Publikationen
Psychologische Methodenlehre
2021
Hecht, M., & Voelkle, M. C. (2021). Continuous-time modeling in prevention research: An illustration. International Journal of Behavioral Development, 45(1), 19-27. https://doi.org/10.1177/0165025419885026
Gische, C., West, S. G., & Voelkle, M. C. (2021). Forecasting Causal Effects of Interventions versus Predicting Future Outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 28(3), 475-492. https://doi.org/10.1080/10705511.2020.1780598
Arnold, M., Voelkle, M. C., & Brandmaier, A. M. (2021). Score-Guided Structural Equation Model Trees. Frontiers in Psychology, 11(3913). https://doi.org/10.3389/fpsyg.2020.564403
Driver, C. C., & Voelkle, M. C. (2021). Hierarchical continuous time modeling. In J. F. Rauthmann (Ed.), The Handbook of Personality Dynamics and Processes (pp. 887-908). San Diego, CA: Elsevier. https://doi.org/10.1016/B978-0-12-813995-0.00034-0
Zyphur, M. J., Hamaker, E. L., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Allison, P. D., Pierides, D. C., Koval, P., & Diener, E. F. (2021). From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM) [Methods]. Frontiers in Psychology, 12(112). https://doi.org/10.3389/fpsyg.2021.612251
Arnold, M., Brandmaier, A. M., & Voelkle, M. C. (2021). Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr. Psych, 3(3), 360-385. https://doi.org/10.3390/psych3030027
Eising, C. M., Voelkle, M. C., Rohner, S. L., Maercker, A., & Thoma, M. V. (2021). Lifetime post-traumatic stress disorder in older individuals with a history of institutional upbringing in childhood: the role of social acknowledgement and stressful life events. European Journal of Psychotraumatology, 12(1), 1915578. https://doi.org/10.1080/20008198.2021.1915578
Genç, E., Schlüter, C., Fraenz, C., Arning, L., Metzen, D., Nguyen, H. P., Voelkle, M. C., Streit, F., Güntürkün, O., Kumsta, R., & Ocklenburg, S. (2021). Polygenic Scores for Cognitive Abilities and Their Association with Different Aspects of General Intelligence-A Deep Phenotyping Approach. Mol Neurobiol, 58(8), 4145-4156. https://doi.org/10.1007/s12035-021-02398-7
Gische, C., & Voelkle, M. C. (2021). Beyond the mean: a flexible framework for studying causal effects using linear models. Psychometrika. https://doi.org/10.1007/s11336-021-09811-z
Godara, M., Silveira, S., Matthäus, H., Heim, C., Voelkle, M. C., Hecht, M., Binder, E. B., & Singer, T. (2021). Investigating differential effects of socio-emotional and mindfulness-based online interventions on mental health, resilience and social capacities during the COVID-19 pandemic: The study protocol. PLOS ONE, 16(11), e0256323. https://doi.org/10.1371/journal.pone.0256323
Lazarides, C., Moog, N. K., Verner, G., Voelkle, M. C., Henrich, W., Heim, C. M., Braun, T., Wadhwa, P. D., Buss, C., & Entringer, S. (2021). The association between history of prenatal loss and maternal psychological state in a subsequent pregnancy: an ecological momentary assessment (EMA) study. Psychological Medicine, 1-11. https://doi.org/10.1017/S0033291721002221
2020
Neubauer, A. B., Voelkle, M. C., Voss, A., & Mertens, U. K. (2020). Estimating reliability of within-person couplings in a multilevel framework. Journal of Personality Assessment, 102, 10-21. doi:10.1080/00223891.2018.1521418
Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes II: Comparing Approaches to Panel Data Analysis. Organizational Research Methods, 23(4), 688-716. https://doi.org/10.1177/1094428119847280
Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM). Organizational Research Methods, 23(4), 651-687. doi:10.1177/1094428119847278
Hardt, K., Hecht, M., & Voelkle, M. C. (2020). Robustness of Individual Score Methods against Model Misspecification in Autoregressive Panel Models. Structural Equation Modeling: A Multidisciplinary Journal, 27(2), 240-254. doi:10.1080/10705511.2019.1642755
Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying Heterogeneity in Dynamic Panel Models with Individual Parameter Contribution Regression. Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 613-628. https://doi.org/10.1080/10705511.2019.1667240
von Oertzen, T., Schmiedek, F., & Voelkle, M. C. (2020). Ergodic Subspace Analysis. Journal of Intelligence, 8(1). doi:10.3390/jintelligence8010003
