gjeis.com/index.php/GJEIS/article/view/417
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