The important statistics from the two regressions are shown in Table 15.4. Because
SPSS does not report the standard error of Beta, we need to calculate it. The tstatistic
given in these tables is either the unstandardized regression coefficient (b) divided by its
standard error, or the standardized regression coefficient divided by its standard error.
Thus we can solve
Similarly for the path from Self-esteem to Self-efficacy, partialling Maternal care, we have
These results yield the following table.
Then the regression coefficient for the path from Maternal care Self-esteem Self-
efficacy is equal to ba3 bb 5 .403 3 .323 5 .130, where aand brefer to the relevant
paths. (Path cis the direct path from Maternal care to Self-efficacy.) In addition, we know
that the standard error of this two-part path is given by
where baand bbare the paths, and and are the corresponding standard errors of the
standardized regression coefficients for those paths.^12 We can calculate the standard error
of the combined path as:
We now know the path coefficient (.403 3 .323 5 .130) and its standard error (.052),
and we can form a tratio as
Sobel (1982) stated that this ratio is asymptotically normally distributed, which, for large
samples, would lead to rejection of the null hypothesis at a5.05 when the ratio exceeds
1.96. It would presumably have a t distribution on Nā 3 dffor small samples. In our case
the path is clearly significant, as we would expect from the previous results. Therefore we
6
t=
babb
sbabb
=
.130
.052
=2.50
=0.052
= 1 0.0027
sbabb= 3 b^2 as^2 b1b^2 bs^2 a 2 s^2 as^2 b= 3 .403^2 (.106^2 ) 1 .323^2 (.096^2 ) 2 (.106^2 )(.098^2 )
s^2 a s^2 b
sbabb= 3 b^2 as^2 b1b^2 bs^2 a 2 s^2 as^2 b
: :
t=
b
sb
; sb=
b
t
=
0.323
3.041
=0.106
t=
b
sb
; sb=
b
t
=
0.403
4.178
=0.096
556 Chapter 15 Multiple Regression
Table 15.4 Regression coefficients and standard errors
for two parts of mediating path
Path a Path b
Maternal Self- Self- Self-
Care Esteem Esteem Efficacy
b 0.403 b .323
sa 0.096 sb .106
t 4.18* t 3.041*
(^12) There is some disagreement over the exact form of these equations, but the one given here is recommended by
Baron and Kenny. The differences among the various equations turn out to be very minor in practice.