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the maximum likelihood theory for independent observations, the GEE method is based on the quasilikelihood theory and no …
Persistent link: https://www.econbiz.de/10005450165
Item response theory models are measurement models for categorical responses. Traditionally, the models are used in educational testing, where responses to test items can be viewed as indirect measures of latent ability. The test items are scored either dichotomously (correct–incorrect) or by...
Persistent link: https://www.econbiz.de/10005748360
Analyzing latent variables is becoming more and more important in several fields, such as clinical research, psychology, educational sciences, ecology, and epidemiology. The item response theory allows analyzing latent variables measured by questionnaires of items with binary or ordinal...
Persistent link: https://www.econbiz.de/10005748389
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal variables (items) that are influenced by a latent variable or latent trait- that is, a variable that cannot be measured directly. The theory was originally developed in educational assessment but...
Persistent link: https://www.econbiz.de/10008862274
Fixed-effects models have become increasingly popular in social-science research. The possibility to control for unobserved heterogeneity makes these models a prime tool for causal analysis. Fixed-effects models have been derived and implemented for many statistical software packages for...
Persistent link: https://www.econbiz.de/10011105651
This article develops a method for implementing a simulated multivariate random-effects probit model for unbalanced panels (with gaps) and illustrates the model by using artificial data. Halton draws generated by mdraws are used to simulate multivariate normal probabilities with the mvnp() egen...
Persistent link: https://www.econbiz.de/10010801223
Correlated random-effects (Mundlak, 1978, Econometrica 46: 69–85; Wooldridge, 2010, Econometric Analysis of Cross Section and Panel Data [MIT Press]) and hybrid models (Allison, 2009, Fixed Effects Regression Models [Sage]) are attractive alternatives to standard random-effects and fixed-effects...
Persistent link: https://www.econbiz.de/10010633314
Frailty models are the survival data analog to regression models, which account for heterogeneity and random effects. A frailty is a latent multiplicative effect on the hazard function and is assumed to have unit mean and variance theta, which is estimated along with the other model parameters....
Persistent link: https://www.econbiz.de/10005568783