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Item analysis: an approach using log-linear models for the study of cross-classified tables

FORMAT: PDF EPUB MOBI
DATA DI RILASCIO: 01/01/1987
DIMENSIONI PER FILE: 10,25
ISBN: 9788855520164
LINGUAGGIO: italiano
AUTORE: Albina Lucca
PREZZO: GRATIS

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...ange in the ... Existing statistical tests for the fit of the Rasch model have been criticized, because they are only sensitive to specific violations of its assumptions ... Predicting outcomes with Poisson or log-linear regression ... . Contingency table methods using loglinear models have been used to test various psychometric models. In this paper, the assumptions of the Rasch model are discussed and the Rasch model is reformulated as a quasi-independence model. Using a Resampling-Based Approach: An Application of Cognitive Diagnostic Models Chueh-an Hsieh Xueli Xu Matthias von Davier November 2010 ... Using ideas from IRT, lo ... Psicologia ... . Using a Resampling-Based Approach: An Application of Cognitive Diagnostic Models Chueh-an Hsieh Xueli Xu Matthias von Davier November 2010 ... Using ideas from IRT, log-linear models, and LCA, GDM can be . 3 viewed as a general modeling framework for confirmatory multidimensional item response Only one, with an emphasis on applications using Stata, provides a more detailed discussion of multilevel survival analysis (Rabe‐Hesketh & Skrondal, 2012b). The objective of this article is to describe statistical models for the analysis of multilevel survival data. We illustrate application of these models for ordinal data using Ecological Momentary Assessment (EMA) data, or intensive longitudinal data, from an adolescent smoking study. These mixed-effects ordinal location scale models have useful applications in mental health research where outcomes are often ordinal and there is interest in subject heterogeneity, both between- and within-subjects. Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as uncertainties in observations. In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that elicits the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. By comparing observations lying closely on either side of the threshold, it is possible ... 5.0 MULTIVARIATE ANALYSIS: APPROACH AND METHODS 5.1 Poisson Regression Model for the Expected Death Rate The hypotheses stated earlier can be evaluated with a series of multivariate Poisson regressions. This type of regression can be computed using log-linear techniques (Laird and Olivier, 1981; Larson, 1985). But when what you are trying to model is frequencies … or how many cases fall into a category, … you need to use a different model, … and the most common approach goes by two different names. … It's either called Poisson regression or log-linear models. … They're the same thing. …...