Search results for "MEASUREMENT ERROR"

showing 10 items of 11 documents

Sensitivity of the SIMulation-EXtrapolation (SIMEX) methodology to mis-specification of the statistical properties of the measurement errors

2023

In hydrometeorological and environmental studies, it is common to seek relations between two variables (predictand and predictor), one of which (predictor) is affected by uncertainties. These errors unavoidably affect the results of the analyses by providing erroneous estimates of the parameters of the predictor-predictand model. A possible solution is represented by the SIMulation-EXtrapolation (SIMEX) methodology. This approach follows two steps: (1) perturbation of the predictor with increasing levels of uncertainties (multiples of the known error variance); and (2) finding a relation between the model's parameters and level of uncertainty, which allows their extrapolation to the error-f…

Atmospheric ScienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSIMEX measurement errors
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Longitudinal Stability of Reading Difficulties : Examining the Effects of Measurement Error, Cut-Offs, and Buffer Zones in Identification

2020

This study examined the stability of reading difficulties (RD) from grades 2 to 6 and focused on the effects of measurement error and cut-off selection in the identification of RD and its stability with the use of simulations. It addressed methodological limitations of prior studies by (a) applying a model-based simulation analysis to examine the effects of measurement error and cut-offs in the identification of RD, (b) analyzing a non-English and larger sample, and (c) examining RD in both reading fluency and reading comprehension. Reading fluency and reading comprehension of 1,432 Finnish-speaking children were assessed in grades 2 and 6. In addition to the use of single cut-off points on…

luetun ymmärtäminenlcsh:BF1-990cut-offssujuvuuspitkittäistutkimusstabilityreading comprehensionsimulationreading fluencylcsh:PsychologymittausvirheetoppimisvaikeudetPsychologyreading difficultiesstabiilius (muuttumattomuus)lukihäiriötarviointiGeneral Psychologymeasurement errorOriginal Research
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Development of an individualized familiarization method for vertical jumps

2013

OBJETIVO: Propor um método de familiarização individualizado para saltos verticais e verificar o seu efeito na variabilidade intrassujeito. MÉTODOS: Cinquenta e três homes (média ± DP; idade 23,5 ± 3,3 anos; estatura 1,76 ± 0,08 m; massa 72,8 ± 8,6 kg; percentual de gordura 12,9 ± 5,2%) realizaram sucessivos saltos até atingir o nível de estabilidade proposto. Após 48 h este processo era repetido e a estabilidade entre dias era verificada, se necessário, mais sessões eram realizadas. O nível de estabilidade foi determinado por um teste z, com intervalo de confiança de 95%. Após o processo de familiarização, duas sessões experimentais adicionais foram realizadas para determinar a confiabilid…

erro de mediçãoexercisebusiness.industryestudos metodológicosCoefficient of variationoutcome measurement errorsexercícioPhysical Therapy Sports Therapy and RehabilitationconfiabilidadeConfidence intervalStandard errorSquat jumpreliability of resultsmethodological studyCountermovement jumpPerformance monitoringOrthopedics and Sports Medicinelcsh:Sports medicineNuclear medicinebusinesslcsh:RC1200-1245MathematicsRevista Brasileira de Medicina do Esporte
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Encuestas a pie de urna en España. ¿Error muestral o sesgo de no respuesta?

2016

Countless examples of misleading forecasts on behalf of both pre-election and exit polls can be found all over the world. Non-representative samples due to differential nonresponse have been claimed as being the main reason for inaccurate exit-poll projections. In real inference problems, it is seldom possible to compare estimates and true values. Electoral forecasts are an exception. Comparisons between estimates and final outcomes can be carried out once votes have been tallied. In this paper, we examine the raw data collected in seven exit polls conducted in Spain and test the likelihood that the data collected in each sampled voting location can be considered as a random sample of actua…

Spanish regional electionsmedia_common.quotation_subjectlcsh:HM401-1281InferenceContext (language use)01 natural sciencesPredicciones en la noche electoral010104 statistics & probabilityElecciones regionales españolasnonresponseVoting050602 political science & public administrationEconometricsEconomicsNon-response biasQuality (business)0101 mathematicsNo-respuestamedia_commonElection night forecasts05 social sciencesGeneral Social SciencesDifferential (mechanical device)Error de medida0506 political scienceTest (assessment)lcsh:Sociology (General)Distribución multi-hipergeométricaRaw datameasurement errormulti-hypergeometric distributionRevista Internacional de Sociología
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Pre-training inter-rater reliability of clinical instruments in an international psychosis research project.

2021

International audience

Research designPsychosisINFORMATIONIMPACTApplied psychologyMEDLINEAssessor selection Pre-training inter-rater reliability Psychosis instruments03 medical and health sciences0302 clinical medicineMedicineHumansBiological PsychiatryComputingMilieux_MISCELLANEOUSObserver VariationREPRODUTIBILIDADE DE RESULTADOSbusiness.industryPre-training inter-rater reliabilityReproducibility of Resultsmedicine.disease030227 psychiatryPsychiatry and Mental healthInter-rater reliabilityAssessor selectionTRIALSPsychotic DisordersResearch Design[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MEASUREMENT ERRORbusinessObserver variation030217 neurology & neurosurgeryPsychosis instrumentsSchizophrenia research
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Sexing birds using discriminant function analysis: a critical appraisal.

