“+” equal contribution
Schad, D.J. (2020). Dissociating neural learning signals in human sign- and goal-trackers. Talk presented at the Transcontinental Computational Psychiatry Workgroup.
Schad, D.J. & Huys, Q.J.M. (2019). Pavlovian sign- and goal-tracking in humans reflects model-free and model-based learning. Nature Research Behavioural & Social Sciences Community, Behind the paper
Nicenboim, B., Schad, D.J. & Vasishth, S. (under revision). An introduction to Bayesian data analysis for cognitive science. CRC Press. https://vasishth.github.io/bayescogsci/book/
Vasishth, S., Schad, D.J., Bürki, A., & Kliegl, R. (in prep). Linear mixed models for linguistics and psychology: A comprehensive introduction. CRC Press. https://vasishth.github.io/Freq_CogSci/
Rabe, M., Kliegl, R. & Schad, D.J. (2020). designr: Balanced factorial designs. R package version 0.1.12, https://cran.r-project.org/web/packages/designr/index.html
Rabe, M., Hohenstein, S., Vasishth, S., Kliegl, R. & Schad, D.J. (2020). hypr - Hypothesis matrix translation in R. R package version 0.2.2, https://cran.r-project.org/web/packages/hypr/index.html
Schad, D.J., & Vasishth, S. (2024). Null hypothesis Bayes factor estimates can be biased in (some) common factorial designs: A simulation study. arXiv preprint arXiv:2406.08022
Schad, D.J., Nuthmann, A., Rösler, F., & Engbert, R. (in press). Mental effort during mindless reading? Pupil fluctuations indicate internal processing during levels of inattention. Journal of Experimental Psychology - Learning, Memory & Cognition, PsyArXiv preprint https://osf.io/preprints/psyarxiv/w7s64
Liu, S., Zhao, M., Li, R., Huang, C., Du, J., Schad, D.J., & Heinzel, S. (2024). A wandering mind reflects a lonely mind: A cross-cultural study. Current Research in Behavioral Sciences, 100153, doi: 10.1016/j.crbeha.2024.100153
Xu, L.X., Zhang, J. L., Geng, X.M., Song, K.R., Zeng, P.P., Potenza, M.N., Schad, D.J. & Zhang, J. T. (2024). Pavlovian-to-instrumental transfer and outcome-devaluation effects in individuals with gaming experience. Computers in Human Behavior, 155, 108188, doi: 10.1016/j.chb.2024.108188
Liu, S., Li, R., Wegner, L., Huang, C., Haucke, M.N., Schad, D.J., … & Heinzel, S. (2024). High-mind wandering correlates with high risk for problematic alcohol use in China and Germany. European Archives of Psychiatry and Clinical Neuroscience, 274(2), 335-341, doi: 10.1007/s00406-023-01555-4
Schad, D.J., Nicenboim, B., & Vasishth, S. (2024). Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian ANOVA. Psychological Methods, Advance online publication. https://doi.org/10.1037/met0000621, arXiv preprint 2203.02361
Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C. T., Allen, C., , …, Schad, D.J., … & Schulz, E. (2023). How should the advent of large language models affect the practice of science?. arXiv preprint 2312.03759
Kappes, C., Marion-Jetten, A.S., Taylor, G., Schad, D.J., Dreßler, B., El-Hayek, S., … & Stach, P. (2023). The role of mindfulness and autonomous motivation for goal progress and goal adjustment: an intervention study. Motivation and Emotion, 1-19, doi: 10.1007/s11031-023-10033-2
van Doorn, J., …, Schad, D.J., …, Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain & Behavior, doi: 10.1007/s42113-022-00160-3
Liu, S., Rabovsky, M., & Schad, D.J. (2023). Spontaneous mind wandering impairs model-based decision making. Plos One, 18(1), e0279532, doi: 10.1371/journal.pone.0279532
Schad, D.J. & Rabovsky, M. (2022). Social-distancing induced deceleration can enhance subjective well-being. Applied Psychology: Health and Well-being, doi: 10.1111/aphw.12414
Bağcıa, B., Düsmezb, S., Zorlua, N., Bahtiyarc, G., Isıklıa, S., Bayrakcıa, A., Heinz, A., Schad, D.J., Sebold, M. (2022). Computational analysis of probabilistic reversal learning deficits in male subjects with alcohol use disorder. Frontiers in Psychiatry, doi: 10.3389/fpsyt.2022.960238
