Textisms in WhatsApp and spelling in academic texts of Andalusian adolescents: anonymised dataset

This dataset contains the coded data from a content-analysis study of the WhatsApp writing of 206 students in the 3rd and 4th years of compulsory secondary education from 12 schools in Andalusia (Spain). For each student, about 20 WhatsApp messages and their academic texts were analysed (56,176 words). Variables include course, sex, the frequency of 22 types of textisms and the number of spelling errors by type in the academic texts. The original messages and texts are not included. Anonymisation: the collection date was removed, school names were replaced by codes and participants were renumbered. Files: data (CSV and SPSS) and codebook.