Polytomous


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Po`lyt´o`mous


a.1.(Bot.) Subdivided into many distinct subordinate parts, which, however, not being jointed to the petiole, are not true leaflets; - said of leaves.
References in periodicals archive ?
To investigate the relation between pesticides and the two main clinical subtypes of PD among men, we used polytomous logistic regression with a three-level outcome variable [controls (reference), tremor dominant, non-tremor dominant]; this approach allowed us to perform a test of heterogeneity of the association of pesticides with the two subtypes (Morris et al.
However, the poLCA package in R requires the use of polytomous outcome variables.
The most general index constructed, a polytomous partial credit model, is continuous, censored at zero with a maximum value of 10.
Separate models were estimated based on distributions of health-related quality of life measures with normally distributed HRQOL values, polytomous ordinal responses of perceived general health status, and non-normal distributed unhealthy and healthy days scores.
To enable reasonable estimates of item locations in Rasch analysis of polytomous items, 10 observations per rating scale step have been shown to be acceptable for preliminary investigations [24], although these results should be interpreted cautiously [25].
A polytomous regression model is appropriate rather than a proportional odds model because the proportional odds assumption was not met for either group ([chi square]=153.
Because the dependent variable is polytomous in nature, multinomial logistic regression models with random intercepts for school identifiers are used.
Ordinal regression, using the Polytomous Universal Model (PLUM), with a link Negative Log-Log, was utilized to analyze the data and test the hypotheses.
Using the Polytomous Universal Model and the ordinal regression to examine the relationship of demographic variables and SoC, no statistical significance was seen with the highest SoC and age (p = .
More sophisticated approaches are required to calculate PAF when a polytomous RF is involved.
Taking discrete and continuous variables in turn, they cover binary, nominal polytomous, ordinary categorical, count, and doubly bounded continuous variables; censoring and truncation; and extensions.
Polytomous dummy variables were created for the answer options, i.