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. 2014 Feb 13;11:17. doi: 10.1186/1479-5868-11-17

Table 1.

Parameter estimates and inferential statistics for the growth models (N = 155)

Model 1: unconditional lLinear Estimate S.E. Est./S.E. P-value
Initial Percent Overweight (POW) with slope (rate of change)
3.502
2.565
1.366
0.172
Means
 
 
 
 
  Initial POW
72.096
3.723
19.365
0.000
  Slope
-0.138
0.039
-3.561
0.000
Variances
 
 
 
 
  Initial POW
1123.825
198.105
5.673
0.000
  Slope (rate of change)
0.167
0.032
5.156
0.000
Residual variances*
 
 
 
 
  POW initial
17.158
5.242
3.273
0.001
  POW week 12
17.158
5.242
3.273
0.001
  POW week 24
17.158
5.242
3.273
0.001
Model 2: predictors of rate of change
Estimate
S.E.
Est./S.E.
P-value
Initial POW
0.003
0.002
1.617
0.106
Age in months
0.001
0.001
0.672
0.502
Facilitator characteristics (time 1)
0.000
0.010
0.025
0.980
Facilitator characteristics (time 2)
0.064
0.019
3.433
0.001
Expert rating (time 1)
-0.064
0.046
-1.391
0.164
Expert rating (time 2)
-0.082
0.051
-1.615
0.106
Percent content adherence (time 1)
-0.016
0.005
-2.870
0.004
Percent content adherence (time 2) -0.027 0.009 -3.132 0.002

*residual variances constrained to be equal.

Note. POW = Percent Overweight; Facilitator Characteristics = Sum of the 9 item facilitator characteristics scale.