We set M equal to 50 for the standard model (one parameter) and 100 for the alternative models (two parameters).
To optimize the MacCAT-CR scoring system and to determine necessary item weights, we will use a specific extension of the Rasch measurement model One Parameter Logistic Model (OPLM) [ 36].
The backward elimination procedure uses the likelihood ratio test (LRT) to simplify a complex model one parameter at a time; in this case we start at the top of Figure 1 (FE1) and use the LRT to remove non-significant parameters in a step-wise fashion.
With the purpose of verifying the pattern of unexpected item responses, a residual analysis was performed using Rasch model (one-parameter logistic model).
All combinations of these were considered: models with one parameter allowed to vary across seasons, models with two parameters allowed to vary across seasons, and a model with all parameters allowed to vary across seasons.
For cardiovascular diseases, for EC and OC, the constrained lag models estimated by natural cubic splines gave significantly better fit based on the likelihood ratio test than the constrained lag models with one parameter that assume no patterns.
A decrease in the OFV of 3.84 points between hierarchical models with one parameter differing was considered as a statistical difference at the 5%% significance level.
The most common approach to analysing the data, even if it is not the best one for continuous variables [ 29], is to fit categorical log-linear Poisson regression models with one parameter per level of age, cohort and period.
This is different from a model-dependent covariance matrix model with one parameter for each of its elements.
The model depends on one parameter, the cut-off λ, that must be fit by comparison to actual sequence data.
