Search results for "ordinal data"
showing 10 items of 14 documents
The best way to assess visually induced motion sickness in a fixed-base driving simulator
2017
Abstract Objective Driving simulator usage is becoming more widespread, yet many users still experience substantial motion sickness-like symptoms induced by optical flow, called visually induced motion sickness (VIMS). The Fast Motion sickness Scale (FMS) allows for continuous on-line assessment of VIMS. Using mixed models for ordinal data, this study investigated how to optimally analyze FMS data, and then used the resulting models to examine the development of symptoms over time in detail. Additionally, the study explored the impact of specific VIMS-inducing road elements. Methods Twenty-eight healthy young adults without prior simulator experience completed six courses on two days in a f…
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 …
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.\""
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…
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…
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…
Multicriteria Decision Analysis for Choosing the Remediation Method for a Landfill Based on Mixed Ordinal and Cardinal Information
2009
We describe a real-life application of a multicriteria method in the context of remediating a landfill in Finland. The landfill was used for dumping industrial waste during the years 1950 to 1965. During that time many harmful chemicals were stored in landfills among other waste. Therefore, this—and possibly several other—landfills have to be remediated. In this application, seven different remediation options were evaluated based on 13 criteria. For some criteria, cardinal measures with associated uncertainties were obtained. For other criteria, only ordinal (ranking) information was available. The problem was analyzed using the Stochastic Multicriteria Acceptability Analysis with Ordinal …
Validierung der Messung gesundheitsbezogener Lebensqualität mittels des Short-Form-Health-Survey-12 (SF-12 Version 2.0) in einer deutschen Normstichp…
2020
Validation of the Short-Form-Health-Survey-12 (SF-12 Version 2.0) assessing health-related quality of life in a normative German sample Objectives: Convergent and divergent validation of the Short-Form-Health-Survey-12 assessing HRQoL by analyzing its associations with depressiveness (PHQ-9), social support (OSS-3) and satisfaction with life (SWLS). Methods: A normative German sample (N = 2.524) was analyzed using correlation, regression as well as confirmatory factor analysis and structural equation modelling for ordinal data. Results: The SF-12-scale Mental Health is associated most strongly with the validation criteria (PHQ: r[scales/constructs] = -.73/-.88, OSS-3: r = .35/.55, SWLS: r =…
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