Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 6 |
Descriptor
Source
AERA Open | 1 |
European Journal of Special… | 1 |
Journal of Experimental… | 1 |
Practical Assessment,… | 1 |
Society for Research on… | 1 |
Sociological Methods &… | 1 |
Author
Ann A. O'Connell | 1 |
Dietrich, Lars | 1 |
Hitczenko, Marcin | 1 |
Hofman, Josef | 1 |
Hong, Guanglei | 1 |
Hong, Yihua | 1 |
Jing Zhang | 1 |
Konstantopoulos, Spyros | 1 |
Natasha Beretvas, S. | 1 |
Nivedita Bhaktha | 1 |
Park, Sunyoung | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 5 |
Education Level
Elementary Education | 2 |
Early Childhood Education | 1 |
Grade 3 | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Location
Germany (Berlin) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Early Childhood Longitudinal… | 4 |
Patterns of Adaptive Learning… | 1 |
What Works Clearinghouse Rating
Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
Hitczenko, Marcin – Sociological Methods & Research, 2022
Researchers interested in studying the frequency of events or behaviors among a population must rely on count data provided by sampled individuals. Often, this involves a decision between live event counting, such as a behavioral diary, and recalled aggregate counts. Diaries are generally more accurate, but their greater cost and respondent burden…
Descriptors: Surveys, Social Science Research, Recall (Psychology), Diaries
Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
Dietrich, Lars; Zimmermann, David; Hofman, Josef – European Journal of Special Needs Education, 2021
Meta-analyses suggest that instructional quality in the classroom and the quality of teacher-student relationships (TSR) predict positive social-emotional and achievement-related outcomes. Psychoanalytic theory asserts that positive teacher-student relationships are particularly important for outcomes in classrooms with more students with severe…
Descriptors: Teacher Student Relationship, Secondary School Students, Foreign Countries, Behavior Problems
Hong, Yihua; Hong, Guanglei – AERA Open, 2021
This study is focused on the threat of retention associated with test-based promotion in Grade 3. Through analyzing the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 data, we found that schools having such a policy apparently increased math instructional time but not reading instructional time in Grade 3. On average, the…
Descriptors: Student Promotion, Tests, Time on Task, Grade 3