Schad, D.J. & Vasishth, S. (2022). The posterior probability of a null hypothesis given a statistically significant result. The Quantitative Methods for Psychology, doi: 10.20982/tqmp.18.2.p011, Shiny app: https://danielschad.shinyapps.io/probnull
Schad, D.J., Nicenboim, B., Bürkner, P.-C., Betancouort, M., & Vasishth, S. (2022). Workflow techniques for the robust use of Bayes factors. Psychological Methods, doi: 10.1037/met0000472, arXiv preprint: arXiv:2103.08744
Vasishth, S., Yadav, H., Schad, D.J., & Nicenboim, B. (2022). Sample size determination for Bayesian hierarchical models commonly used in psycholinguistics. Computational Brain and Behavior, doi: 10.1007/s42113-021-00125-y, PsyArXiv preprint: PsyArXiv:u8yvc
Magrabi, A., Beck, A., Schad, D.J., Lett, T.A., Stoppel, C.M., Charlet, K., Kiefer, F., Heinz, A., & Walter, H. (2022). Alcohol dependence decreases functional activation of the caudate nucleus during model‐based decision processes. Alcoholism: Clinical and Experimental Research, doi: 10.1111/acer.14812
Schad, D.J., Betancourt, M. & Vasishth, S. (2021). Towards a principled Bayesian workflow for cognitive science. Psychological Methods, 26(1), 103-126, doi: 10.1037/met0000275, arXiv preprint: arXiv:1904.12765v1
Stone, K., Verissimo, J, Schad, D.J., Oltrogge, E., Vasishth, S. & Lago, S. (2021). The interaction of grammatically distinct agreement dependencies in predictive processing. Language, Cognition and Neuroscience, 36(9), 1159-1179, doi: 10.1080/23273798.2021.1921816
Rabovsky, M., Schad, D.J., & Abdel Rahman, R. (2021). Object naming is facilitated by semantic richness but inhibited by semantic density: Electrophysiological and behavioral evidence. Journal of Experimental Psychology: Learning, Memory, and Cognition, 146, 240-244, doi: 10.1016/j.cognition.2015.09.016, bioRxiv preprint: 10.1101/509000
Chen, H., Nebe, S., Mojtahedzadeh, N., Kuitunen-Paul, S., Garbusow, M., Schad, D. J., … & Smolka, M. N. (2021). Susceptibility to interference between Pavlovian and instrumental control is associated with early hazardous alcohol use. Addiction Biology, 26(4), e12983, doi: 10.1111/adb.12983
Schad, D.J., Rapp, M.A., Garbusow, M., Nebe, S., Sebold, M., Obst, E., …, Heinz, A., Dayan, P., & Huys, Q.J.M. (2020). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behavior, 4, 201-214, doi: 10.1038/s41562-019-0765-5, url: https://rdcu.be/b1RGX
Schad, D.J., Hohenstein, S., Vasishth, S., & Kliegl, R. (2020). How to capitalize on a priori contrasts in linear (mixed) models: A tutorial. Journal of Memory and Language, 110, 104038, doi: 10.1016/j.jml.2019.104038, arXiv preprint arXiv:1807.10451
Rabe, M.M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D.J. (2020). hypr: An R package for hypothesis-driven contrast coding. The Journal of Open Source Software, 2134. doi: 10.21105/joss.02134, PsyArXiv preprint
Stone, K., Lago, S. & Schad, D.J. (2020). Divergence point analyses of visual world data: applications to bilingual research. Bilingualism: Language and Cognition, 24(5), 1-9, doi: 10.1017/S1366728920000607
Sommer, C., Birkenstock, J., Garbusow, M., Obst, E., Schad, D. J., Bernhardt, N., … & Zimmermann, U. (2020). Dysfunctional approach behavior triggered by alcohol‐unrelated Pavlovian cues predicts long‐term relapse in alcohol dependence. Addiction Biology, 25(1), e12703, doi: 10.1111/adb.12703
Schad, D.J.+, Garbusow, M.+, Friedel, E., Sommer, C., Sebold, M., Hägele, C., …, Schlagenhauf, F., Huys, Q.J.M., Heinz, A., Rapp, M.A. (2019). Neural correlates of instrumental responding in the context of alcohol-related cues index disorder severity and relapse risk. European Archives of Psychiatry and Clinical Neuroscience, 269(3), 295-308, doi: 10.1007/s00406-017-0860-4
Liu, S., Kaufmann, C., Labadie, C., Ströhle, A., Kuschpel, M.S., Garbusow, M., Hummel, R., Schad, D.J., Rapp, M.A., Heinz, A., & Heinzel, S. (2019). Short-term effects of video gaming on brain response during working memory performance. PLoS One, 14(10), e0223666, doi: 10.1371/journal.pone.0223666.
