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Loglinear Rasch Model Tests [PDF]
Psychometrika, 1984 Existing statistical tests for the fit of the Rasch model have been criticized, because they are only sensitive to specific violations of its assumptions. Contingency table methods using loglinear models have been used to test various psychometric models.
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Item analysis of the KIDSCREEN-10 using Rasch modelling
Health and Quality of Life Outcomes, 2020 Aim To test the psychometric properties of the KIDSCREEN-10. Background It is important to assess mental health and well-being in children for an early detection of psychological problems or hidden morbidities.
Marianne Müller, Andrea Haenni Hoti
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Graphical Local Genetic Algorithm for High-Dimensional Log-Linear Models
Mathematics, 2023 Graphical log-linear models are effective for representing complex structures that emerge from high-dimensional data. It is challenging to fit an appropriate model in the high-dimensional setting and many existing methods rely on a convenient class of ...
Lyndsay Roach, Xin Gao
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Estrategia para la selección de modelos gráficos en tablas de contingencia no estructuradas
Revista de Matemática: Teoría y Aplicaciones, 2009 Loglinear models are frequently utilized in the analysis of association patterns between variables in a multidimensional contingency table. Discrete graphical models are fashionable.
Adalberto González Debén +1 more
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Restricted graphical log-linear models
Austrian Journal of Statistics, 2015 We introduce a new type of graphical log-linear model called restricted graphical log-linear model. This model is obtained by imposing equality restrictions on subsets of main effects and of first-order interactions.
Ricardo Ramírez-Aldana +1 more
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Exact Hypothesis Tests for Log-linear Models with exactLoglinTest
Journal of Statistical Software, 2006 This manuscript overviews exact testing of goodness of fit for log-linear models using the R package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning on minimal sufficient statistics to remove nuisance ...
Brian Caffo
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Heatmaps for Patterns of Association in log-Linear Models
Socius, 2020 Log-linear models offer a detailed characterization of the association between categorical variables, but the breadth of their outputs is difficult to grasp because of the large number of parameters these models entail.
Mauricio Bucca
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Schweizer Unternehmen — Quo vaditis?
Raumforschung und Raumordnung, 2008 This paper explores the business demographics of the Swiss cantons of St. Gallen and the two Appenzells between the years of 1991 and 2006 using entries to the business registers of the these three cantons.
Balz R. Bodenmann, Kay W. Axhausen
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Ordinal Log-Linear Models for Contingency Tables
Folia Oeconomica Stetinensia, 2016 A log-linear analysis is a method providing a comprehensive scheme to describe the association for categorical variables in a contingency table. The log-linear model specifies how the expected counts depend on the levels of the categorical variables for ...
Brzezińska Justyna
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ANALISIS DE INTERVENSIÓN USANDO EL MODELO LOGLINEAL GENERAL CON FACTORES ANIDADOS
Ecosistemas y Recursos Agropecuarios, 2014 A procedure is defined for measurimg a reduction in accidents due to an intervention. Para obtener el articulo completo pueden contactar al Editor de la Revista Ecosistemas y Recursos Agropecuarios en el siguiente correo electrónico era@ujat.mx y se ...
Robert J. Flowers
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