Search results for "Ordinal data"

showing 4 items of 14 documents

Modeling Ordinal Item Responses via Binary GLMMs and Alternative Link Functions: An Application to Measurement of a Perceived Service Quality

2010

Evaluation of a service on the basis of consumer opinion is a widespread practice in many fields. The assessment of perceived quality [7] of a service is generally carried out through administration of a questionnaire, composed of several items with responses posed on an ordinal scale, whereby each item represents an important feature of the evaluated service [3, 7]. In this context, the aim is to evaluate something similar to the external effectiveness, that is the part of efficacy related to the satisfaction expressed by the service users for the provided service. A particular and important example of service users is represented by students’ responses measuring the perceived quality of s…

Service (business)Service qualityParametric link GLMM Rasch models ordinal dataComputer sciencemedia_common.quotation_subjectApplied psychologyContext (language use)Service providerCertificateType of serviceFront officePerceptionOperations managementSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticamedia_common
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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…

Statistics and ProbabilityOrdinal dataMultivariate statisticsComputer sciencebusiness.industryOrdinal ScaleDecision treeGeneral Social SciencesDecision tree Ordinal response Student Evaluation of Teaching Distances02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesOrdinal regression010104 statistics & probabilityStatistics0202 electrical engineering electronic engineering information engineeringProfiling (information science)020201 artificial intelligence & image processingTree (set theory)Artificial intelligence0101 mathematicsbusinesscomputerOrdinal response
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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.

Statistics and ProbabilityOrdinal dataNormal distributionNormality testRegression testingOrdinal ScaleStatisticsEconometricsMultivariate normal distributionVariance (accounting)Statistics Probability and UncertaintyStatistical hypothesis testingMathematicsApplied Statistics
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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…

escalationpredator-prey interactionsBiologyMachine learningcomputer.software_genreGeneralized linear mixed modelSoftwareethologyrepeatabilityCategorical variableEcology Evolution Behavior and Systematicsbehavioral analysisSequenceta112business.industryScale (chemistry)Nonparametric statisticsRitem response theoryresponse treesOutcome (probability)ordinal dataRange (mathematics)ta1181Animal Science and Zoologycategorical dataArtificial intelligencebusinesscomputerGLMMBehavioral Ecology
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