Garbusow, M., Nebe, S., Sommer, C., Kuitunen-Paul, S., Sebold, M., Schad, D. J., … & Heinz, A. (2019). Pavlovian-To-Instrumental transfer and alcohol consumption in young male social drinkers: behavioral, neural and polygenic correlates. Journal of Clinical Medicine, 8(8), 1188, doi: 10.3390/jcm8081188
Sebold, M., Garbusow, M., Jetzschmann, P., Schad, D.J., Nebe, S., Schlagenhauf, F., Heinz, A., Rapp, M. & Romanczuk-Seiferth, N. (2019). Reward and avoidance learning in the context of aversive environments and possible implications for depressive symptoms. Psychopharmacology, 236(8), 2437-2449, doi: 10.1007/s00213-019-05299-9
Obst, E.+, Schad, D.J.+, Sommer, C., Nebe, S., Sebold, M., Smolka, M.N., Zimmermann, U.S. (2018). Drunk decisions: Alcohol administration shifts choice from habitual towards goal-directed control in adolescent intermediate-risk drinkers. Journal of Psychopharmacology, 32(8), 855-866, doi: 10.1177/0269881118772454
Nebe, S., Kroemer, N.B., Schad, D.J., Bernhardt, N., Sebold, M., Müller, D.K., …, Huys, Q.J.M., Smolka, M.N. (2018). No association of goal-directed and habitual control with alcohol consumption in young adults. Addiction Biology, 23(1), 379-393, doi: 10.1111/adb.12490
Liu, S., Kuschpel, M.S., Schad, D.J., Heinzel, S., Rapp, M. A., & Heinz, A. (2018). Effects of rest on learning processes. European Neuropsychopharmacology, 28, S70, doi: 10.1016/j.euroneuro.2017.12.099
Sebold, M., Nebe, S., Garbusow, M., Guggenmos, M., Schad, D.J., Beck, A., … & Zimmermann, U.S. (2017). When habits are dangerous: alcohol expectancies and habitual decision making predict relapse in alcohol dependence. Biological Psychiatry, 82(11), 847-856, doi: 10.1016/j.biopsych.2017.04.019
Sommer, C., Garbusow, M., Jünger, E., Pooseh, S., Bernhardt, N., Birkenstock, J., Schad, D.J., … & Zimmermann, U.S. (2017). Strong seduction: impulsivity and the impact of contextual cues on instrumental behavior in alcohol dependence. Translational Psychiatry, 7(8), e1183, doi: 10.1038/tp.2017.158
Sebold, M., Nebe, S., Garbusow, M., Schad, D.J., Sommer, C., Rapp, M., … & Heinz, A. (2017). Neurobiological correlates of learning and decision-making in alcohol dependence. European Psychiatry, 41, S11, doi: 10.1016/j.eurpsy.2017.01.084
Garbusow, M.+, Schad, D.J.+, Sebold, M., Friedel, E., Bernhardt, N., Koch, S.P., … & Heinz, A. (2016). Pavlovian‐to‐instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence. Addiction Biology, 21(3), 719-731, doi: 10.1111/adb.12243
Sebold, M., Schad D.J., Nebe, S., Garbusow, M., Jünger, E., Kroemer, N.B., Kathmann, N., Zimmermann, U.S., Smolka, M.N., Rapp, M.A., Heinz, A., Huys, Q.J.M. (2016). Don’t think, just feel the music: Individuals with strong Pavlovian-to-instrumental transfer effects rely less on model-based reinforcement learning. Journal of Cognitive Neuroscience, 28(7), 985-995, doi: 10.1162/jocn_a_00945
Rabovsky, M., Schad D.J., Rahman, R.A. (2016). Language production is facilitated by semantic richness but inhibited by semantic density: Evidence from picture naming. Cognition, 146, 240-244, roi: 10.1016/j.cognition.2015.09.016
Liu, S., Schad D.J., Kuschpel, M.S., Rapp, M.A., Heinz, A. (2016). Music and video gaming during breaks: Influence on habitual versus goal-directed decision making. PLoS ONE, 11(3), e0150165, doi: 10.1371/journal.pone.0150165
Fritsch, V., Da Mota, B., Loth, E., …, Schad D.J., …, Thirion, B., the IMAGEN consortium (2015). Robust regression for large-scale neuroimaging studies. NeuroImage, 111, 431-441, doi: 10.1016/j.neuroimage.2015.02.048
Sperlich, A, Schad D.J., Laubrock, J. (2015). When preview information starts to matter: development of the perceptual span in German beginning readers. Journal of Cognitive Psychology, 27(5), 511-530, doi: 10.1080/20445911.2014.99399
