Are track recommendations dependent on schools and school boards? A study of trends in the level of track recommendations, number of double recommendations and reconsiderations in Dutch urban and rural areas

Author:

Timmermans A. C.1,Dijks M. A.1ORCID,Warrens M. J.1

Affiliation:

1. Faculty of Behavioural and Social Sciences, Department GION Education/Research University of Groningen Groningen the Netherlands

Abstract

AbstractTrack recommendations provided to students in the final grade of primary education lead the allocation to specific school tracks in secondary education in the Netherlands. Where the results of a standardised test indicate that students are able to go to a higher track level, primary schools are required to reconsider and potentially adjust the track recommendation to a higher level. The current research aimed to (1) investigate trends in the level of track recommendations, double track recommendations and reconsiderations over the years 2014–2015 to 2018–2019, (2) explore the variation in (trends of) track recommendations between Dutch primary schools and their school boards, and (3) assess the association between track recommendations and the school level variables degree of urbanisation and type of primary education. We used multilevel growth curve modelling for continuous and count data based on publicly available school‐level population data regarding track recommendations and school leavers tests from 2014–2015 to 2018–2019. The number of double track recommendations has increased over the cohorts, with a slightly decreasing gap between schools in rural and urban areas. The number of reconsiderations first decreased and then increased. The differences in reconsiderations between rural and urban areas are increasing over time. An initial trend towards higher average recommendations stabilising in the later cohorts appeared with no clear pattern for degree of urbanisation. The current study adds to the existing knowledge by assessing longitudinal trends instead of cross‐sectional analyses and including multiple stakeholders and factors simultaneously.

Publisher

Wiley

Subject

Education

Reference71 articles.

1. Analyzing count variables in individuals and groups: Single level and multilevel models

2. Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data

3. Bandstra P. Danhof W. Faber S. Minnaert A. &Ruijssenaars W.(2013).Rapport Rekenproject Leerbaarheid van hoofdrekenen. Rijksuniversiteit Groningen.

4. Growth Mixture Modeling: Application to Reading Achievement Data From a Large-Scale Assessment

5. Sociale ongelijkheid in het onderwijs is hardnekkig;Borghans L.;Economisch Statistische Berichten,2018

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