Fang, Q., Burger, J., Meijers, R., & van Berkel, K. (2021). The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response. Survey Research Methods, 15(1), 1-25. A more concise version of the paper is available here. Presented at BigSurv20. Access the presentation.

Arts, I., Fang, Q., van de Schoot, R., & Meitinger, K. (2021). Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization. Frontiers in Psychology, 12.

Du, Y., Fang, Q., & Nguyen, D. (2021). Assessing the Reliability of Word Embedding Gender Bias Measures. EMNLP.

van de Schoot, R., de Bruin, J., Schram, R., Zahedi, P., de Boer, J., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Tummers, L., & Oberski, D. L.. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133.

Sosnovsky, S., Fang, Q., de Vries, B., Luehof, S., & Wiegant, F. (2020). Towards Adaptive Social Comparison for Education. In C. Alario-Hoyos, M.J. Rodríguez-Triana, M. Scheffel, I. Arnedillo-Sánchez, & S.M. Dennerlein (Eds.) Proceedings of EC-TEL’2020: 15th European Conference on Technology Enhanced Learning (pp. 421-426). Berlin/Heidelberg, Germany: Springer.