Brose, A., Schmiedek, F., Gerstorf, D., & Voelkle, M. C. (2020). The measurement of within–person affect variation. Emotion, 20(4), 677-699. https://doi.org/10.1037/emo0000583
Lazarides, C., Ward, E. B., Buss, C., Chen, W.-P., Voelkle, M. C., Gillen, D. L., Wadhwa, P. D., Entringer, S. (2020). Psychological stress and cortisol during pregnancy: An ecological momentary assessment (EMA)-Based within- and between-person analysis. Psychoneuroendocrinology, 121, 104848. doi: 10.1016/j.psyneuen.2020.104848
Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2020). Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data. Frontiers in Psychology, 11(351). doi:10.3389/fpsyg.2020.00351
Guthier, C., Dormann, C., & Voelkle, M. C. (2020). Reciprocal effects between job stressors and burnout: A continuous time meta-analysis of longitudinal studies. Psychological Bulletin, 146(12), 1146-1173. https://doi.org/10.1037/bul0000304
Bach, D. R., Melinščak, F., Fleming, S. M., & Voelkle, M. C. (2020). Calibrating the experimental measurement of psychological attributes. Nature Human Behaviour, 4(12), 1229-1235. https://doi.org/10.1038/s41562-020-00976-8
2019
Hecht, M., Gische, C., Vogel, D., & Zitzmann, S. (2019). Integrating out nuisance parameters for computationally more efficient Bayesian estimation – An illustration and tutorial. Structural Equation Modeling: A Multidisciplinary Journal. Advance online publication. doi:10.1080/10705511.2019.1647432
Schulz-Zhecheva, Y., Voelkle, M. C., Beauducel, A., Buch, N., Fleischhaker, C., Bender, S., . . . Klein, C. (2019). ADHD Traits in German School-Aged Children: Validation of the German Strengths and Weaknesses of ADHS Symptoms and Normal Behavior (SWAN-DE) Scale. Journal of Attention Disorders, 23(6), 553-562. doi:10.1177/1087054716676365
Volz, M., Voelkle, M. C., & Werheid, K. (2019). General self-efficacy as a driving factor of post-stroke depression: A longitudinal study. Neuropsychological Rehabilitation, 29(9), 1426-1438. doi:10.1080/09602011.2017.1418392
Hardt, K., Hecht, M., Oud, J. H. L., & Voelkle, M. C. (2019). Where Have the Persons Gone? – An Illustration of Individual Score Methods in Autoregressive Panel Models. Structural Equation Modeling: A Multidisciplinary Journal, 26(2), 310-323. doi:10.1080/10705511.2018.1517355
Hecht, M., Hardt, K., Driver, C. C., & Voelkle, M. C. (2019). Bayesian continuous-time Rasch models. Psychological Methods, 24(4), 516-537. doi:10.1037/met0000205
Wagner, J., Lüdtke, O., & Voelkle, M. C. (2019). Using Dynamic Panel Models to Study Age-related Differences and Time-related Changes in Personality. European Journal of Personality, 33(3), 420-434. doi:10.1002/per.2200
Lazarides, C., Epel, E. S., Lin, J., Blackburn, E. H., Voelkle, M. C., Buss, C., . . . Entringer, S. (2019). Maternal pro-inflammatory state during pregnancy and newborn leukocyte telomere length: A prospective investigation. Brain Behav Immun, 80, 419-426. doi:10.1016/j.bbi.2019.04.021
Zitzmann, S., & Hecht, M. (2019). Going beyond convergence in Bayesian estimation: Why precision matters too and how to assess it. Structural Equation Modeling: A Multidisciplinary Journal, 26, 646–661. doi:10.1080/10705511.2018.1545232
Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Voelkle, M. C., Hossiep, R., & Güntürkün, O. (2019). The neural architecture of general knowledge. European Journal of Personality, 33(5), 589-605. doi:10.1002/per.2217
Hasl, A., Kretschmann, J., Richter, D., Voelkle, M. C., & Brunner, M. (2019). Investigating core assumptions of the “American Dream”: historical changes in how adolescents’ socioeconomic status, IQ, and GPA are related to key life outcomes in adulthood. Psychology & Aging, 34, 1055-1076. doi:https://doi.org/10.1037/pag0000392
Schüttpelz-Braun, K., Hecht, M., Hardt, K., Karay, Y., Zupanic, M., & Kämmer, J. (2019). Institutional strategies related to test-taking behavior in low stakes assessment. Advances in Health Sciences Education. Advance online publication. doi:10.1007/s10459-019-09928-y
2018
Oud, J. H. L., Voelkle, M. C., & Driver, C. C. (2018). SEM Based CARMA Time Series Modeling for Arbitrary N. Multivariate Behavioral Research, 53(1), 36-56. doi:10.1080/00273171.2017.1383224
