Results 51 to 60 of about 17,373 (263)
A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification on attribute parameter estimation using the SAS ...
Yi-Hsin Chen +3 more
doaj +1 more source
Understanding out‐of‐field teacher self‐efficacy beliefs: A person‐centred approach
Abstract Teaching out‐of‐field (OOF) has been a widespread global phenomenon and a cause of concern for school leaders and policymakers due to the potential impact it has on teaching quality and student learning. However, research on how the nature of OOF teaching impacts various teachers' psychological attributes such as teacher self‐efficacy (TSE ...
Hoi Vo +5 more
wiley +1 more source
Misspecification in dynamic models
Within the class of ARMAX models we consider the effects that omitted explanatory processes have on the dynamic shape and the exogeneity properties of economic relations. We show that, under suitable assumptions, a well defined "misspecified" ARMAX model exists and is unique.
openaire +3 more sources
On misspecifications in regularity and properties of estimators
The problem of parameter estimation by the continuous time observations of a deterministic signal in white gaussian noise is considered. The asymptotic properties of the maximul likelihood estimator are described in the asymptotics of small noise (large siglal-to-noise ratio).
Chernoyarov, Oleg V. +2 more
openaire +5 more sources
ABSTRACT Although ESG controversies are on the rise, research investigating them yields contradictory findings. The paper provides resolutions to the debate through investigating (a) how ESG controversies influence firms' short‐term and long‐term financial performance; (b) how firms navigate ESG controversies' effect; and (c) how ESG controversies ...
Amalesh Sharma +3 more
wiley +1 more source
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers. These models are influenced by assumptions like individual homogeneity.
Ali Zare +5 more
doaj
Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F +4 more
doaj +1 more source
ABSTRACT This study investigates the relationship between financial constraints and a firm's sustainability performance. Our empirical analysis utilises a panel of 40,445 observations from 9466 listed non‐financial firms across 44 countries, spanning the period from 2002 to 2019.
Boying Xu +2 more
wiley +1 more source
An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout
In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen +2 more
doaj +1 more source
Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? [PDF]
Systematic biases such as long branch attraction can mislead commonly relied upon model-based (i.e. maximum likelihood and Bayesian) phylogenetic methods when, as is usually the case with empirical data, there is model misspecification.
Patrick Kück +4 more
doaj +1 more source

