Publications
- Schuurman, N.K. A "Within/Between Problem" Primer: About (Not) Separating Within-Person Variance and Between-Person Variance in Psychology. pre-print
- Leertouwer, IJ., Vermunt, J.K., & Schuurman, N.K. Do People Gain Insight from Personalized Feedback about Distributions of their Affective Experiences? pre-print
- Leertouwer, IJ., Vermunt, J.K., & Schuurman, N.K. A Pre-Post Design for Testing Insight from Personalized Feedback about Positive Affect in Contexts. pre-print
- Berkhout, S. W., Schuurman, N.K., & Hamaker, E.L. (in press) A Tool to Simulate and Visualize Dyadic Interaction Dynamics. Psychological Methods.
- Leertouwer, IJ., Schuurman, N.K., & Vermunt, J.K. (2022) Are Retrospective Assessments Means of People’s Experiences? Journal for Person-Oriented Research. Open Access
- Constantin, M.A., Schuurman, N.K., & Vermunt, J.K. (2022) General Monte Carlo Method for Sample Size Analysis in the Context of Network Models. Psychological Methods. pre-print
- Cooke, E., Schuurman, N.K., & Zheng, Y. (2022). Examining the Within- and Between-Person Structure of a Short Form of the Positive and Negative Affect Schedule: A Multilevel and Dynamic Approach. Psychological Assessment.
- Ryan, O., Bringmann, L.F., & Schuurman, N.K. (2022). The challenge of generating causal hypotheses using network models. Structural Equation Modeling: A Multidisciplinary Journal Open Access
- Leertouwer, IJ., Cramer, A.O.J., Vermunt, J.K., & Schuurman, N.K. (2021). A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based On EMA Data. Frontiers in Psychology. Open Access
- Schuurman, T., Henrichs, L.F., Schuurman, N.K., Polderdijk, S., & Hornstra, L. (2021). Learning Loss in Vulnerable Student Populations after the COVID-19 school Closures. Scandinavian Journal of Educational Research. Open Access
- Schuurman, N.K., Zheng, Y. & Dolan, C.V. (2021). Multilevel dynamic twin modeling. Structural Equation Modeling: A Multidisciplinary Journal. Open Access; Supplemental Materials
- Rikkert, M.G., Schuurman, N.K., & Melis, R. (2020). Complex systems, phase transitions and resilience in medicine and clinical psychology. In "Complex systems and population health."
- Schuurman, N.K. & Hamaker, E.L. (2019). Measurement error and person-specific reliability in multilevel autoregressive models. Psychological Methods.
- Hamaker, E.L., Schuurman, N.K. & Zijlmans, Eva (2016). Using a few snapshots to distinguish mountains from waves: Weak factorial invariance in the context of trait-state research. Multivariate Behavioral Research.
- Schuurman, N.K. (2016). Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. Doctoral dissertation (ISBN 978-90-393-6585-4). Utrecht University. Download pdf
- Schuurman, N.K., Ferrer, E., de Boer-Sonnenschein, M., & Hamaker, E.L. (2016). Studying individual differences in cross-lagged associations by standardizing multilevel autoregressive models. Psychological Methods.
- Schuurman, N.K., Grasman, R.P.P.P., & Hamaker, E.L. (2016). A comparison of Inverse-Wishart prior specifications for covariance matrices in multilevel autoregressive models. Multivariate Behavioral Research.
- Schuurman, N.K. (2016). Performance of the Normal VAR Model for Skewnormal and Truncated Normal Residuals Using AutovarCore (Technical Report). Groningen: Interdisciplinary Centre Psychopathology and Emotion regulation, Groningen University.
- Schuurman, N.K. (2015). Model Selection and Parameter Recovery Performance of AutovarCore Under Ideal Circumstances (Technical Report). Groningen: Interdisciplinary Centre Psychopathology and Emotion regulation, Groningen University.
- Schuurman, N.K., Houtveen, J.H., & Hamaker, E.L. (2015). Incorporating measurement error in n=1 psychological autoregressive modeling. Frontiers in Psychology, 6. doi: 10.3389/fpsyg.2015.01038 Open Access
- Adolf, J., Schuurman, N. K., Borkenau, P., Borsboom, D., & Dolan, C. V. (2014). Measurement invariance within and between individuals: A distinct problem in testing the equivalence of intra- and inter-individual model structures. Frontiers in Psychology, 5.
- van Grootel, L., Schuurman, N.K., Klugkist, I.G., Hox, J., & van Wesel, F. Using Bayesian estimation for matching information from quantitative and qualitative sources in a mixed studies review.