Schlüter, C., Fraenz, C., Pinnow, M., Voelkle, M. C., Güntürkün, O., & Genç, E. (2018). Volition and academic achievement: Interindividual differences in action control mediate the effects of conscientiousness and sex on secondary school grading. Motivation Science, 4(3), 262-273. doi:10.1037/mot0000083
Wagner, J., Voelkle, M. C., Hoppmann, C. A., Luszcz, M. A., & Gerstorf, D. (2018). We are in this together: Dyadic patterns of self-esteem change in late-life couples. International Journal of Behavioral Development, 42, 34-42. doi: 10.1177/0165025416679742
Driver, C. C., & Voelkle, M. C. (2018). Hierarchical Bayesian continuous time dynamic modeling. Psychological Methods, 23(4), 774-799. doi:10.1037/met0000168
Yuan, P., Voelkle, M. C., & Raz, N. (2018). Fluid intelligence and gross structural properties of the cerebral cortex in middle-aged and older adults: A multi-occasion longitudinal study. NeuroImage, 172, 21-30. doi: 10.1016/j.neuroimage.2018.01.032
Ebner, N. C., Luedicke, J., Voelkle, M. C., Riediger, M., Lin, T., & Lindenberger, U. (2018). An Adult Developmental Approach to Perceived Facial Attractiveness and Distinctiveness. Frontiers in Psychology, 9(561). doi:10.3389/fpsyg.2018.00561
Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Hossiep, R., Voelkle, M. C., Ling, J. M., Güntürkün, O., Jung, R. E. (2018). Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence. Nature Communications, 9(1), 1905. doi:10.1038/s41467018042688
Kittler, C., Gische, C., Arnold, M., & Jekauc, D. (2018). Der Einfluss eines achtsamkeitsbasierten Trainingsprogramms auf die Emotionsregulation von Sportlerinnen und Sportlern. Zeitschrift für Sportpsychologie, 25(4), 146-155.
Oud, J. H. L., Driver, C. C., & Voelkle, M. C. (2018). First- and higher-order continuous time models for arbitrary N using SEM. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous Time Modeling in the Behavioral and Related Sciences (pp. 1-26). Cham, Switzerland: Springer Nature.
Montfort, K. v., Oud, J. H. L., & Voelkle, M. C. (Eds.). (2018). Continuous time modeling in the behavioral and related sciences. Cham, Switzerland: Springer Nature.
Driver, C. C., & Voelkle, M. C. (2018). Understanding the time course of interventions with continuous time dynamic models. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 79-109). Cham, Switzerland: Springer Nature.
Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. v. Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous Time Modeling in the Behavioral and Related Sciences (pp. 259-282). Cham, Switzerland: Springer Nature.
Mueller, S., Wagner, J., Smith, J., Voelkle, M. C., & Gerstorf, D. (2018). The interplay of personality and functional health in old and very old age: Dynamic within-person interrelations across up to 13 years. Journal of Personality and Social Psychology, 115, 1127-1147. doi: 10.1037/pspp0000173.
Voelkle, M. C., Luedtke, O., & von Oertzen, T. (2018). Zurück in die Zukunft? Ein Diskussionsbeitrag zum "Positionspapier zur Rolle der Psychologischen Methodenlehre in Forschung und Lehre". Psychologische Rundschau, 69, 358-360. doi:10.1026/0033-3042/a000417
Voelkle, M. C., Gische, C., Driver, C. C., & Lindenberger, U. (2018). The role of time in the quest for understanding psychological mechanisms. Multivariate Behavioral Research, 53(6), 782-805. doi:10.1080/00273171.2018.1496813
Schauber, S. K., & Hecht, M., & Nouns, Z. M. (2018). Why assessment in medical education needs a solid foundation in modern test theory. Advances in Health Sciences Education, 23, 217–232. doi:10.1007/s10459-017-9771-4
2017
Driver, C. C., Oud, J. H. L., & Voelkle, M. C. (2017). Continuous Time Structural Equation Modeling with R Package ctsem. Journal of Statistical Software, 77(5), 1-35. doi:10.18637/jss.v077.i05
Klumb, P. L., Voelkle, M. C., & Siegler, S. (2017). How negative social interactions at work seep into the home: A prosocial and an antisocial pathway. Journal of Organizational Behavior, 38(5), 629-649. doi:10.1002/job.2154
Voelkle, M. C., & Wagner, J. (2017). Analyzing personality change: From average trajectories to within-person dynamics. In J. Specht (Ed.), Personality Development Across the Lifespan (pp. 497-516). London, UK: Elsevier.
