Measuring change in longitudinal research on pragmatic competence: A multinomial logistic model
نویسندگان
چکیده
منابع مشابه
A mixed-effects multinomial logistic regression model.
A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integra...
متن کاملMultinomial logistic regression
Multinomial logistic regression is the extension for the (binary) logistic regression when the categorical dependent outcome has more than two levels. For example, instead of predicting only dead or alive, we may have three groups, namely: dead, lost to follow-up, and alive. In the analysis to follow, a reference group has to be chosen for comparison, the appropriate group would be the alive, i...
متن کاملA Multinomial Logistic Model of Global Tropical Deforestation
Researchers have failed to reach on a consensus about the impact of different factors on tropical deforestation. Such failure has its origins in the problems with: deforestation data, hypothesizing the one-way effect of explanatory variables on deforestation, and estimation techniques. In this paper, these problems are dealt with. The data problem is taken care of by classifying the data on rat...
متن کاملMultinomial Logistic Regression Ensembles
This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the pro...
متن کاملMultinomial Logistic Regression with SPSS
Subjects were engineering majors recruited from a freshman-level engineering class from 2007 through 2010. Data were obtained for 256 students. The outcome variable of interest was retention group: Those who were still active in our engineering program after two years of study were classified as persisters. Those who were no longer in our engineering program were classified as having left in go...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrical Letters
سال: 2020
ISSN: 1896-3811
DOI: 10.2478/bile-2020-0013