Replication Data for: Internalised mental health problems and general health in first year upper secondary school students do not predict school dropout when controlling for grades: A five-year prospective study

DOI

The data are from a longitudinal study, investigating predictors for dropout in upper secondary education. They were collected in autumn 2010 on first year students. School status and GPA was retrieved from county school registers.

This particular data set contains data used in the paper Internalised mental health problems and general health in first year upper secondary school students do not predict school dropout when controlling for grades: A five-year prospective study.

Abstract Background: In Norway, 1 out of 4 is dropping out from upper secondary education. It is well-known that academic performance is a predictor for dropout. Studies have shown that mental and general health also play a role in the dropout process, but this relationship is not fully explored. Method: A comprehensive questionnaire was distributed to a North-Norwegian sample of students recently entered upper secondary education (N=1676, 69% response rate). We tested a range of predictors for dropout five years later, related to mental and general health, demographics and academic performance. Results: A regression analysis showed that grades from lower secondary education predict dropout. Self-rated mental and general health reported at the beginning of the first year of school were not significant predictors when adjusting for grades and track. However, subgroup analyses showed that students in the vocational track reported poorer mental and general health, compared to students in the general track.
Conclusion: Grades from lower secondary education are well suited to function as a warning flag for school dropout in upper secondary education. On the other hand, internalised mental problems when tested in the first months of upper secondary school do not predict dropout, and might not be a valid warning flag.

Identifier
DOI https://doi.org/10.18710/Q3GFGG
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/Q3GFGG
Provenance
Creator Goll, Charlotte Bjørnskov (UiT The Arctic University of Norway); Sørlie, Tore (UiT The Arctic University of Norway); Friborg, Oddgeir (UiT The Arctic University of Norway); Ottosen, Karl Ottar (UiT The Arctic University of Norway); Sæle, Rannveig Grøm (UiT The Arctic University of Norway)
Publisher DataverseNO
Contributor Sæle, Rannveig Grøm; UiT The Arctic University of Norway; UiT Open Research Data
Publication Year 2019
Funding Reference Regional differensiert arbeidsgiveravgift-midler (RDA)
Rights CC0 Waiver
OpenAccess true
Contact Sæle, Rannveig Grøm (UiT The Arctic University of Norway)
Representation
Resource Type Survey and registry data
Format text/plain; text/x-fixed-field
Size 2421; 193304
Version 1.0
Discipline Medicine;Social Sciences