Search results for "causal model"

showing 10 items of 40 documents

Social causes and consequences of clients’ satisfaction with hotels

2015

Con el objeto de evidenciar la dimensión social del proceso de satisfacción, proponemos un modelo causal donde la satisfacción y el valor son constructos centrales, con dos antecedentes (calidad de servicio y valor social) y dos consecuencias en forma de lealtad (boca-oreja electrónico y boca-oreja global). El modelo es contrastado entre 386 huéspedes de hoteles españoles confirmándose el peso que tienen en el proceso lealtad las variables de carácter social: valor social y boca-oreja. Se presentan importantes implicaciones para la gestión y futuros avances para la investigación académica. ABSTRACT In order to make evidence the social dimension of satisfaction process, we propose a causal m…

Value (ethics)Service quality91 - Geografía.Exploración de la tierra y de los distintos países.Viajes.Geografía regionalmedia_common.quotation_subjectWelfare economicsGeography Planning and Developmentlcsh:Geography. Anthropology. Recreationlcsh:Recreation. Leisurelcsh:GV1-1860Calidad de los serviciosSocial dimensionManagementValoraciónService qualitylcsh:GTourism Leisure and Hospitality ManagementLoyaltySociologyValueNature and Landscape ConservationCausal modelmedia_commonCuadernos de Turismo
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Causal Models for Monitoring University Ordinary Financing Fund

2012

Recently iterated decreasing government transfers and an increasing proportion of budget allotted basing on competitive performances, took Italian Universities started struggling with competition for funds, in particular for the University Ordinary Financing Fund (FFO). Aim of this paper is monitoring variables responsible for FFO indicators, where monitoring means: describing, analysing retrospectively, predicting and intervening on variables responsible for indicators. All this aims can be achieved by statistical techniques that should be theoretically equipped with the distinction between predicting under observation and predicting under intervention, in order to provide correct answers …

bayesian inference causal modelling counterfactuals University Ordinary Financing FundSettore SECS-S/01 - Statistica
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Customer value in tourism and hospitality: Broadening dimensions and stretching the value-satisfaction-loyalty chain

2019

Abstract Customer value research consists of two main streams, with broad recognition in tourism literature: value dimensions (intra-variable perspective) and relationships among value, satisfaction and loyalty (inter-variable perspective). The conceptual framework reviews and categorizes graphically both streams, evidencing the need of research combining both perspectives. The empirical study uses PLS to validate among a sample of 340 hotel guests, a comprehensive causal model with a high number (eight) of value dimensions -functional (efficiency and excellence), social (status and esteem), hedonic (aesthetic and entertainment) and altruistic (ethics and escapism). Moreover, the model adds…

business.industrymedia_common.quotation_subject05 social sciencesEmpirical researchExcellenceHospitalityTourism Leisure and Hospitality Management0502 economics and businessLoyalty050211 marketingMarketingConstruct (philosophy)businessPsychologyValue (mathematics)050212 sport leisure & tourismTourismmedia_commonCausal modelTourism Management Perspectives
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The disenchantment of professionals in a new, implemented model of primary health care in Spain: A structural equations model

1992

Abstract A new model of primary health care has been progressively implemented in Spain. Previous research (Peiro and Gonzalez-Roma 1991) suggested that the implementation of this new model has produced a kind of disenchantment—that is, an experience of negative surprise—among health care professionals involved. In the present paper, a structural equations model about the antecedents and consequences of the experience of surprise is tested in a sample of 432 health care professionals working in 44 Primary Health Care Teams (PHCT). The results obtained showed that the number of uncovered functions in the PHCTs, the discrepancy between actual and desired time allocation, and the assessment of…

business.industrymedia_common.quotation_subjectTime allocationPrimary health careSample (statistics)DisenchantmentSurpriseNursingHealth careJob satisfactionbusinessPsychologyApplied Psychologymedia_commonCausal modelWork & Stress
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Self-Efficacy Between Previous and Current Mathematics Performance of Undergraduate Students: An Instrumental Variable Approach to Exposing a Causal …

