Search results for "Causal model"

showing 10 items of 40 documents

A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism

2009

This study presents a new algorithm for estimating causal models based on multiblock PLS method. This new algorithm is tested in a particular post-consumption behavior with the aim of validating a complex system of relations between antecedents of value, perceived value, satisfaction and loyalty. The results are compared with the classical LVPLS method: both methods support the proposed structural relations, but the explained variance is slightly higher with the new algorithm.

Service qualityComputer sciencemedia_common.quotation_subjectStatisticsLoyaltyComplex systemEconometricsCustomer satisfactionLatent variableExplained variationValue (mathematics)media_commonCausal model
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Causal models for monitoring University of Palermo ordinary financinf fund

2012

Settore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticacausal model DAG bayesian network
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How does academic achievement come about: cross-cultural and methodological notes

2001

Abstract This chapter discusses the possible impact of cross-national diversity in academic institutions, in the selection of students, in the importance of national achievement tests, and cross-national differences in the variation of social background factors. It ends with the strengths and limitations of using path modeling in cross-sectional research. It is of particular interest to note whether study behaviors mediate the impact of students’ abilities on college success, or whether students’ abilities mediate the effect of study behaviors on achievement. A secondary concern is the extent to which the same causal model applies equally to different universities in different countries.

Social backgroundmedia_common.quotation_subjecteducationAcademic achievementEducationVariation (linguistics)Mathematics educationSelection (linguistics)Cross-culturalAchievement testPsychologySocial psychologyCausal modelDiversity (politics)media_commonInternational Journal of Educational Research
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Study Design in Causal Models

2014

The causal assumptions, the study design and the data are the elements required for scientific inference in empirical research. The research is adequately communicated only if all of these elements and their relations are described precisely. Causal models with design describe the study design and the missing-data mechanism together with the causal structure and allow the direct application of causal calculus in the estimation of the causal effects. The flow of the study is visualized by ordering the nodes of the causal diagram in two dimensions by their causal order and the time of the observation. Conclusions on whether a causal or observational relationship can be estimated from the coll…

Statistics and ProbabilityEmpirical researchTheoretical computer scienceGraph (abstract data type)Graphical modelStatistics Probability and UncertaintyCausal structureMissing dataCausalityStructural equation modelingCausal modelMathematicsScandinavian Journal of Statistics
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Identifying Causal Effects with the R Package causaleffect

2017

Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure. All identifiable causal effects can be derived using the rules of do-calculus, but the rules themselves do not give any direct indication whether the effect in question is identifiable or not. Shpitser and Pearl constructed an algorithm for identifying joint interventional distributions in causal models, which contain unobserved variables and induce directed acyclic graphs. This algorithm can be seen as a repeated application of the rules of do-calculus and known properties of probabilities, and it ultimately eit…

Statistics and ProbabilityFOS: Computer and information sciencesTheoretical computer sciencecausalityDistribution (number theory)C-componentComputer sciencecausal model02 engineering and technologyCausal structureMethodology (stat.ME)03 medical and health sciences0302 clinical medicinedo-calculusJoint probability distribution0202 electrical engineering electronic engineering information engineering030212 general & internal medicineDAG; do-calculus; causality; causal model; identifiability; graph; C-component; hedge; d-separationlcsh:Statisticslcsh:HA1-4737Statistics - Methodologycomputer.programming_languageCausal modelta112DAGd-separationgraphhedgeidentifiabilityExpression (mathematics)PEARL (programming language)Action (philosophy)kausaliteetti020201 artificial intelligence & image processingStatistics Probability and UncertaintycomputerSoftware
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Systematic handling of missing data in complex study designs : experiences from the Health 2000 and 2011 Surveys

2016

We present a systematic approach to the practical and comprehensive handling of missing data motivated by our experiences of analyzing longitudinal survey data. We consider the Health 2000 and 2011 Surveys (BRIF8901) where increased non-response and non-participation from 2000 to 2011 was a major issue. The model assumptions involved in the complex sampling design, repeated measurements design, non-participation mechanisms and associations are presented graphically using methodology previously defined as a causal model with design, i.e. a functional causal model extended with the study design. This tool forces the statistician to make the study design and the missing-data mechanism explicit…

