Multilevel and Latent Variable Modeling with Composite Links and Exploded Likelihoods

نویسندگان

  • SOPHIA RABE-HESKETH
  • ANDERS SKRONDAL
چکیده

Composite links and exploded likelihoods are powerful yet simple tools for specifying a wide range of latent variable models. Applications considered include survival or duration models, models for rankings, small area estimation with census information, models for ordinal responses, item response models with guessing, randomized response models, unfolding models, latent class models with random effects, multilevel latent class models, models with log-normal latent variables, and zero-inflated Poisson models with random effects. Some of the ideas are illustrated by estimating an unfolding model for attitudes to female work participation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generalized Linear Latent and Mixed Models with Composite Links and Exploded Likelihoods

Applications of composite links and exploded likelihoods for generalized linear latent and mixed models are explored.

متن کامل

Estimating Latent-Variable Graphical Models using Moments and Likelihoods

Recent work on the method of moments enable consistent parameter estimation, but only for certain types of latent-variable models. On the other hand, pure likelihood objectives, though more universally applicable, are difficult to optimize. In this work, we show that using the method of moments in conjunction with composite likelihood yields consistent parameter estimates for a much broader cla...

متن کامل

Estimation of Contextual Effects through Nonlinear Multilevel Latent Variable Modeling with a Metropolis-Hastings Robbins-Monro Algorithm

The main purpose of this study is to improve estimation efficiency in obtaining fullinformation maximum likelihood (FIML) estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can produce FIML estimates and their standar...

متن کامل

Factors Influencing Poverty in Iran Using a Multilevel Approach

This study aims at investigating the factors effective on poverty as one of the notable socioeconomic problems in Iran. To overcome the limitations of the prior research, the present study makes use of a multilevel model so as to simultaneously analyze the individual-level (personal characteristics) and macro-level (economic and institutional characteristics) factors. The provincial household b...

متن کامل

Beyond Multilevel Regression Modeling: Multilevel Analysis in a General Latent Variable Framework

Multilevel modeling is often treated as if it concerns only regression analysis and growth modeling. Multilevel modeling, however, is relevant for nested data not only with regression and growth analysis but with all types of statistical analyses. This chapter has two aims. First, it shows that already in the traditional multilevel analysis areas of regression and growth there are several new m...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007