Results 81 to 90 of about 6,143,323 (339)
Formative & Reflective Measurement Models
Southeast Asian Business ReviewThis research paper explores the distinctions between reflective and formative measurement models. The two commonly used methodologies in social science research for measuring latent variables.
Neha Sharma, N.P Singh
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Arthritis Care &Research, Accepted Article.Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
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Missing Data in Regression Models for Non-Commensurate Multiple Outcomes
Revstat Statistical Journal, 2011 Biomedical research often involves the measurement of multiple outcomes in different scales (continuous, binary and ordinal). A common approach for the analysis of such data is to ignore the potential correlation among the outcomes and model each ...
Armando Teixeira-Pinto +1 more
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Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
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Arthritis Care &Research, Accepted Article.Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +109 more
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Acta Scientiarum: Technology, 2012 This study aimed to identify and produce through models of Item Response Theory (IRT) a socio-economic indicator based in the items observed in 2000 Census, following the methodology by Soares (2005).
Vanessa Rufino da Silva +1 more
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Discretised Non-Linear Filtering for Dynamic Latent Variable Models: with Application to Stochastic Volatility [PDF]
Filtering techniques are often applied to the estimation of dynamic latent variable models. However, these techniques are often based on a set assumptions which restrict models to be specified in a linear state-space form.
Adam E. Clements +2 more
core
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
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Quantum-Inspired Latent Variable Modeling in Multivariate Analysis
StatsLatent variables play a crucial role in psychometric research, yet traditional models often struggle to address context-dependent effects, ambivalent states, and non-commutative measurement processes.
Theodoros Kyriazos, Mary Poga
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IEEE Access, 2020 The existing schemes show that the application of an Integrated Choice and Latent Variable (ICLV) model in choice behaviors of railway shippers in freight services provided by China Railway Express (CRE) and private logistics enterprises (PLEs) is a ...
Yun Jing +3 more
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