Add to ORKGThis article describes a nonparametric unidimensional unfolding model for dichotomous data (van Schuur 1984) and shows how it can be extended to multicategory data such as Likert-type rating data. This extension is analo-gous to Molenaar's (1982) application of Mokken's (1970) nonparametric unidimensional cumulative scaling model. The model is illustrated with an analysis of five-point preference ratings given in 1980 to five political presi-dential candidates by Democratic and Republican party activists in Missouri.... It has something to do with numbers..
A latent class scaling approach is presented for modeling paired comparison and "pick-any/t" data ...
A model is proposed which treats rankings given by a group of judges as representing regions in an i...
The most commonly used models for estimating measures of latent variables from polytomous rating sca...
This paper shows a general nonparametric unfolding technique for maximizing the correct classificati...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for ap...
This paper shows a general non-parametric unfolding technique for maximizing the correct classificat...
Unfolding is a scaling method introduced by Coombs (1950) to model the judgment of stimuli among a s...
Unfolding is a scaling method introduced by Coombs (1950) to model the judgment of stimuli among a s...
There has been great advancement on research for preferential choice in field of marketing. When we ...
This paper presents the development of a new stochastic multidimensional (scaling) unfolding (Coombs...
A class of unidimensional choice models is described. Thurstone’s paired comparisons model, Case 5...
A latent class scaling approach is presented for modeling paired comparison and "pick-any/t" data ...
A model is proposed which treats rankings given by a group of judges as representing regions in an i...
The most commonly used models for estimating measures of latent variables from polytomous rating sca...
This paper shows a general nonparametric unfolding technique for maximizing the correct classificati...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
Multidimensional unfolding can be seen as a special case of Multidimensional Scaling (MDS) with two ...
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for ap...
This paper shows a general non-parametric unfolding technique for maximizing the correct classificat...
Unfolding is a scaling method introduced by Coombs (1950) to model the judgment of stimuli among a s...
Unfolding is a scaling method introduced by Coombs (1950) to model the judgment of stimuli among a s...
There has been great advancement on research for preferential choice in field of marketing. When we ...
This paper presents the development of a new stochastic multidimensional (scaling) unfolding (Coombs...
A class of unidimensional choice models is described. Thurstone’s paired comparisons model, Case 5...
A latent class scaling approach is presented for modeling paired comparison and "pick-any/t" data ...
A model is proposed which treats rankings given by a group of judges as representing regions in an i...
The most commonly used models for estimating measures of latent variables from polytomous rating sca...