| Analyzing process data from problem-solving items with n-grams: Insights from a computer-based large-scale assessment Q He, M Von Davier Handbook of research on technology tools for real-world skill development …, 2016 | 100 | 2016 |
| Predicting self-monitoring skills using textual posts on Facebook Q He, CAW Glas, M Kosinski, DJ Stillwell, BP Veldkamp Computers in human behavior 33, 69-78, 2014 | 80 | 2014 |
| Automated Assessment of Patients’ Self-Narratives for Posttraumatic Stress Disorder Screening Using Natural Language Processing and Text Mining Q He, BP Veldkamp, CAW Glas, T de Vries Assessment 24 (2), 157-172, 2017 | 66 | 2017 |
| Screening for posttraumatic stress disorder using verbal features in self narratives: A text mining approach Q He, BP Veldkamp, T de Vries Psychiatry research 198 (3), 441-447, 2012 | 64 | 2012 |
| Latent feature extraction for process data via multidimensional scaling X Tang, Z Wang, Q He, J Liu, Z Ying Psychometrika 85 (2), 378-397, 2020 | 57 | 2020 |
| Identifying Feature Sequences from Process Data in Problem-Solving Items with N-Grams Q He, M von Davier Quantitative Psychology Research: The 79th Annual Meeting of the …, 2015 | 56 | 2015 |
| Leveraging process data to assess adults’ problem-solving skills: Using sequence mining to identify behavioral patterns across digital tasks Q He, F Borgonovi, M Paccagnella Computers & Education 166, 104170, 2021 | 53 | 2021 |
| Collaborative problem solving measures in the Programme for International Student Assessment (PISA) Q He, M von Davier, S Greiff, EW Steinhauer, PB Borysewicz Innovative assessment of collaboration, 95-111, 2017 | 53 | 2017 |
| Developments in psychometric population models for technology-based large-scale assessments: An overview of challenges and opportunities M von Davier, L Khorramdel, Q He, HJ Shin, H Chen Journal of Educational and Behavioral Statistics 44 (6), 671-705, 2019 | 46 | 2019 |
| Combining clickstream analyses and graph-modeled data clustering for identifying common response processes E Ulitzsch, Q He, V Ulitzsch, H Molter, A Nichterlein, ... Psychometrika, 2021 | 45 | 2021 |
| Predictive feature generation and selection using process data from PISA interactive problem-solving items: An application of random forests Z Han, Q He, M Von Davier Frontiers in Psychology 10, 447759, 2019 | 42 | 2019 |
| Mapping background variables with sequential patterns in problem-solving environments: An investigation of United States adults’ employment status in PIAAC D Liao, Q He, H Jiao Frontiers in Psychology 10, 420721, 2019 | 37 | 2019 |
| Use of response process data to inform group comparisons and fairness research K Ercikan, H Guo, Q He Educational Assessment 25 (3), 179-197, 2020 | 31 | 2020 |
| Using process data to understand adults’ problem-solving behaviour in the programme for the international assessment of adult competencies (PIAAC): Identifying generalised … Q He, F Borgonovi, M Paccagnella OECD, 2019 | 31 | 2019 |
| Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks E Ulitzsch, Q He, S Pohl Journal of Educational and Behavioral Statistics 47 (1), 3-35, 2022 | 29 | 2022 |
| Exploring latent states of problem‐solving competence using hidden Markov model on process data Y Xiao, Q He, B Veldkamp, H Liu Journal of Computer Assisted Learning 37 (5), 1232-1247, 2021 | 27 | 2021 |
| Clustering Behavioral Patterns Using Process Data in PIAAC Problem-Solving Items Q He, D Liao, H Jiao Theoretical and Practical Advances in Computer-based Educational Measurement …, 2019 | 24 | 2019 |
| Assessing impact of differential symptom functioning on post‐traumatic stress disorder (PTSD) diagnosis Q He, CAW Glas, BP Veldkamp International Journal of Methods in Psychiatric Research 23 (2), 131-141, 2014 | 21 | 2014 |
| A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks E Ulitzsch, V Ulitzsch, Q He, O Lüdtke Behavior Research Methods 55 (3), 1392-1412, 2023 | 20 | 2023 |
| Text mining and IRT for psychiatric and psychological assessment Q He University of Twente, 2013 | 20 | 2013 |
