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TRAIN longitudinal dataset (Grades 5-7, German nonacademic-track secondary schools)

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Evidence · 4 claims (4 for) · 2 studies (2 associational), q3 · 1 of 2 report an effect size · 4 claims rest on one study

Description

A longitudinal dataset from the Transition and Innovation (TRAIN) study containing standardized mathematics and German achievement, subject interest, differentiated-instruction, and academic-orientation measures for students in German nonacademic-track secondary schools.

Components

Claims

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Key Sources

  • Kopatz, M., Wagner, W., Neuendorf, C., Trautwein, U., Nagengast, B., and Bardach, L. (2025). Class Composition Effects in Achievement and Interest and the Role of the Learning Environment Revisited: A Conceptual Replication and Extension of Lavrijsen et al. (2022). Preprint. https://osf.io/n5xur/?view_only=48daea427ab44c9abd13b21b1e2b42f6
Page metadata
Field Value
type product
id train-longitudinal-dataset-grades-5-7-german-nonacademic-track-secondary-schools
title TRAIN longitudinal dataset (Grades 5-7, German nonacademic-track secondary schools)
description A longitudinal dataset from the Transition and Innovation (TRAIN) study containing standardized mathematics and German achievement, subject interest, differentiated-instruction, and academic-orientation measures for students in German nonacademic-track secondary schools.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-23
trust unverified — no one has confirmed this page's content

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