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Generalized multilevel structural equation modeling

Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew - In: Psychometrika 69 (2004) 2, pp. 167-190

Persistent link: https://www.econbiz.de/10005603161

Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew - Berkeley Electronic Press - 2004

This manual describes a Stata program gllamm that can estimate Generalized Linear Latent and Mixed Models (GLLAMMs … can be downloaded from http://www.gllamm.org. …

Persistent link: https://www.econbiz.de/10005246352

Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables

Miranda, Alfonso; Rabe-Hesketh, Sophia - In: Stata Journal 6 (2006) 3, pp. 285-308

or selection variable. This article describes a “wrapper” program, ssm, that calls gllamm (Rabe-Hesketh, Skrondal, and … Pickles, GLLAMM Manual [University of California – Berkeley, Division of Bio- statistics, Working Paper Series, Paper No. 160 …

Persistent link: https://www.econbiz.de/10005748336

Estimating parameters of dichotomous and ordinal item response models with gllamm

Rabe-Hesketh, Sophia; Zheng, Xiaohui - In: Stata Journal 7 (2007) 3, pp. 313-333

Persistent link: https://www.econbiz.de/10005748360

Maximum likelihood estimation of generalized linear models with covariate measurement error

Rabe-Hesketh, Sophia; Skrondal, Anders; Pickles, Andrew - In: Stata Journal 3 (2003) 4, pp. 386-411

Generalized linear models with covariate measurement error can be estimated by maximum likelihood using gllamm, a … ÒwrapperÓ command, cme, that calls gllamm to estimate the model. The wrapper makes life easy for the user by accepting a simple … running gllamm can also be obtained from cme. We first discuss the case where several measurements are available and …

Persistent link: https://www.econbiz.de/10005583325

Maximum Likelihood Estimation of Endogenous Switching And Sample Selection Models for Binary, Count, And Ordinal Variables

Miranda, Alfonso; Rabe-Hesketh, Sophia - Centre for Economic Research, School of Economics and … - 2005

or selection variable. This paper describes a ‘wrapper’ program, ssm, that calls gllamm (Rabe-Hesketh et al. 2004a) to …

Persistent link: https://www.econbiz.de/10005636075

Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures

Jeon, Minjeong; Rabe-Hesketh, Sophia - In: Journal of Educational and Behavioral Statistics 37 (2012) 4, pp. 518-542

studies and comparison with gllamm show that the profile-likelihood method performs well in both types of applications. The …

Persistent link: https://www.econbiz.de/10010775985

Multilevel logistic regression for polytomous data and rankings

Skrondal, Anders; Rabe-Hesketh, Sophia - In: Psychometrika 68 (2003) 2, pp. 267-287

Persistent link: https://www.econbiz.de/10005184162

A Two-Step Approach to Analyze Satisfaction Data

Ferrari, Pier; Pagani, Laura; Fiorio, Carlo - In: Social Indicators Research 104 (2011) 3, pp. 545-554

Persistent link: https://www.econbiz.de/10009400821

Wild Bootstrap Inference for Wildly Different Cluster Sizes

MacKinnon, James G.; Webb, Matthew D. - Economics Department, Queen's University - 2015

The cluster robust variance estimator (CRVE) relies on the number of clusters being large. A shorthand "rule of 42'' has emerged, but we show that unbalanced clusters invalidate it. Monte Carlo evidence suggests that rejection frequencies are higher for datasets with 50 clusters proportional to...

Persistent link: https://www.econbiz.de/10011185158

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