The hyperbolic cosine unfolding model for direct responses of persons to individual stimuli is elaborated in three ways. First, the parameter of the stimulus, which reflects a region within which people located there are more likely to respond positively than negatively, is shown to be a property of the data and not arbitrary as first supposed. Second, the model is used to construct a related model for pairwise preferences. This model, for which joint maximum likelihood estimates are derived, satisfies strong stochastic transitivity. Third, the role of substantive theory in evaluating the fit between the data and the models, in which unique solutions for the estimates are not guaranteed, is explored by analyzing responses of o...
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...
Over the last decade, researchers have come to recognize the benefits of ideal point item response t...
The hyperbolic cosine unfolding model for direct responses of persons to individual stimuli is elabo...
The hyperbolic cosine unfolding model for direct responses of persons to individual stimuli is elabo...
Social-psychological variables are typically measured using either cumulative or unfolding respons...
Social-psychological variables are typically measured using either cumulative or unfolding response ...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle t...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle ...
A latent class scaling approach is presented for modeling paired comparison and "pick-any/t" data ...
Binary or graded disagree-agree responses to atti-tude items are often collected for the purpose of ...
This article proposes an item response theory (IRT) approach to constructing and scoring multidimens...
This article proposes an item response theory (IRT) approach to constructing and scoring multidimens...
Binary or graded disagree-agree responses to attitude items are often collected for the purpose of ...
Unfolding data for unidimensional variables con structed from direct responses (e.g., agreement or d...
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...
Over the last decade, researchers have come to recognize the benefits of ideal point item response t...
The hyperbolic cosine unfolding model for direct responses of persons to individual stimuli is elabo...
The hyperbolic cosine unfolding model for direct responses of persons to individual stimuli is elabo...
Social-psychological variables are typically measured using either cumulative or unfolding respons...
Social-psychological variables are typically measured using either cumulative or unfolding response ...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle t...
A probabilistic model is developed for the pair-comparison design in which the unfolding principle ...
A latent class scaling approach is presented for modeling paired comparison and "pick-any/t" data ...
Binary or graded disagree-agree responses to atti-tude items are often collected for the purpose of ...
This article proposes an item response theory (IRT) approach to constructing and scoring multidimens...
This article proposes an item response theory (IRT) approach to constructing and scoring multidimens...
Binary or graded disagree-agree responses to attitude items are often collected for the purpose of ...
Unfolding data for unidimensional variables con structed from direct responses (e.g., agreement or d...
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...
Over the last decade, researchers have come to recognize the benefits of ideal point item response t...