Search results for "Percentile rank"

showing 4 items of 4 documents

A reanalysis of the center for epidemiological studies depression scale (CES-D) using non-parametric item response theory

2020

Abstract The “Center for Epidemiological Studies Depression Scale” (CES-D; Radloff, 1977 ) is a questionnaire used world-wide to measure depressive symptoms. Although the original four-factor-structure has been widely accepted and replicated, some studies point to other factor-structures like a one- and two-factor-structure. The goal of the current study was to evaluate the factor structure of the CES-D (one-, two- and four-factor-structure), which was found using classical test theory (CTT), with two non-parametric item-response-theory-models (Mokken-Scaling; Monotone-homogeneity-model; MHM and Double-monotonicity-model; DMM). To this end, a representative German sample was analyzed (N = 2…

AdultMalemedicine.medical_specialtyPsychometricsStability (learning theory)Sample (statistics)Sensitivity and SpecificityStatistics NonparametricClassical test theory03 medical and health sciences0302 clinical medicinePercentile rankSurveys and QuestionnairesItem response theoryStatisticsEpidemiologymedicineHumansCenter (algebra and category theory)Biological PsychiatryPsychiatric Status Rating ScalesModels StatisticalDepressionNonparametric statistics030227 psychiatryPsychiatry and Mental healthFemalePsychology030217 neurology & neurosurgeryPsychiatry Research
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Multicenter investigation of 1,036 subjects using a standardized method for the assessment of olfactory function combining tests of odor identificati…

2000

“Sniffin’ Sticks” is a test of nasal chemosensory performance that is based on penlike odor-dispensing devices. It is comprised of three tests of olfactory function: tests for odor threshold, discrimination and identification. Previous work has already established its test-retest reliability and validity in comparison to established measures of olfactory sensitivity. The results of this test are presented as a composite TDI score – i.e., the sum of results obtained for threshold, discrimination and identification measures. The present multicenter investigation aimed at providing normative values in relation to different age groups. To this end, 966 patients were investigated in 11 centers. …

Olfactory systemMalemedicine.medical_specialtyAdolescentAnosmiaOlfactory sulcusOlfactionAudiologyFunctional LateralityOlfaction DisordersPercentile rankSex FactorsHyposmiaSniffingmedicinePsychophysicsHumansEvoked PotentialsAgedAged 80 and overbusiness.industryReproducibility of ResultsGeneral MedicineMiddle AgedReference StandardsParosmiaSurgerySmellOtorhinolaryngologySensory ThresholdsOdorantsFemalemedicine.symptombusinessEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
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Co-citation Percentile Rank and JYUcite : a new network-standardized output-level citation influence metric and its implementation using Dimensions A…

2022

AbstractJudging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve (i) the concept of journal, in one way or another, (ii) calculating arithmetic averages from extremely skewed distributions, and (iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an examp…

Computer scienceValue (computer science)General Social SciencesviiteanalyysiResolution (logic)Library and Information Sciencescomputer.software_genreCo-citationComputer Science ApplicationsSet (abstract data type)Percentile rankcitation count normalizationMetric (mathematics)Data miningarticle-level metricsCitationcomputerarviointitieteellinen julkaisutoimintabibliometriikka
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How to standardize (if you must)

2017

In many situations we are interested in appraising the value of a certain characteristic for a given individual relative to the context in which this value is observed. In recent years this problem has become prominent in the evaluation of scientific productivity and impact. A popular approach to such relative valuations consists in using percentile ranks. This is a purely ordinal method that may sometimes lead to counterintuitive appraisals, in that it discards all information about the distance between the raw values within a given context. By contrast, this information is partly preserved by using standardization, i.e., by transforming the absolute values in such a way that, within the s…

Normalization (statistics)z-scoreLocation statisticsStandardizationMonotonic functionLibrary and Information Sciences050905 science studiesSocial Sciences (all)NOPercentile rankCitation analysisEconometricsMathematicsCitation analysis; Dispersion statistics; Location statistics; m-score; Normalization; Standardization; z-score; Social Sciences (all); Computer Science Applications1707 Computer Vision and Pattern Recognition; Library and Information Sciences05 social sciencesCounterintuitiveGeneral Social SciencesLocation statisticDispersion statisticsComputer Science Applications1707 Computer Vision and Pattern RecognitionStandardizationComputer Science Applicationsm-scoreNormalizationConceptual frameworkCitation analysisCitation analysiNormative0509 other social sciences050904 information & library sciencesDispersion statistic
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