Table 1
Comparison of fitting alternative polynomial change trajectories

Table 1
Comparison of fitting alternative polynomial change trajectories
Table summary
This table displays the results of comparison of fitting alternative polynomial change trajectories. This information is grouped by untransformed HUI3, model 1, model 2, and model 3 (appearing as column headers).
  Untransformed HUI3 Model 1 Model 2 Model 3
Fixed effects  
Intercept 0.882576Note ** 0.627531Note ** 0.952846Note ** 1.076387Note **
Mean age -0.001724Note ** -0.000962Note ** -0.000682Note ** -0.005272Note **
Mean age squared -0.000050Note ** -0.000033Note ** -0.000023Note ** -0.000018Note **
Mean age cubed -0.000004Note ** -0.000003Note ** -0.000002Note ** -0.000008Note **
Deceased -0.668605Note ** -0.489359Note ** -0.340475Note ** -1.134217Note **
Institutionalized -0.459094Note ** -0.352409Note ** -0.253395Note ** -0.810786Note **
FemaleNote ... ... ... ...
Male 0.000633 0.003433 0.002511 0.023969Note *
Secondary graduation or more ... ... ... ...
Less than secondary graduationNote -0.037715Note ** -0.023636Note ** -0.016734Note ** -0.082577Note **
Married/Common-law/Living with partnerNote ... ... ... ...
Single -0.01384 -0.00743 -0.00519 -0.03341
Divorced/Separated/Widowed -0.014254Note ** -0.00808Note ** -0.005672Note ** -0.030819Note **
High income ... ... ... ...
Middle income -0.020276Note ** -0.013019Note ** -0.009237Note ** -0.042748Note **
Low income -0.045075Note ** -0.029279Note ** -0.020741Note ** -0.091397Note **
Random effects  
Level-1 (sigma-squared subscript epsilon (within-person)) 0.024419Note ** 0.010790Note ** 0.00542Note ** 0.106314Note **
Level-2 (sigma subscript zeta zero squared(intercept)) 0.016104Note ** 0.006713Note ** 0.003357Note ** 0.069918Note **
Skewness  
Level-1 -1.35 -1.77 -1.88 -0.74
Level-2 -1.59 -1.91 -1.93 -1.06
* significantly different from estimate for reference group (p<0.0005)
** significantly different from estimate for reference group (p<0.0001)
reference category
... not applicable
Notes: Untransformed: HUI3 as a dependent variable. Model 1: ln (HUI3+1) as a dependent variable. Model 2: Square-root of [(HUI3+0.36)/1.36] as a dependent variable. Model 3: Arcsine of [2 × (HUI3 + 0.36) / (1 + 0.36) – 1] as a dependent variable
Source: 1994/1995 to 2006/2007 National Population Health Survey, longitudinal square file.
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