Missing data: An update on the state of the art.
CK Enders - Psychological Methods, 2023 - psycnet.apa.org
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled
“Missing data: Our view of the state of the art,” currently the most highly cited paper in the …
“Missing data: Our view of the state of the art,” currently the most highly cited paper in the …
Catching up on multilevel modeling
L Hoffman, RW Walters - Annual Review of Psychology, 2022 - annualreviews.org
This review focuses on the use of multilevel models in psychology and other social sciences.
We target readers who are catching up on current best practices and sources of controversy …
We target readers who are catching up on current best practices and sources of controversy …
Multiple imputation of missing data for multilevel models: Simulations and recommendations
S Grund, O Lüdtke, A Robitzsch - Organizational Research …, 2018 - journals.sagepub.com
Multiple imputation (MI) is one of the principled methods for dealing with missing data. In
addition, multilevel models have become a standard tool for analyzing the nested data …
addition, multilevel models have become a standard tool for analyzing the nested data …
[HTML][HTML] The links between pedagogical competence, instructional quality, and mathematics achievement in the lower secondary classroom
It is widely assumed that teachers play a key role in providing high-quality learning
opportunities to students and fostering students' learning. Yet it is still unclear how specific …
opportunities to students and fostering students' learning. Yet it is still unclear how specific …
Jomo: a flexible package for two-level joint modelling multiple imputation
M Quartagno, S Grund, J Carpenter - R Journal, 2019 - discovery.ucl.ac.uk
Multiple imputation is a tool for parameter estimation and inference with partially observed
data, which is used increasingly widely in medical and social research. When the data to be …
data, which is used increasingly widely in medical and social research. When the data to be …
Conducting and evaluating multilevel studies: Recommendations, resources, and a checklist
V González-Romá… - Organizational Research …, 2023 - journals.sagepub.com
Multilevel methods allow researchers to investigate relationships that expand across levels
(eg, individuals, teams, and organizations). The popularity of these methods for studying …
(eg, individuals, teams, and organizations). The popularity of these methods for studying …
The relationship between early childhood teachers' instructional quality and children's mathematics development
This study examined how early childhood (EC) teachers' instructional quality predicted
children's development in mathematics across two measurement occasions. Therefore, EC …
children's development in mathematics across two measurement occasions. Therefore, EC …
Data aggregation in multilevel research: Best practice recommendations and tools for moving forward
The multilevel paradigm is omnipresent in the organizational sciences, with scholars
recognizing data are almost always nested–either hierarchically (eg, individuals within …
recognizing data are almost always nested–either hierarchically (eg, individuals within …
Multilevel methods and statistics: The next frontier
R Eckardt, FJ Yammarino… - Organizational …, 2021 - journals.sagepub.com
The purpose of this article is to take stock of extant multilevel methodological and statistical
work and highlight needed areas for future research. A basic overview of the history and …
work and highlight needed areas for future research. A basic overview of the history and …
Informant discrepancies in universal screening as a function of student and teacher characteristics
Despite the widespread use of school-based universal screening systems for social,
emotional, and behavioral risk, limited research has examined discrepancies in ratings …
emotional, and behavioral risk, limited research has examined discrepancies in ratings …