Voelkle, M. C. (2017). A new perspective on three old methodological issues: The role of time, missing values, and cohorts in longitudinal models of youth development. In A. C. Petersen, S. H. Koller, F. Motti-Stefanidi, & S. Verma (Eds.), Positive youth development in global contexts of social and economic change (pp. 110-136). New York, NY: Taylor & Francis.
Heitmann, P., Hecht, M., Scherer, R., & Schwanewedel, J. (2017). "Learning science is about facts and language learning is about being discursive": An empirical investigation of students' disciplinary beliefs in the context of argumentation. Frontiers in Psychology, 8, 1-16.
Wellnitz, N., Hecht, M., Heitmann, P., Kauertz, A., Mayer, J., Sumfleth, E., & Walpuski, M. (2017). Modellierung des Kompetenzteilbereichs naturwissenschaftliche Untersuchungen. Zeitschrift für Erziehungswissenschaft. Advance Online Publication. doi:10.1007/s11618-016-0721-3
Voelkle, M. C. (2017). Latent Growth Curve Models (LGMs). In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-5). Cham: Springer International Publishing.
Voelkle, M. C., & Hecht, M. (2017). Longitudinal Research Designs. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-6). Cham: Springer International Publishing.
Voelkle, M. C., & Hecht, M. (2017). Cross-Sectional Research Designs. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (pp. 1-4). Cham: Springer International Publishing.
Adolf, J. K., Voelkle, M. C., Brose, A., & Schmiedek, F. (2017). Capturing Context-Related Change in Emotional Dynamics via Fixed Moderated Time Series Analysis. Multivariate Behavioral Research, 52(4), 499-531. doi:10.1080/00273171.2017.1321978
Wolf, C., An, Y., Tanaka, T., Bilgel, M., Gonzalez, C., Kitner Triolo, M., et al. (2017). Cross-Sectional and Longitudinal Effects of CREB1 Genotypes on Individual Differences in Memory and Executive Function: Findings from the BLSA. Front Aging Neurosci 9, 142. doi: 10.3389/fnagi.2017.00142
de Haan-Rietdijk, S., Voelkle, M. C., Keijsers, L., & Hamaker, E. L. (2017). Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data. Frontiers in Psychology: Quantitative Psychology and Measurement, 8(1849). doi:10.3389/fpsyg.2017.01849
Hecht, M., Siegle, T., & Weirich, S. (2017). A model for the estimation of testlet response time to optimize test assembly in paper-and-pencil large-scale assessments. Journal for Educational Research Online, 9, 32–51.
Pant, H. A., Stanat, P., Hecht, M., Heitmann, P., Jansen, M., Lenski, A. E., Penk, C., Pöhlmann, C., Roppelt, A., Schroeders, U., & Siegle, T. (2017). IQBLändervergleich Mathematik und Naturwissenschaften 2012 (IQB-LV 2012) (Version 4) [Datensatz]. Berlin: IQB – Institut zur Qualitätsentwicklung im Bildungswesen. doi:10.5159/IQB_LV_2012_v4
2016
Bender, A. R., Voelkle, M. C., & Raz, N. (2016). Differential aging of cerebral white matter in middle-aged and older adults: A seven-year follow-up. NeuroImage, 125, 74-83. doi:http://dx.doi.org/10.1016/j.neuroimage.2015.10.030
Duezel, S., Voelkle, M. C., Duzel, E., Gerstorf, D., Drewelies, J., Steinhagen-Thiessen, E., Demuth, I., Lindenberger, U. (2016). The Subjective Health Horizon Questionnaire (SHH-Q): Assessing Future Time Perspectives for Facets of an Active Lifestyle. Gerontology, 62(3), 345-353. doi:10.1159/000441493
Pohl, S., Suedkamp, A., Hardt, K., Carstensen, C., & Weinert, S. (2016). Testing Students with Special Educational Needs – Psychometric properties of test scores and associations with test taking behavior. Frontiers in Psychology, 7(154). http://doi.org/10.3389/fpsyg.2016.00154
Schulz-Zhecheva, Y., Voelkle, M. C., Beauducel, A., Biscaldi, M., & Klein, C. (2016). Predicting fluid intelligence by components of reaction time distributions from simple choice reaction time tasks. Journal of Intelligence, 4(3), 1-12. doi:10.3390/jintelligence4030008
