A mixed-effects model in which the parameters of the autocorrelated error structure can differ between individuals
S Nestler - Multivariate Behavioral Research, 2024 - Taylor & Francis
Research in psychology has seen a rapid increase in the usage of experience sampling
methods and daily diary methods. The data that result from using these methods are …
methods and daily diary methods. The data that result from using these methods are …
A latent variable mixed‐effects location scale model that also considers between‐person differences in the autocorrelation
S Nestler, SA Blozis - Statistics in Medicine, 2024 - Wiley Online Library
In public health research an increasing number of studies is conducted in which intensive
longitudinal data is collected in an experience sampling or a daily diary design. Typically …
longitudinal data is collected in an experience sampling or a daily diary design. Typically …
Standardization or Discretionary Space? A Mixed-Method Study on Government-Imposed Performance Measurement Instruments in Social Services
Despite the increased scientific interest in performance measurement instruments (PMIs) on
the part of funders, governments, and social service organizations (SSOs), studies on …
the part of funders, governments, and social service organizations (SSOs), studies on …
How does diversity affect the effectiveness of capacity building training? Evidence from the Republic of Korea
GY So - Development Policy Review, 2024 - Wiley Online Library
Motivation Previous studies on the effectiveness of capacity building training, drawn from the
experience of traditional donors, have been limited in their understanding the impact of the …
experience of traditional donors, have been limited in their understanding the impact of the …
Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function
M de Rooij, L Breemer, D Woestenburg… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a multidimensional data analysis framework for the analysis of ordinal response
variables. Underlying the ordinal variables, we assume a continuous latent variable, leading …
variables. Underlying the ordinal variables, we assume a continuous latent variable, leading …
Robust Inference for Generalized Linear Mixed Models: An Approach Based on Score Sign Flipping
Despite the versatility of generalized linear mixed models in handling complex experimental
designs, they often suffer from misspecification and convergence problems. This makes …
designs, they often suffer from misspecification and convergence problems. This makes …
R-VGAL: a sequential variational Bayes algorithm for generalised linear mixed models
BA Vu, D Gunawan, A Zammit-Mangion - Statistics and Computing, 2024 - Springer
Abstract Models with random effects, such as generalised linear mixed models (GLMMs),
are often used for analysing clustered data. Parameter inference with these models is …
are often used for analysing clustered data. Parameter inference with these models is …
Multiple group comparisons of the fixed and random effects from the generalized linear mixed model
D Kasper, K Schulz-Heidorf… - Sociological Methods & …, 2024 - journals.sagepub.com
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the
generalized linear model to the fixed and random effects of the generalized linear mixed …
generalized linear model to the fixed and random effects of the generalized linear mixed …