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Martin Hecht
Martin Hecht
在 hsu-hh.de 的电子邮件经过验证
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引用次数
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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
1142019
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
842021
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
762021
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
742015
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
702017
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
672009
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
532014
Modeling item position effects using generalized linear mixed models
S Weirich, M Hecht, K Böhme
Applied Psychological Measurement 38 (7), 535-548, 2014
512014
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
472022
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
442014
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
402013
Bayesian continuous-time Rasch models.
M Hecht, K Hardt, CC Driver, MC Voelkle
Psychological Methods 24 (4), 516, 2019
382019
Continuous-time modeling in prevention research: An illustration
M Hecht, MC Voelkle
International Journal of Behavioral Development 45 (1), 19-27, 2021
342021
“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
342017
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
332021
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
332020
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
332020
How many classes and students should ideally be sampled when assessing the role of classroom climate via student ratings on a limited budget? An optimal design perspective
S Zitzmann, W Wagner, M Hecht, C Helm, C Fischer, L Bardach, R Göllner
Educational Psychology Review, 1-26, 2022
322022
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
322021
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
322021
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