2021

PurposeSelf-efficacy has been argued theoretically and shown empirically to be an essential construct for students’ improved learning outcomes. However, there is a dearth of studies on its causal effects on performance in mathematics among university students. Meanwhile, it will be erroneous to assume that results from other fields of studies generalize to mathematics learning due to the task-specificity of the construct. As such, attempts are made in the present study to provide evidence for a causal relationship between self-efficacy and performance with a focus on engineering students following a mathematics course at a Norwegian university.MethodThe adopted research design in the presen…

instrumental variable approachlcsh:BF1-990Final examinationStructural equation modelingundergraduate learningcausal model analysis0504 sociologyMathematics educationPsychologyGeneral PsychologyOriginal ResearchSelf-efficacy05 social sciencesInstrumental variableprior mathematics knowledge050401 social sciences methods050301 educationVariance (accounting)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Test (assessment)lcsh:PsychologyPsychologyConstruct (philosophy)0503 educationself-efficacySocial cognitive theoryFrontiers in psychology
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Stretching the value-satisfaction-loyalty chain by adding value dimensions and cognitive and affective satisfactions

2016

Purpose– Consensus on how value dimensions are drivers of overall perceived value is a widespread reality in consumer behaviour literature. But scanty research has been done on which of these value dimensions best predict customer loyalty. The purpose of this paper is to propose a causal model that examines how PERVAL dimensions of value affect customers’ loyalty, through both cognitive and affective satisfaction.Design/methodology/approach– The model is tested on a sample of 820 Spanish retail customers and the findings suggest that product quality and value for money (cognitive) impact customer loyalty through emotional and social value (affective), with significant direct and indirect ef…

media_common.quotation_subject05 social sciencesCognitionManagement Science and Operations ResearchAffect (psychology)General Business Management and AccountingLoyalty business model0502 economics and businessLoyalty050211 marketingQuality (business)PsychologyValue (mathematics)Social psychology050203 business & managementConsumer behaviourmedia_commonCausal modelManagement Decision
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What drives increases in hindsight impressions after the reception of biased media content?

2021

Prior research has shown that reading biased media content (e.g., Wikipedia articles) can increase recipients' hindsight bias. It remained unclear, however, which features of the biased texts led to such an increase. We examined this question in a longitudinal experimental study (N = 190). Specifically, we tested whether repeated exposure to already known information (H₁), a more coherent presentation of the information (H₂), or the presentation of novel information (H₃) affected readers' hindsight impressions of likelihood, inevitability, and foreseeability. To this end, participants initially learned about an event by reading several short news, and, 1 week later, received one of several …

media_common.quotation_subjectCommunicationExperimental and Cognitive PsychologyPsycINFOPresentationJudgmentEmpirical researchBiasReadingReading (process)HumansPsychologyMedia contentHindsight biasEvent (probability theory)media_commonCausal modelCognitive psychologyProbabilityJournal of experimental psychology. Applied
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Using meta-analytic path analysis to test theoretical predictions in health behavior: An illustration based on meta-analyses of the theory of planned…

2016

Objective Synthesizing research on social cognitive theories applied to health behavior is an important step in the development of an evidence base of psychological factors as targets for effective behavioral interventions. However, few meta-analyses of research on social cognitive theories in health contexts have conducted simultaneous tests of theoretically-stipulated pattern effects using path analysis. We argue that conducting path analyses of meta-analytic effects among constructs from social cognitive theories is important to test nomological validity, account for mediation effects, and evaluate unique effects of theory constructs independent of past behavior. We illustrate our points…

past behaviormeta-analyysicausal modelssocial cognitive modelspath analysistheory of planned behaviornomological validitystructural equation modelingindirect effects
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Enhancing identification of causal effects by pruning

2018

Causal models communicate our assumptions about causes and effects in real-world phe- nomena. Often the interest lies in the identification of the effect of an action which means deriving an expression from the observed probability distribution for the interventional distribution resulting from the action. In many cases an identifiability algorithm may return a complicated expression that contains variables that are in fact unnecessary. In practice this can lead to additional computational burden and increased bias or inefficiency of estimates when dealing with measurement error or missing data. We present graphical criteria to detect variables which are redundant in identifying causal effe…

päättelyFOS: Computer and information sciencesalgorithmcausal modelMachine Learning (stat.ML)Machine Learning (cs.LG)Computer Science - Learningleikkaus (kasvit)koneoppiminenStatistics - Machine Learningidentiafiabilityalgoritmitkausaliteetticausal inferencetunnistaminen
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Omission of Causal Indicators: Consequences and Implications for Measurement – A Rejoinder

2016

ta113Statistics and ProbabilityApplied Mathematics05 social sciences050401 social sciences methodsResearch needsEducation0504 sociology0502 economics and businesscausal indicatorsmeasurementPositive economicsPsychologySocial psychology050203 business & managementCausal modelMeasurement: Interdisciplinary Research and Perspectives
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