Keijsers, L., Voelkle, M. C., Maciejewski, D., Branje, S., Koot, H., Hiemstra, M., & Meeus, W. (2016). What drives developmental change in adolescent disclosure and maternal knowledge? Heterogeneity in within-family processes. Developmental Psychology, 52(12), 2057-2070. doi:10.1037/dev0000220
Gittel, B., Deutschländer, R., & Hecht, M. (2016). Conveying moods and knowledge-what-it-is-like through lyric poetry: An empirical study of authors’ intentions and readers’ responses. Scientific Study of Literature, 6, 131–163. doi:10.1075/ssol.6.1.07git
Wolf, C., Mohr, H., Diekhof, E.K., Vieker, H., Goya-Maldonado, R., Trost, S., et al. (2016). CREB1 Genotype Modulates Adaptive Reward-Based Decisions in Humans. Cereb Cortex 26(7), 2970-2981. doi: 10.1093/cercor/bhv104
Weirich, S., Hecht, M., Penk, C., Roppelt, A., & Böhme, K. (2017). Item position effects are moderated by changes in test-taking effort. Applied Psychological Measurement, 115–129. doi:10.1177/0146621616676791
Lenski, A. E., Hecht, M., Penk, C., Milles, F., Mezger, M., Heitmann, P., Stanat, P., & Pant, H. A. (2016). IQB-Ländervergleich 2012. Skalenhandbuch zur Dokumentation der Erhebungsinstrumente. Berlin: Humboldt-Universität zu Berlin, Institut zur Qualitätsentwicklung im Bildungswesen. doi:10.20386/HUB-42547
2015
Jekauc, D., Voelkle, M. C., Wagner, M. O., & Mess, F. (2015). Prediction of attendance at fitness center: a comparison between theory of planned behavior, social cognitive theory, and physical activity maintenance theory. Frontiers in Psychology, 6. doi: 10.3389/fpsyg.2015.00121
Brose, A., Voelkle, M. C., Lövdén, M., Lindenberger, U., & Schmiedek, F. (2015). Differences in the between-person and the within-person structures of affect are a matter of degree. European Journal of Personality, 29, 55-71. doi:10.1002/per.1961
Voelkle, M. C., & Oud, J. H. L. (2015). Relating Latent Change Score and Continuous Time Models. Structural Equation Modeling: A Multidisciplinary Journal, 22(3), 366-381. doi:10.1080/10705511.2014.935918
Voelkle, M. C. (2015). Comment on “Morality in everyday life”. Science, 348(6236), 767. doi: 10.1126/science.aaa2409
Voelkle, M. C., & Adolf, J. (2015). History of Longitudinal Statistical Analyses. In N. A. Pachana (Ed.), Encyclopedia of Geropsychology (pp. 1-10). Singapore: Springer Singapore.
Hecht, M., Weirich, S., Siegle, T., & Frey, A. (2015). Effects of design properties on parameter estimation in large-scale assessments. Educational and Psychological Measurement, 75, 1021-1044. doi:10.1177/0013164415573311
Hecht, M., Weirich, S., Siegle, T., & Frey, A. (2015). Modeling booklet effects for nonequivalent group designs in large-scale assessment. Educational and Psychological Measurement, 75, 568-584. doi:10.1177/0013164414554219
Schauber, S. K., Hecht, M., Nouns, Z. M., Kuhlmey, A., & Dettmer, S. (2015). The role of environmental and individual characteristics in the development of student achievement: A comparison between a traditional and a problembased- learning curriculum. Advances in Health Sciences Education, 20, 1033-1052. doi:10.1007/s10459-015-9584-2
Südkamp, A., Pohl, S., Hardt, K., Jordan, A.-K., & Duchhardt, C. (2015). Kompetenzmessung in den Bereichen Lesen und Mathematik bei Schülerinnen und Schülern mit sonderpädagogischem Förderbedarf. In P. Kuhl, P. Stanat, B. Lütje-Klose, C. Gresch, A. H. Pant, & M. Prenzel (Eds.), Inklusion von Schülerinnen und Schülern mit sonderpädagogischem Förderbedarf in Schulleistungserhebungen (pp. 243–272). Wiesbaden: Springer Fachmedien Wiesbaden.
2014
Oud, J. H. L., & Voelkle, M. C. (2014). Continuous time analysis. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 1270-1274). Dordrecht, Netherlands: Springer.
