| Going beyond convergence in Bayesian estimation: Why precision matters too and how to assess it S Zitzmann, M Hecht Structural Equation Modeling: A Multidisciplinary Journal 26 (4), 646-661, 2019 | 97 | 2019 |
| On the performance of Bayesian approaches in small samples: A comment on Smid, McNeish, Miocevic, and van de Schoot (2020) S Zitzmann, O Lüdtke, A Robitzsch, M Hecht Structural Equation Modeling: A Multidisciplinary Journal 28 (1), 40-50, 2021 | 71 | 2021 |
| The role of environmental and individual characteristics in the development of student achievement: a comparison between a traditional and a problem-based-learning curriculum SK Schauber, M Hecht, ZM Nouns, A Kuhlmey, S Dettmer Advances in health sciences education 20, 1033-1052, 2015 | 70 | 2015 |
| Item position effects are moderated by changes in test-taking effort S Weirich, M Hecht, C Penk, A Roppelt, K Böhme Applied psychological measurement 41 (2), 115-129, 2017 | 66 | 2017 |
| User experience lifecycle model ContinUE [continuous user experience] AE Pohlmeyer, M Hecht, L Blessing Der Mensch im Mittepunkt technischer Systeme. Fortschritt-Berichte VDI Reihe …, 2009 | 64 | 2009 |
| Sample size recommendations for continuous-time models: Compensating shorter time series with larger numbers of persons and vice versa M Hecht, S Zitzmann Structural Equation Modeling: A Multidisciplinary Journal 28 (2), 229-236, 2021 | 62 | 2021 |
| Students' argumentative writing skills in science and first-language education: commonalities and differences P Heitmann, M Hecht, J Schwanewedel, S Schipolowski International Journal of Science Education 36 (18), 3148-3170, 2014 | 50 | 2014 |
| Modeling item position effects using generalized linear mixed models S Weirich, M Hecht, K Böhme Applied Psychological Measurement 38 (7), 535-548, 2014 | 47 | 2014 |
| Nested multiple imputation in large-scale assessments S Weirich, N Haag, M Hecht, K Böhme, T Siegle, O Lüdtke Large-scale assessments in education 2, 1-18, 2014 | 44 | 2014 |
| Coping with the COVID-19 pandemic: perceived changes in psychological vulnerability, resilience and social cohesion before, during and after lockdown S Silveira, M Hecht, H Matthaeus, M Adli, MC Voelkle, T Singer International Journal of Environmental Research and Public Health 19 (6), 3290, 2022 | 39 | 2022 |
| On the role of biomedical knowledge in the acquisition of clinical knowledge SK Schauber, M Hecht, Z M Nouns, S Dettmer Medical Education 47 (12), 1223-1235, 2013 | 38 | 2013 |
| Bayesian continuous-time Rasch models. M Hecht, K Hardt, CC Driver, MC Voelkle Psychological Methods 24 (4), 516, 2019 | 34 | 2019 |
| “Learning Science Is About Facts and Language Learning Is About Being Discursive”—An Empirical Investigation of Students' Disciplinary Beliefs in the Context of Argumentation P Heitmann, M Hecht, R Scherer, J Schwanewedel Frontiers in psychology 8, 946, 2017 | 34 | 2017 |
| Investigating differential effects of socio-emotional and mindfulness-based online interventions on mental health, resilience and social capacities during the COVID-19 pandemic … M Godara, S Silveira, H Matthäus, C Heim, M Voelkle, M Hecht, EB Binder, ... PLoS One 16 (11), e0256323, 2021 | 30 | 2021 |
| A computationally more efficient Bayesian approach for estimating continuous-time models M Hecht, S Zitzmann Structural Equation Modeling: A Multidisciplinary Journal 27 (6), 829-840, 2020 | 30 | 2020 |
| Prior specification for more stable Bayesian estimation of multilevel latent variable models in small samples: A comparative investigation of two different approaches S Zitzmann, C Helm, M Hecht Frontiers in Psychology 11, 611267, 2021 | 28 | 2021 |
| Modellierung des Kompetenzteilbereichs naturwissenschaftliche Untersuchungen N Wellnitz, M Hecht, P Heitmann, A Kauertz, J Mayer, E Sumfleth, ... Zeitschrift für Erziehungswissenschaft 20 (4), 556-584, 2017 | 28 | 2017 |
| Continuous-time modeling in prevention research: An illustration M Hecht, MC Voelkle International Journal of Behavioral Development 45 (1), 19-27, 2021 | 27 | 2021 |
| Integrating out nuisance parameters for computationally more efficient Bayesian estimation–An illustration and tutorial M Hecht, C Gische, D Vogel, S Zitzmann Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 483-493, 2020 | 27 | 2020 |
| Exploring the unfolding of dynamic effects with continuous-time models: Recommendations concerning statistical power to detect peak cross-lagged effects M Hecht, S Zitzmann Structural Equation Modeling: A Multidisciplinary Journal 28 (6), 894-902, 2021 | 25 | 2021 |
Steffen ZitzmannProfessor (Full) of Quantitative Methods, Medical School Hamburg在 medicalschool-hamburg.de 的电子邮件经过验证
