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This led to a marginal improvement in fit to the model.
Removal of the item resulted in fit to the model, however the PSI value dropped from.79 to.72, indicating a undesirable reduction in the person separation reliability of the scale.
Removal of Item 8 led to an improvement in fit to the model with a non-significant (Bonferroni adjusted) Item-Trait Interaction total chi-square (chi-square = 60.2, df = 36, p = 0.007).
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Although this solution resulted in ordered thresholds for all items, we did not see a substantial improvement in the fit to the model.
Consequently, additional analysis was done by splitting the item passive for women and men (Table 1, Analysis 6), showing almost no change in the fit to the model compared to the initial analysis.
The overall fit statistics for the Impact Mobility subscale initially suggested some misfit to the Rasch model, however removal of item 11 (ability to use a vehicle) resulted in good fit to the model, with strong person separation reliability.
We only added covariates that resulted in a better fit to the model with a p value <0.05.
Consequently, these items were grouped as testlets and additional analysis was carried out, resulting in a better fit to the model (Table 2, Analysis 2).
In all plots: solid lines fit to the model in the inset and the dashed line actual data points.
The RUMM2030 program produces three model fit statistics in order to determine the fit to the model.
The curve shows the fit to the model described in the text.
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