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Martin Hecht
Martin Hecht
Verified email at hsu-hh.de
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Year
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
912019
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
692021
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
692015
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
632017
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
612009
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
562021
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
492014
Modeling item position effects using generalized linear mixed models
S Weirich, M Hecht, K Böhme
Applied Psychological Measurement 38 (7), 535-548, 2014
462014
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
432014
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
372013
Bayesian continuous-time Rasch models.
M Hecht, K Hardt, CC Driver, MC Voelkle
Psychological Methods 24 (4), 516, 2019
342019
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
332022
“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, 256507, 2017
332017
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
292020
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
282017
Continuous-time modeling in prevention research: An illustration
M Hecht, MC Voelkle
International Journal of Behavioral Development 45 (1), 19-27, 2021
272021
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
262021
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
262020
Why assessment in medical education needs a solid foundation in modern test theory
SK Schauber, M Hecht, ZM Nouns
Advances in Health Sciences Education 23, 217-232, 2018
252018
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
242022
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