Description Details The MULTI-DES framework contains 3 manuscripts so far (that are either published, submitted, or in progress)
The mdRtools
package contains functions that were written and used for the analyses conducted within MULTI-DES project.
The functions of the mdRtools package can be used to replicate the R
code accompanying the manuscripts
within the MULTI-DES framework that are shared via the OSF page specific to each manuscript (see details
).
MULTI-DES stands for "Multilevel Design Parameters and Effect Size Benchmarks for Students' Competencies". The project is funded by the German Research Foundation (DFG) and aims at investigating (1) multilevel design parameters that are needed to efficiently plan cluster-randomized trials on student achievement to ensure sufficient statistical power to detect intervention effects, and (2) effect size benchmarks in terms of academic growth as well as performance gaps between schools to appropriately interpret and communicate the results of such studies. In MULTI-DES, representative data from three German longitudinal large-scale assessments were used. applying multilevel and structural equation modeling.
Multilevel Design Parameters to Plan Cluster-Randomized Intervention Studies on Student Achievement in Elementary and Secondary School
Single- and Multilevel Perspectives on Covariate Selection in Randomized Trials on Student Achievement
Empirical Benchmarks to Interpret Effect Sizes Related To K-12 Students’ Achievement: An Update With Results from Germany
The R
code for each manuscript in the context of the MULTI-DES project is shared via the OSF and are accessible under the following links:
osf.io/2w8nt
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