2011

9 pages; International audience; Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex determination in field studies on cryptically monomorphic bird species. However, behind the apparent standardization and relative simplicity of DFA lie subtle differences and pitfalls that have been neglected in some studies. Most of these concerns directly affect assessment of the discriminant performance, a parameter of crucial importance in practice because it provides a measure of the quality of an equation that may be used in later field studies. Using results from 141 published studies and simulations based on a large data set …

0106 biological sciencesZenaida auritaZenaida auritaZenaida dovesSexing[SDV.BID]Life Sciences [q-bio]/Biodiversitysample size effect010603 evolutionary biology01 natural sciencescross-validationCross-validation010605 ornithologyDiscriminant function analysisStatisticsEcology Evolution Behavior and Systematics[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]biology[ STAT.AP ] Statistics [stat]/Applications [stat.AP]biology.organism_classificationmorphological measurementsDFADiscriminantSample size determinationsexual dimorphismAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyJackknife resamplingmeasurement errors
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Uncertainty evaluation in the measurements for the electric power quality analysis

2013

The paper deals with the uncertainty estimation in the measurements performed to assess the electric power quality. In a first steps, according to the 'ISO - Guide to Expression of the Uncertainty in Measurements' all the error sources, which give a significant contribution to the combined uncertainty associated to the measurement results, are identified. Successively, in order to analyze how the errors propagate through the measurement chain, a Monte Carlo based approach is proposed. The method exploits an ad-hoc developed simulator of the measurement process, which takes into account the particular way of propagation of all the identified error sources. Eventually, with the aim of validat…

EngineeringElectric power qualitymeasurement standardpower system measurementMeasurement uncertaintyMonte Carlo methodpower supply qualitySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower measurementpower quality analysisUncertainty analysisObservational errorelectric power quality analysiSeries (mathematics)business.industryProcess (computing)UncertaintyData acquisitionmeasurement uncertainty evaluationerror source identificationCurrent measurementExpression (mathematics)Reliability engineeringmeasurement systemISO standardguide to expression of the uncertainty in measurementMeasurement uncertaintybusinessad hoc developed simulatorNoiseAlgorithmSettore ING-INF/07 - Misure Elettriche E Elettronichemeasurement error
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Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021)

2023

In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response to their article highlights that the relationship they find between PLS-SEM and CB-SEM structural parameters is not universally valid, and that consequently, tests on individual parameters in CB-SEM and PLS-SEM generally do not fulfill the same pur…

partial least squares structural equation modeling (PLS-SEM)Sociology and Political ScienceUT-Hybrid-DGeneral Decision Sciencesrakenneyhtälömallitbias correctionMathematics and StatisticsmittausvirheetModeling and Simulationfactor score regressionvirheanalyysiGeneral Economics Econometrics and Financetilastolliset mallitmeasurement error
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The effect of round-off error on long memory processes

2011

We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller than one, and we compute exactly this scaling factor. Consequently, we find that the discretized process is also long memory with the same Hurst exponent as the original process. We consider the properties of two estimators of the Hurst exponent, namely the local Whittle (LW) estimator and the Detrended Fluctuation Analysis (DFA). By using analytical considerations and numerical simulations we show that, in presence of round-off error, both…

Economics and EconometricsDiscretizationGaussianMathematics - Statistics TheoryStatistics Theory (math.ST)long memory processeFOS: Economics and businesssymbols.namesakeStatisticsFOS: MathematicsApplied mathematicsMathematicsHurst exponentStatistical Finance (q-fin.ST)Observational errorQuantitative Finance - Statistical FinanceEstimatordetrended fluctuation analysiround-off errorlong memory processesAutocovariancesymbolsDetrended fluctuation analysisRound-off errorSocial Sciences (miscellaneous)Analysismeasurement errorlocal Whittle estimator
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Educational attainment in the OECD, 1960-2010. Updated series and a comparison with other sources

2015

© 2015 Elsevier Ltd. This paper describes the construction of updated series on the educational attainment of the adult population for a sample of 22 OECD countries covering the period 1960-2010. These series are then compared with (the OECD subsample of) the latest available version of other cross-country data sets on average years of schooling that are commonly used in the literature. Finally, statistical measures of the information content of the different series are constructed using the procedure developed by Krueger and Lindhal (K&L, 2001) and de la Fuente and Doménech (D&D, 2006). The exercise shows that there are important differences in quality across data sets and suggests that su…

Economics and EconometricsSeries (mathematics)Adult populationSample (statistics)Oecd countriesEducational attainmentEducationMeasurement errorStatisticsEconometricsEconomicsHuman capitalSchooling
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