Norwegian lower secondary school pupils (n=398) from three municipalities in Telemark, Nordland, and Vestland counties participated in a language classification experiment. The dataset contains quantitative task data on accuracy and reaction times for classifying standard vs. dialectal Norwegian sentences, plus qualitative background questionnaire data from a subset of 352 participants. Anya Vinichenko contributed this replication data, which was last updated on 2026-04-21.
Use Cases
- Analyzing regional differences in literacy competency based on accuracy and reaction time data from three Norwegian counties.
- Investigating the relationship between private digital writing habits and standard literacy performance based on word count and deviation proportion data.
- Studying the impact of exposure to multiple written varieties (Bokmål, Nynorsk, dialects) on classification task performance.
- Modeling reaction time patterns to infer cognitive processing strategies for different literacy profiles.
Strengths
- Includes data from 398 participants, providing a substantial sample size for analysis.
- Contains multiple data types: experimental accuracy/RTs, reading speed measures for 288 participants, and questionnaire data from 352 participants.
- Provides full methodological transparency with included stimuli, questionnaire, analysis code, and experiment file.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2026-04-21 02:27:11; freshness should be verified.
Provenance
- Source
- DataverseNO Harvested Dataverse, author Anya Vinichenko.
- Collection Method
- Data collected via an experimental language classification task and background questionnaires from school pupils.
- Freshness
- Last updated 2026-04-21 02:27:11.
- Geography
- Three Norwegian municipalities in Telemark (Eastern), Nordland (Northern), and Vestland (Western) counties.