Voelkle, M. C., & Erdfelder, E. (2014). Power analysis. In A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 4989-4993). Dordrecht, Netherlands: Springer.
Oud, J. H. L., & Voelkle, M. C. (2014). Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling. Quality & Quantity, 48, 3271-3288. doi: 10.1007/s11135-013-9955-9
Voelkle, M. C., & Lindenberger, U. (2014). Cognitive development. Front. Young Minds, 2:1. doi: 10.3389/frym.2014.00001
Voelkle, M. C., Brose, A., Schmiedek, F., & Lindenberger, U. (2014). Towards a unified framework for the study of between-person and within-person structures: Building a bridge between two research paradigms. Multivariate Behavioral Research, 49, 193-213. doi: 10.1080/00273171.2014.889593
Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2014). A note on age differences in mood-congruent versus mood-incongruent emotion processing in faces. Frontiers in Psychology, 5:635. doi: 10.3389/fpsyg.2014.00635
Riediger, M.*, Voelkle, M. C.*, Schaefer, S., & Lindenberger, U. [*shared first authorship; authors listed in alphabetical order] (2014). Charting the life course: Age differences and validity of beliefs about lifespan development. Psychology and Aging, 29(3), 503-520. doi: 10.1037/a0036228
Wolf, C., Mohr, H., Schneider-Axmann, T., Reif, A., Wobrock, T., Scherk, H., et al. (2014). CACNA1C genotype explains interindividual differences in amygdala volume among patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci. 264(2):93-102. doi: 10.1007/s00406-013-0427-y. Epub 2013 Jul 24
Weirich, S., Hecht, M., & Böhme, K. (2014). Modeling item position effects using generalized linear mixed models. Applied Psychological Measurement, 38, 535-548. doi:10.1177/0146621614534955
Weirich, S., Haag, N., Hecht, M., Böhme, K., Siegle, T., & Lüdtke, O. (2014). Nested multiple imputation in large-scale assessments. Large-scale Assessments in Education, 2, 1-18. doi:10.1186/s40536-014-0009-0
Heitmann, P., Hecht, M., Schwanewedel, J., & Schipolowski, S. (2014). Students’ argumentative writing skills in science and first-language education: Commonalities and differences. International Journal of Science Education, 36, 3148-3170. doi:10.1080/09500693.2014.962644
2013
Jekauc, D., Voelkle, M. C., Wagner, M. O., Mewes, N., & Woll, A. (2013). Reliability, Validity, and Measurement Invariance of the German Version of the Physical Activity Enjoyment Scale. Journal of Pediatric Psychology, 38(1), 104-115. doi: 10.1093/jpepsy/jss088
Hämmerer, D., Li, S.-C., Voelkle, M. C., Müller, V., & Lindenberger, U. (2013). A lifespan comparison of the reliability, test-retest stability, and signal-to-noise ratio of event-related potentials assessed during performance monitoring. Psychophysiology, 50(1), 111-123. doi: 10.1111/j.1469-8986.2012.01476.x
Voelkle, M. C., & Oud, J. H. L. (2013). Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes. British Journal of Mathematical and Statistical Psychology, 103-126. doi: 10.1111/j.2044-8317.2012.02043.x
Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2013). Here we go again: Anticipatory and reactive mood responses to recurring unpleasant situations throughout adulthood. Emotion, 13(3), 424-433. doi: 10.1037/a0031351
Schauber, S. K., Hecht, M., Nouns, Z. M., & Dettmer, S. (2013). On the role of biomedical knowledge in the acquisition of clinical knowledge. Medical Education, 47, 1223–1235. doi:10.1111/medu.12229
Hecht, M., Roppelt, A. & Siegle, T. (2013). Testdesign und Auswertung des Ländervergleichs. In H. A. Pant, P. Stanat, U. Schroeders, A. Roppelt, T. Siegle, & C. Pöhlmann: IQB-Ländervergleich 2012. Mathematische und naturwissenschaftliche Kompetenzen am Ende der Sekundarstufe I (S. 391-402). Münster: Waxmann.
Schroeders, U., Hecht, M., Heitmann, P., Jansen, M., Kampa, N., Klebba, N., Lenski, A. E., & Siegle, T. (2013). Der Ländervergleich in den naturwissenschaftlichen Fächern. In H. A. Pant, P. Stanat, U. Schroeders, A. Roppelt, T. Siegle, & C. Pöhlmann: IQB-Ländervergleich 2012. Mathematische und naturwissenschaftliche Kompetenzen am Ende der Sekundarstufe I (S. 141-158). Münster: Waxmann.
