Highlighted publications
Schuurman, N. K., & Hamaker, E. L. (2019). Measurement Error and Person-Specific Reliability in Multilevel Autoregressive Modeling. Psychological Methods, 24(1), 70-91. https://doi.org/10.1037/met0000188
Schuurman, N. K., Ferrer, E., de Boer-Sonnenschein, M., & Hamaker, E. L. (2016). How to Compare Cross-Lagged Associations in a Multilevel Autoregressive Model. Psychological Methods, 21(2), 206-221. https://doi.org/10.1037/met0000062
Publications
2023
Scholarly publications
Schuurman, T., Henrichs, L., Schuurman, N., Polderdijk, S., & Hornstra, L. (2023). Learning Loss in Vulnerable Student Populations after the first COVID-19 School Closure in the Netherlands. Scandinavian Journal of Educational Research, 67(2), 309-326. https://doi.org/10.1080/00313831.2021.2006307
2022
Scholarly publications
Cooke, E. M., 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, 34(12), 1126–1137. https://doi.org/10.1037/pas0001167
Leertouwer, I., Schuurman, N. K., & Vermunt, J. K. (2022). Are Retrospective Assessments Means of People’s Experiences? Accounting for Interpersonal and Intrapersonal Variability when Comparing Retrospective Assessment Data to Ecological Momentary Assessment Data. Journal for Person-Oriented Research, 8(2), 52-70. https://doi.org/10.17505/jpor.2022.24855
Schuurman, N. K., Zheng, Y., & Dolan, C. V. (2022). Multilevel Dynamic Twin Modeling. Structural Equation Modeling, 29(1), 101-121. https://doi.org/10.1080/10705511.2021.1937177
Ryan, O., Bringmann, L. F., & Schuurman, N. K. (2022). The Challenge of Generating Causal Hypotheses Using Network Models. Structural Equation Modeling, 29(6), 953-970. https://doi.org/10.31234/osf.io/ryg69, https://doi.org/10.1080/10705511.2022.2056039
2021
Scholarly publications
Leertouwer, IJ., Vermunt, J. K., Cramer, A., & Schuurman, N. (2021). A Review of Explicit and Implicit Assumptions When Providing Personalized Feedback Based on Self-Report EMA Data. Frontiers in Psychology, 12, [764526]. https://doi.org/10.3389/fpsyg.2021.764526
https://dspace.library.uu.nl/bitstream/handle/1874/414086/A_Review_of_Explicit_and_Implicit_Assumptions_When.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/414086/A_Review_of_Explicit_and_Implicit_Assumptions_When.pdf?sequence=1
2020
Scholarly publications
Olde Rikkert, M. G. M., Schuurman, N. K., & Melis, R. J. F. (2020). Phase Transitions and Resilience in Physical and Psychological Health. In Y. Apostolopoulos, M. K. Lemke, & K. Hassmiller Lich (Eds.), Complex Systems and Population Health (pp. 59-72). Oxford University Press. https://doi.org/10.1093/oso/9780190880743.003.0005
2019
Scholarly publications
Schuurman, N. K., & Hamaker, E. L. (2019). Measurement Error and Person-Specific Reliability in Multilevel Autoregressive Modeling. Psychological Methods, 24(1), 70-91. https://doi.org/10.1037/met0000188
2017
Scholarly publications
Hamaker, E. L., Schuurman, N. K., & Zijlmans, E. (2017). Using a few snapshots to distinguish mountains from waves: Weak factorial invariance in the context of trait-state research. Multivariate Behavioral Research, 52(1), 47-60. https://doi.org/10.1080/00273171.2016.1251299
2016
Scholarly publications
Schuurman, N. K. (2016). Performance of the Normal VAR Model for Skewnormal and Truncated Normal Residuals Using AutovarCore. Universiteit Utrecht/Rijksuniversiteit Groningen.
Schuurman, N. K., Ferrer, E., de Boer-Sonnenschein, M., & Hamaker, E. L. (2016). How to Compare Cross-Lagged Associations in a Multilevel Autoregressive Model. Psychological Methods, 21(2), 206-221. https://doi.org/10.1037/met0000062
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, 51(2-3), 185-206. https://doi.org/10.1080/00273171.2015.1065398
Schuurman, N. K. (2016). Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. Utrecht University.
https://dspace.library.uu.nl/bitstream/handle/1874/337475/Schuurman.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/337475/Schuurman.pdf?sequence=1
2015
Scholarly publications
Schuurman, N. K. (2015). Model Selection and Parameter Recovery Performance of AutovarCore Under Ideal Circumstances. Universiteit Utrecht/Rijksuniversiteit Groningen.
Schuurman, N. K., Houtveen, J. H., & Hamaker, E. L. (2015). Incorporating measurement error in n=1 psychological autoregressive modeling. Frontiers in Psychology, 6, 1-15. [1038]. https://doi.org/10.3389/fpsyg.2015.01038
https://dspace.library.uu.nl/bitstream/handle/1874/325548/fpsyg_06_01038.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/325548/fpsyg_06_01038.pdf?sequence=1
2014
Scholarly publications
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(SEP), [Article 883]. https://doi.org/10.3389/fpsyg.2014.00883