Statistics and Probabilitymultiple imputationComputer sciencecomputer.software_genre01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicinenon-responseSampling design030212 general & internal medicine0101 mathematicsCausal modelta112Clinical study designInverse probability weightingSampling (statistics)non-participationMissing dataData sciencedoubly robust methodsSurvey data collectionData miningStatistics Probability and Uncertaintycomputerinverse probability weightingStatisticiancausal model with designJournal of Applied Statistics
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Credibility as a Key to Sustainable Advertising Success

2014

This paper addresses the operational part of sustainable marketing, especially advertising with sustainability. This form of advertising has to consider particularly the aspect of credibility since the social-ecological value of a product is often not evident for the consumer. Therefore, credibility represents an essential competitive advantage for companies who offer sustainable products. The purpose of this paper is to identify the determinants which are decisive for the credibility attribution of sustainable advertisement in order to achieve an improved comprehension of the latent construct and a more credible design of this type of advertisement. In addition, the actual influence of cre…

Sustainable productsSource credibilityCredibilitySustainabilityAdvertisingBusinessProduct (category theory)MarketingCompetitive advantageConsumer behaviourCausal model
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An identifiable model to assess frequency-domain Granger causality in the presence of significant instantaneous interactions

2010

We present a new approach for the investigation of Granger causality in the frequency domain by means of the partial directed coherence (PDC). The approach is based on the utilization of an extended multivariate autoregressive (MVAR) model, including instantaneous effects in addition to the lagged effects traditionally studied, to fit the observed multiple time series prior to PDC computation. Model identification is performed combining standard MVAR coefficient estimation with a recent technique for instantaneous causal modeling based on independent component analysis. The approach is first validated on simulated MVAR processes showing that, in the presence of instantaneous effects, only t…

System identificationBiomedical EngineeringReproducibility of ResultsElectroencephalographyIndependent component analysisSensitivity and SpecificityPattern Recognition AutomatedAutoregressive modelGranger causalityArtificial IntelligenceFrequency domainStatisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEconometricsCoherence (signal processing)HumansDiagnosis Computer-AssistedTime seriesAlgorithmsMathematicsCausal model
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Clinicians' assessment of mobile monitoring: a comparative study in Japan and Spain.

2013

Background: The gradual but steady shift toward telemedicine during the past decades is a clear response to important health problems that most industrialized countries have been facing. The growing elderly population and changing dietary habits have led to an increase in people with chronic diseases and overall health care expenditures. As more consumers use their mobile device as their preferred information and communication technology (ICT) device, mobile health monitoring has been receiving increasing attention in recent years. Objective: This study examines clinicians’ perception of factors determining mobile health monitoring acceptance in Japan and Spain. The study proposes a causal …

TelemedicineOriginal Paperbusiness.industryApplied psychologyQuestionnairepersonal innovativenesssmartphoneInformation and Communications Technologyhealth monitoringHealth careMedicinePsychic distancebusinessMobile deviceDeveloped countrycomparative studyCausal modelpsychic distanceMedicine 2.0
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Consumer behavior in a religious event experience: an empirical assessment of value dimensionality among volunteers

2009

PurposeThe purpose of this paper is to present volunteering in tourism events as a sort of spontaneous community participation that has far‐reaching consequences for destination management. It chooses the concept of value to explore volunteering experience in an international religious mega‐event, using Holbrook's value typology (efficiency, social value, play, spirituality).Design/methodology/approachThe authors undertake this objective by means of testing psychometric properties of the four value scales, as well as providing a causal model of relationships among value dimensions and overall perceived value, satisfaction and loyalty or commitment to volunteering in a special event tested w…

Typologymedia_common.quotation_subjectGeography Planning and DevelopmentSample (statistics)Religious tourismValue theoryTourism Leisure and Hospitality ManagementLoyaltyPsychologyValue (mathematics)Social psychologyConsumer behaviourmedia_commonCausal modelInternational Journal of Culture, Tourism and Hospitality Research
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