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. Author manuscript; available in PMC: 2010 May 24.
Published in final edited form as: Struct Equ Modeling. 2009;16(1):147–162. doi: 10.1080/10705510802561402

TABLE 4.

Parameter Estimates and Estimation Bias of Path Loadings by Sample Size

Path Sample Size
10
15
20
Contl Pop Clin Pop Contl Pop Clin Pop Contl Pop Clin Pop
LRO ← RM1 .45 .45 .56 .54 .45 .45 .54 .54 .45 .45 .54 .54
LAUD ← CING .37 .38 .19b .18 .37 .38 .19a .18 .38 .38 .19a .18
RAUD ← CING .24b .22 .40 .41 .22 .22 .41 .41 .22 .22 .41 .41
RRO ← LM1 .26c .22 .54 .54 .23a .22 .54 .54 .21a .22 .54 .54
LM1 ← SMA .14b .13 .36 .36 .13 .13 .36 .36 .14a .13 .36 .36
RM1 ← SMA .41b .39 .52 .53 .38 .39 .53 .53 .39 .39 .53 .53
LAUD ← RRO .61 .62 .30 .30 .61 .62 .30 .30 .62 .62 .30 .30
RM1 ← LAUD .41 .41 .14 .14 .40 .41 .14 .14 .41 .41 .14 .14

Path Sample Size
25
50
100
Contl Pop Clin Pop Contl Pop Clin Pop Contl Pop Clin Pop

LRO ← RM1 .45 .45 .55 .54 .45 .45 .55 .54 .45 .45 .54 .54
LAUD ← CING .38 .38 .17a .18 .38 .38 .17a .18 .38 .38 .18 .18
RAUD ← CING .21a .22 .41 .41 .21a .22 .41 .41 .21a .22 .41 .41
RRO ← LM1 .21a .22 .54 .54 .23a .22 .54 .54 .23a .22 .54 .54
LM1 ← SMA .14 .13 .36 .36 .13 .13 .36 .36 .13 .13 .36 .36
RM1 ← SMA .39 .39 .53 .53 .39 .39 .53 .53 .39 .39 .53 .53
LAUD ← RRO .62 .62 .30 .30 .62 .62 .30 .30 .62 .62 .30 .30
RM1 ← LAUD .41 .41 .14 .14 .40 .41 .15 .14 .40 .41 .14 .14

Note. Contl = control group Monte Carlo estimates; Clin = clinical group Monte Carlo estimates; Pop = population parameters; LRO = left rolandic operculum; RM1 = right primary motor cortex; LAUD = left auditory cortex; CING = cingulate cortex; RAUD = right auditory cortex; RRO = right rolandic operculum; LM1 = left primary motor cortex; SMA = supplementary motor area.

a

Bias greater than 3%.

b

Bias greater than 5%.

c

Bias greater than 10%.