Meta-analysis and gender classification of 914 national and international surveys in six European countries (2000-2023)

This data frame presents the results of a quantitative content analysis of the occurrence of gender‐based concepts, themes, issues, and solutions within large‐scale political and sociological survey questionnaires fielded cross‐nationally in Europe and in six European countries: Denmark, Germany, Hungary, Switzerland and the UK, spanning 2000‐2023. Data was collected by teams from each country between September 2023‐January 2024. Teams collected questions in the original language and provided a translation into English. Analysis was conducted using the translated text. The unit of analysis (‘CODING_UNIT_TEXT’) was the individual 'gender‐related argument' within a survey question. This could be the entire survey question, a sub‐question (in the case of matrix questions), or a singular response option (for multiple choice questions). Coding units were coded in three key domains:(1) Gender concepts, (2) Themes/issues, and (3) Solutions. Up to two Themes/Issues and Solutions could be coded per coding unit. Several coding categories within the Themes/Issues and Solutions domains function hierarchically, where a coder first assigned a higher‐level category and then as many subcategories as applicable. For example, a question concerning government‐funded childcare is coded as B1_Economy ‐> B1_4_LabourMarket ‐> B1_4_1_CareWork ‐> B1_4_1_3_Childcare. The corresponding codebook presents the unitisation process and coding categories in full detail.