Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Descriptor
Source
Large-scale Assessments in… | 3 |
Author
Emmanuel Sikali | 1 |
Küchenhoff, Helmut | 1 |
Mang, Julia | 1 |
Meinck, Sabine | 1 |
Mirazchiyski, Plamen V. | 1 |
Paul Bailey | 1 |
Prenzel, Manfred | 1 |
Ting Zhang | 1 |
Yuqi Liao | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Secondary Education | 2 |
High Schools | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 1 |
Program for International… | 1 |
What Works Clearinghouse Rating
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Mirazchiyski, Plamen V. – Large-scale Assessments in Education, 2021
This paper presents the R Analyzer for Large-Scale Assessments (RALSA), a newly developed R package for analyzing data from studies using complex sampling and assessment designs. Such studies are, for example, the IEA's Trends in International Mathematics and Science Study and the OECD's Programme for International Student Assessment. The package…
Descriptors: Measurement, Data Analysis, Open Source Technology, Computer Software
Mang, Julia; Küchenhoff, Helmut; Meinck, Sabine; Prenzel, Manfred – Large-scale Assessments in Education, 2021
Background: Standard methods for analysing data from large-scale assessments (LSA) cannot merely be adopted if hierarchical (or multilevel) regression modelling should be applied. Currently various approaches exist; they all follow generally a design-based model of estimation using the pseudo maximum likelihood method and adjusted weights for the…
Descriptors: Sampling, Hierarchical Linear Modeling, Simulation, Scaling