27 citations · 39 across the 7 of their papers we have counts for
9 papers
A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
Siliang Zhang, Yunxiao Chen, Jouni Kuha
This paper proposes a general multiple imputation approach for analyzing large-scale data with missing values. An imputation model is derived from a joint distribution induced by a…
Estimating the variance-covariance matrix of two-step estimates of latent variable models: A general simulation-based approach
Roberto Di Mari, Jouni Kuha
We propose a general procedure for estimating the variance-covariance matrix of two-step estimates of structural parameters in latent variable models. The method is partially simul…
Survey Experience and Nonresponse in an Online Probability Panel: A Survival Analysis
Katya Kostadintcheva, Jouni Kuha, Patrick Sturgis
We fit discrete time survival models to data from an online probability panel, where the outcome is the respondent first nonresponse to a survey invitation, following at least one…
Multilevel latent class analysis with covariates: Analysis of cross-national citizenship norms with a two-stage approach
Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser +1
This paper focuses on the substantive application of multilevel LCA to the evolution of citizenship norms in a diverse array of democratic countries. To do so, we present a two-sta…
multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates
Johan Lyrvall, Roberto Di Mari, Zsuzsa Bakk +2
This contribution presents a guide to the R package multilevLCA, which offers a complete and innovative set of technical tools for the latent class analysis of single-level and mul…
Two-step estimation of latent trait models
Jouni Kuha, Zsuzsa Bakk
We consider likelihood-based two-step estimation of latent variable models, in which just the measurement model is estimated in the first step and the measurement parameters are th…
A two-step estimator for multilevel latent class analysis with covariates
Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser +1
We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in its first step, and in the seco…
Modelling Correlation Matrices in Multivariate Dyadic Data: Latent Variable Models for Intergenerational Exchanges of Family Support
Siliang Zhang, Jouni Kuha, Fiona Steele
We define a model for the joint distribution of multiple continuous latent variables which includes a model for how their correlations depend on explanatory variables. This is moti…
Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support
Jouni Kuha, Siliang Zhang, Fiona Steele
Understanding the help and support that is exchanged between family members of different generations is of increasing importance, with research questions in sociology and social po…