Search results for "Ordinal data"
showing 10 items of 14 documents
Treating Ordinal Criteria in Stochastic Weight Space Analysis
2001
We consider discrete co-operative group decision-making problems and suggest a method that is aimed at providing descriptive information about the acceptability of different decision alternatives. The method is a new variant of the Stochastic Multicriteria Acceptability Analysis (SMAA) method for discrete multicriteria decision-making problems with multiple decision makers. The new method is designed for problems where criterion information is completely or partially ordinal, that is, experts (or decision makers) have ranked the alternatives criterion-wise. The approach is particularly suitable for group decision making where either no or only partial preference information is available ass…
Item Response Trees: a recommended method for analyzing categorical data in behavioral studies
2015
Behavioral data are notable for presenting challenges to their statistical analysis, often due to the difficulties in measuring behavior on a quantitative scale. Instead, a range of qualitative alternative responses is recorded. These can often be understood as the outcome of a sequence of binary decisions. For example, faced by a predator, an individual may decide to flee or stay. If it stays, it may decide to freeze or display a threat and if it displays a threat, it may choose from several alternative forms of display. Here we argue that instead of being analyzed using traditional nonparametric statistics or a series of separate analyses split by response categories, this kind of data ca…
Comparing Boosting and Bagging for Decision Trees of Rankings
2021
AbstractDecision tree learning is among the most popular and most traditional families of machine learning algorithms. While these techniques excel in being quite intuitive and interpretable, they also suffer from instability: small perturbations in the training data may result in big changes in the predictions. The so-called ensemble methods combine the output of multiple trees, which makes the decision more reliable and stable. They have been primarily applied to numeric prediction problems and to classification tasks. In the last years, some attempts to extend the ensemble methods to ordinal data can be found in the literature, but no concrete methodology has been provided for preference…
Validity of a questionnaire developed to measure the impact of a high‐fidelity simulation intervention: A feasibility study
2019
To evaluate the validity and responsiveness of a questionnaire developed to measure the impact of a high-fidelity simulation intervention.A pre- and postintervention design.In August 2017, 107 participants completed a questionnaire measuring knowledge and perceived self-confidence pre- and postintervention. Validity of the questionnaire was determined by expert reviews, individual interviews and estimates of the changes in knowledge and perceived self-confidence. The changes were estimated by the differences between paired proportions of participants. The responsiveness of the ordered categorical item scores on self-confidence was evaluated by the measure of systematic group change and indi…
Insight in schizophrenia–course and predictors during the acute treatment phase of patients suffering from a schizophrenia spectrum disorder
2012
AbstractBackgroundTo analyse insight of illness during the course of inpatient treatment, and to identify influencing factors and predictors of insight.MethodsInsight into illness was examined in 399 patients using the item G12 of the Positive and Negative Syndrome Scale (“lack of insight and judgement”). Ratings of the PANSS, HAMD, UKU, GAF, SOFAS, SWN-K and Kemp's compliance scale were performed and examined regarding their potential association with insight. The item G12 was kept as an ordinal variable to compare insight between subgroups of patients.ResultsAlmost 70% of patients had deficits in their insight into illness at admission. A significant improvement of impairments of insight …
Study Approaches in Higher Education Mathematics : Investigating the Statistical Behaviour of an Instrument Translated into Norwegian
2019
The revised two-factor study process questionnaire (R-SPQ-2F) has widely been considered valid and reliable in many contexts for measuring students&rsquo
Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores
1994
After some discussion of the purposes of testing multivariate normality, the paper concentrates on two different approaches to testing linearity: on repeated regression tests of non-linearity and on exploiting properties of a dichotomized normal distribution. Regression tests of linearity are used to examine the adequacy of linear scoring systems for explanatory variables, initially recorded on an ordinal scale. Examples from recent psychological and medical research are given in which the methods have led to some insight into subject-matter.
The importance of wine attributes for purchase decisions: A study of Italian consumers’ perception
2013
"The importance of extrinsic and intrinsic attributes of wine for purchase decisions is the object of a lively debate. As a matter of fact, in recent decades, the shift of consumption motivations from nutritional purposes to drinking for pleasure has caused a persistent decrease in the overall demand. However, the increasing number of product varieties and brands of domestic and imported wine, as well as the increased diversity in wine styles and prices, make the identification of wine purchase drivers difficult. This article investigates the importance of product attributes for Italian consumers when choosing wine. Specifically, a class of statistical models for ordinal data, namely CUB, i…
Classification trees for multivariate ordinal response: an application to Student Evaluation Teaching
2016
Data from multiple items on an ordinal scale are commonly collected when qualitative variables, such as feelings, attitudes and many other behavioral and health-related variables are observed. In this paper we introduce a method to derive a distance-based tree for multivariate ordinal response that allows, when subject-specific characteristics are available, to derive common profiles for respondents giving the same/similar multivariate ratings. Special attention will be paid to the performance comparison in terms of AUC, for three different distances used as splitting criteria. Simulated data an a dataset from a Student Evaluation of Teaching survey will be used as illustrative examples. Th…
A statistical analysis of consumers’ perception of wine attributes
2012
"\"Summary: The importance of extrinsic and intrinsic attributes of wine for consumer. purchase decision is object of a lively debate. This work provides some insights into the. problem by analyzing data from a survey on consumers’ perceptions using CUB models.\""