Kuschpel, M.S., Liu, S., Schad D.J., Heinzel, S., Heinz, A., Rapp, M.A. (2015). Differential effects of wakeful rest, music and video game playing on working memory performance in the n-back task. Frontiers in Psychology, 6, 1683, doi: 10.3389/fpsyg.2015.01683
Liu, S., Kuschpel, M.S., Schad D.J., Heinz, A., Rapp, M.A. (2015). Differential effects of music and video gaming during breaks on auditory and visual learning. Cyberpsychology, Behavior, and Social Networking, 18(11), 647-653, doi: 10.1089/cyber.2015.0140
Schad, D.J.+, Jünger, E.+, Garbusow, M., Sebold, M., Bernhardt, N., Javadi, A.H., Zimmermann, U.S., Smolka, M.N., Heinz, A., Rapp, M.A.+, & Huys, Q.J.M.+ (2014). Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning. Frontiers in Psychology, 5, 1450, doi: 10.3389/fpsyg.2014.01450
Garbusow M., Schad D.J., Sommer C., Jünger E., Sebold M., Friedel E., Wendt J., Kathmann N., Schlagenhauf F., Zimmerman U., Heinz A., Huys Q.J.M.+, Rapp M.A.+ (2014). Pavlovian-to-instrumental transfer in alcohol dependence - a pilot study. Neuropsychobiology, 70(2), 111-121, doi: 10.1159/000363507
Sebold M., Deserno L., Nebe S., Schad D.J., Garbusow M., Hägele C., Keller J., Jünger E., Kathmann N., Smolka M., Rapp M.A., Schlagenhauf F., Heinz A., Huys Q.J.M. (2014). Model-based and model-free decisions in alcohol dependence. Neuropsychobiology, 70(2), 122-131, doi: 10.1159/000362840
Schad, D.J., Risse, S., Slattery, T., Rayner, K. (2014). Word frequency in fast-priming: Evidence for immediate cognitive control of eye movements during reading. Visual Cognition, 22(3), 390-414, doi: 10.1080/13506285.2014.89204
Schad, D.J., Nuthmann, A., & Engbert, R. (2012). Your mind wanders weakly, your mind wanders deeply: Objective measures reveal mindless reading at different levels. Cognition, 125(2), 179-194, doi: 10.1016/j.cognition.2012.07.004
Schad, D.J., & Engbert, R. (2012). The zoom lens of attention: Simulating shuffled versus normal text reading using the SWIFT model. Visual Cognition, 20(4-5, Special Issue on Computational Approaches to Reading and Scene Perception), 391, doi: 10.1080/13506285.2012.670143
Schad, D.J., Nuthmann, A., & Engbert, R. (2010). Eye movements during reading of randomly shuffled text. Vision Research, 50(23), 2600-2616, doi: 10.1016/j.visres.2010.08.005
Inhoff, A., Seymour, B., Schad, D.J., & Greenberg, S. (2010). The size and direction of saccadic curvatures during reading. Vision Research, 50(12), 1117-1130, doi: 10.1016/j.visres.2010.03.025
Schultheiss, O.C., Yankova, D., Dirlikov, B., & Schad, D.J. (2009). Are implicit and explicit motive measures statistically independent? A fair and balanced test using the Picture Story Exercise and a cue- and response-matched questionnaire measure. Journal of Personality Assessment, 91, 72-81, doi: 10.1080/00223890802484456
Schultheiss, O.C., Liening, S., & Schad, D.J. (2008). The reliability of a Picture Story Exercise measure of implicit motives: Estimates of internal consistency, retest reliability, and ipsative stability. Journal of Research in Personality, 42, 1560-1571, doi: 10.1016/j.jrp.2008.07.008
Schad, D.J. (2012) Mindless Reading and Eye Movements: Theory, Experiments, and Computational Modeling. Ph.D. Thesis, University of Potsdam, Potsdam, Germany. URL: http://opus.kobv.de/ubp/volltexte/2014/7082/
Schad, D.J. (2007) How do implicit and explicit motives differ? The role of non-/verbal stimuli and non-/declarative tasks. Unpublished Diploma Thesis, University of Potsdam, Potsdam, Germany. URL: http://opus.kobv.de/ubp/volltexte/2014/7139/