2012
Voelkle, M. C., Ebner, N. C., Lindenberger, U., & Riediger, M. (2012). Let me guess how old you are: Effects of age, gender, and facial expression on perceptions of age. Psychology and Aging, 27(2), 265-277. doi: 10.1037/a0025065
Voelkle, M. C., & McKnight, P. E. (2012). One size fits all? A monte-carlo simulation on the relationship between repeated measures (M)ANOVA and latent curve modeling. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 8, 23-38. doi: 10.1027/1614-2241/a000044
Zeng, G., Fu, P., May, H., Lopez, B., Suarez-Morales, L., Voelkle, M. C., Wang, C.-P., & Boruch, R. (2012). America’s Youngest Kindergarteners’ Elevated Levels of Internalizing Problems at School Entry and Beyond: Evidence from the Early Childhood Longitudinal Study. School Mental Health, 1-14. doi: 10.1007/s12310-012-9077-x
Jekauc, D., Voelkle, M. C., Laemmle, L., & Woll, A. (2012). Fehlende Werte in sportwissenschaftlichen Untersuchungen: Eine anwendungsorientierte Einführung in multiple Imputation mit SPSS [Missing values in the sport scientific studies: A practical guide to multiple imputation with SPSS]. Sportwissenschaft, 42, 126-136. doi: 10.1007/s12662-012-0249-5
Voelkle, M. C., Oud, J. H. L., von Oertzen, T., & Lindenberger, U. (2012). Maximum likelihood dynamic factor modeling for arbitrary N and T using SEM. Structural Equation Modeling: A Multidisciplinary Journal, 19, 329-350. doi: 10.1080/10705511.2012.687656
Voelkle, M. C., Oud, J. H. L., Davidov, E., & Schmidt, P. (2012). An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia. Psychological Methods, 17(2), 176-192. doi: 10.1037/a0027543
Wolf C and Linden DEJ (2012). Biological pathways to adaptability – interactions between genome, epigenome, nervous system and environment for adaptive behavior. Genes Brain Behav, 11(1), 3-28
Edele, A., Schotte, K., Hecht, M., & Stanat, P. (2012). Listening comprehension tests of immigrant students’ first languages (L1) Russian and Turkish in grade 9: Scaling procedure and results (NEPS Working Paper No. 13). Bamberg: Otto- Friedrich-Universität, Nationales Bildungspanel.
2011
Wittmann, W. W., Lutz, W., Steffanowski, A., Kriz, D., Glahn, E., Voelkle, M. C., Böhnke, J. R., Köck, K., Bittermann, A., & Ruprecht, T. (2011). Qualitätsmonitoring in der ambulanten Psychotherapie: Modellprojekt der Techniker Krankenkasse - Abschlussbericht. Hamburg: Techniker Krankenkasse.
Mueller, K., Voelkle, M. C., & Hattrup, K. (2011). On the relationship between job satisfaction and non-response in employee attitude surveys: A longitudinal field study. Journal of Occupational and Organizational Psychology, 84, 780-798. doi: 10.1348/096317910X526777
Riediger, M., Voelkle, M. C., Ebner, N. C., & Lindenberger, U. (2011). Beyond happy, angry, or sad? Age-of-poser and age-of-rater effects on multi-dimensional emotion perception. Cognition and Emotion, 25(6), 968-982. doi: 10.1080/02699931.2010.540812
Wolf C, Jackson MC, Kissling C, Thome J and Linden DE (2011). Dysbindin-1 genotype effects on emotional working memory. Mol Psychiatry, 16(2), 145-55
2010
Voelkle, M. C., & Erdfelder, E. (2010). Varianz- und Kovarianzanalyse [analysis of variance and covariance]. In C. Wolf & H. Best (Eds.), Handbuch der sozialwissenschaftlichen Datenanalyse [Handbook of data analysis in the social sciences] (pp. 451-489). Wiesbaden: VS-Verlag.
