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Little, Todd D.; Bontempo, Daniel; Rioux, Charlie; Tracy, Allison – International Journal of Research & Method in Education, 2022
Multilevel modelling (MLM) is the most frequently used approach for evaluating interventions with clustered data. MLM, however, has some limitations that are associated with numerous obstacles to model estimation and valid inferences. Longitudinal multiple-group (LMG) modelling is a longstanding approach for testing intervention effects using…
Descriptors: Longitudinal Studies, Hierarchical Linear Modeling, Alternative Assessment, Intervention
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Wang, Tim; Sun, Huaping; Zhou, Yan; Harman, Ann E. – Practical Assessment, Research & Evaluation, 2020
Longitudinal assessment is a type of assessment involving repeated measures over a period to evaluate whether and when an attribute (e.g., ability, skill) changes. Thus, change detection is of central interest in longitudinal assessment. In the assessment setting, change in the desired direction (typically upward) is often referred to as…
Descriptors: Longitudinal Studies, Tests, Progress Monitoring, Hierarchical Linear Modeling
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Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
Anderson, Daniel – Behavioral Research and Teaching, 2012
This manuscript provides an overview of hierarchical linear modeling (HLM), as part of a series of papers covering topics relevant to consumers of educational research. HLM is tremendously flexible, allowing researchers to specify relations across multiple "levels" of the educational system (e.g., students, classrooms, schools, etc.).…
Descriptors: Hierarchical Linear Modeling, Educational Research, Case Studies, Longitudinal Studies