0000000000345262

AUTHOR

Jörg Henseler

showing 4 related works from this author

Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research : A commentary on Yuan and Fang (2023)

2023

In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that “[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller stan…

Statistics and ProbabilityHenseler-Ogasawara specificationeffect sizetilastomenetelmätpartial least squares structural equation modelingGeneral MedicinerakenneyhtälömallitregressioanalyysiArts and Humanities (miscellaneous)sum scorescovariance-based structural equation modelingcomposite modelregression analysis with weighted compositesfactor score regressionGeneral Psychology
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Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model

2012

BackgroundPatients with type 1 and type 2 diabetes often find it difficult to control their blood glucose level on a daily basis because of distance or physical incapacity. With the increase in Internet-enabled smartphone use, this problem can be resolved by adopting a mobile diabetes monitoring system. Most existing studies have focused on patients’ usability perceptions, whereas little attention has been paid to physicians’ intentions to adopt this technology. ObjectiveThe aim of the study was to evaluate the perceptions and user acceptance of mobile diabetes monitoring among Japanese physicians. MethodsA questionnaire survey of physicians was conducted in Japan. The structured questionna…

Diabetes self-managementKnowledge managementmedia_common.quotation_subjectApplied psychologyMobile deviceHealth InformaticsContext (language use)lcsh:Computer applications to medicine. Medical informaticsHealth informaticsDiabetes mellitusJapanMobile diabetes monitoringBlood glucose self-monitoringSurveys and QuestionnairesHumansMedicineMobile technologyQuality (business)Mobile healthPath analysisMonitoring Physiologicmedia_commonInternetOriginal PaperService qualitybusiness.industrylcsh:Public aspects of medicineQuestionnaireInformation qualitylcsh:RA1-1270Models TheoreticalDiabetes Mellitus Type 1Diabetes Mellitus Type 2Mobile phoneCritical Pathwayslcsh:R858-859.7businessJournal of Medical Internet Research
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Physicians' appraisal of mobile health monitoring

2013

This study addresses what factors influence and moderate Japanese physicians' mobile health monitoring (MHM) adoption for diabetic patients. In light of the multilevel sequential check theory, the study tests whether novelty seeking, self-efficacy, and compatibility moderate the effects of overall quality, net benefits, and perceived value of MHM on physicians' usage intention. Self-efficacy serves as an evaluation of resources for coping with an event, while compatibility involves the judgment of an event's congruence with a motive or goal. The study results support four out of nine moderation hypotheses. Our findings clearly indicate that the impact of overall quality and net benefits on …

Self-efficacyCoping (psychology)Management of Technology and InnovationStrategy and ManagementResponsible OrganizationApplied psychologyNovelty seekingIntention to useConstrual level theoryMarketingPsychologyModerationThe Service Industries Journal
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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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