2009
Pohlmeyer, A. E., Hecht, M., & Blessing, L. (2009). User Experience Lifecycle Model ContinUE [Continuous User Experience]. In A. Lichtenstein, C. Stößel & C. Clemens (Eds.), Der Mensch im Mittelpunkt technischer Systeme. Fortschritt- Berichte VDI Reihe 22 Nr. 29 (pp. 314-317). Düsseldorf, Germany: VDI-Verlag
2008
Voelkle, M. C. (2008). Reconsidering the use of autoregressive latent trajectory (ALT) models. Multivariate Behavioral Research, 43, 564-591. doi: 10.1080/00273170802490665
Voelkle, M. C., & Sander, N. (2008). University drop-out: A structural equation approach to discrete-time survival analysis. Journal of Individual Differences, 29(3), 134-147. doi: 10.1027/1614-0001.29.3.134
Krause, B. (2008). Reflexionen aus meinem Wirken für eine naturwissenschaftlich orientierte Psychologie. In: Krause, B. (Hrsg). Entwicklungen in der Experimentellen Psychologie an der Humboldt-Universität zu Berlin. ZeE- Publikationen, Reihe Wissenschaftliche Veranstaltungen, Band 3. Berlin: ZeE
2007
Voelkle, M. C. (2007). Latent growth curve modeling as an integrative approach to the analysis of change. Psychology Science Quarterly, 49(4), 375-414.
Voelkle, M. C., Ackerman, P. L., & Wittmann, W. W. (2007). Effect sizes and F-ratios smaller 1.0: Sense or nonsense? Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 3(1), 35-46. doi: 10.1027/1614-2241.3.1.35
Krause, B. (2007). Zur Konstruktion von messtheoretisch begründeten Ratingskalen. In: Krause, B. und Metzler, P. (Hrsg). ZeE- Publikationen, Reihe Empirische Evaluationsmethoden, Band 11. Berlin: ZeE
2006
Voelkle, M. C., Wittmann, W. W., & Ackerman, P. L. (2006). Abilities and skill acquisition: A latent growth curve approach. Learning and Individual Differences, 16, 303-319. doi: 10.1016/j.lindif.2006.01.001
Krause, B. (2006). Äquidistante Ratingskalen? Teil 2: Differenzierung der Ursachen bei Anpassungsproblemen. In: Krause, B. und Metzler, P. (Hrsg). ZeE- Publikationen, Reihe Empirische Evaluationsmethoden, Band 10. Berlin: ZeE
Krause, B. und Beyer, L. (2006). New Approaches in Modelling Cognitive Processes. In: Witruk, E. und Lander, H.J. (eds). Kognitionspsychologische Analysen von Gedächtnispro-zessen. Aachen:Shaker Verlag.
2005
Voelkle, M. C. (2005). The Missing Link "z" - Using Theory as a Guide to Reliability. In A. Beauducel, B. Biehl, M. Bosnjak, W. Conrad, G. Schönberger, & D. Wagener (Eds.), Multivariate research strategies. Aachen: Shaker Publishers.
Krause, B. (2005). Äquidistante Ratingskalen? Zugänge und Formen ihrer Prüfung. In: Krause, B. und Metzler, P. (Hrsg). ZeE- Publikationen, Reihe Empirische Evaluationsmethoden, Band 9. Berlin: ZeE
2004
Krause, B. (2004). Schwierigkeit beim logischen Denken. In: Krause. B. und Krause, W. (Hrsg). Psychologie im Kontext der Naturwissenschaften. Beiträge zur menschlichen Informationsverarbeitung ? Festschrift für Friedhart Klix zum 75. Geburtstag. Ehrenkolloquium der Leibniz-Sozietät im November 2002 in Berlin. Abhandlungen der Leibniz-Sozietät. Trafo- Verlag.
Krause, B. (2004). Nutzung formaler Modelle in der Psychologie. Als Mathematiker in der psychologischen Forschung. In: Sitzungsberichte der Leibniz- Sozietät, Band 68. Berlin: Trafo- Verlag.
Krause. B. und Krause, W. (Hrsg) (2004). Psychologie im Kontext der Naturwissenschaften. Beiträge zur menschlichen Informationsverarbeitung ? Festschrift für Friedhart Klix zum 75. Geburtstag. Abhandlungen der Leibniz-Sozietät. Trafo- Verlag.
2003
Krause, B. (2003). Methodische Grundlagen zur Evaluation verkehrspsychologischer Rehabilitation. In: Krause, B. und Metzler, P. (Hrsg). ZeE- Publikationen, Reihe ?Empirische Evaluationsmethoden?, Band 6. Berlin: ZeE.
Krause, B. (2003). Hermann Ebbinghaus auch ein Begründer der empirischen Evaluationsforschung? In: Krause, B. (Hrsg). ZeE- Publikationen, Reihe ?Wissenschaftliche Veranstaltungen? Band 2. Berlin: ZeE.
Krause, B. (2003). Erkennen diskreter Merkmalsstrukturen. Ein Beitrag zur Untersuchung und Modellierung menschlicher Lernprozesse. In: Sitzungsberichte der Leibniz- Sozietät. Berlin: Trafo- Verlag.