Creator: Joris Mulder (Centerdata)
| Title | Description |
|---|---|
| LISS panel > Social Integration and Leisure > Wave 7 | This is the seventh wave of the LISS Core Study module called 'Social Integration and Leisure' |
| LISS panel > Social Integration and Leisure > Wave 8 | This is the eighth wave of the LISS Core Study module called 'Social Integration and Leisure' |
| LISS panel > Social Integration and Leisure > Wave 9 | This is the ninth wave of the LISS Core Study module called 'Social Integration and Leisure' |
| LISS panel > Social Integration and Leisure > Wave 10 | This is the tenth wave of the LISS Core Study module called 'Social Integration and Leisure' |
| LISS panel > Social Integration and Leisure > Wave 11 | This is the eleventh wave of the LISS Core Study module called 'Social Integration and Leisure' |
| LISS panel > Social Integration and Leisure > Wave 12 | This is the twelfth wave of the LISS Core Study module called 'Social Integration and Leisure'. |
| LISS Data Archive > Voice recorded interviews and audio analysis | The aim of the project is to explore the possibilities of integrating audio recordings (Speech-to-Text and text transcription for open-ended questions) and its process into a traditional survey data collection. The project is part of the European SSHOC project in which the LISS panel and Centerdata also participate. The questionnaire consists of 5 modules. Each module starts with a survey question with a categorical response option. For the follow-up questions, respondents were to respond orally, and their responses were stored as audio files and transcribed to text. If respondents could not respond verbally, they could type their answers. |
| LISS Data Archive > Predicting Fertility (PreFer) data challenge | The aim of the challenge is to measure current predictability of fertility outcomes in the Netherlands to advance our understanding of fertility. The PreFer data challenge focuses on the following task: for people aged 18-45 in 2020, predict who will have a(nother) child within the following three years (2021-2023) based on the data up to and including 2020. In the challenge, multiple research teams use two unique data sources to make predictions: the modules and waves from the longitudinal LISS Core Study representing a random representative sample of the Dutch population, and administrative data from Statistics Netherlands covering the entire Dutch population. Comparing and interpreting the models created in the challenge will help quantify the existing knowledge and gain insights. More information can be found here: https://preferdatachallenge.nl And at the PreFer GitHub repository: https://github.com/eyra/fertility-prediction-challenge |