all in press preprint 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007
Kim, S., Hakun, J., Li, Y., Harrington, K. D., Elbich, D. B., Sliwinski, M., Vandekerckhove, J., & Oravecz, Z. (preprint). Optimizing the Color Shapes task for ambulatory assessment and computational cognitive feature extraction via drift diffusion modeling. JMIR Preprints, 2024, 66300.
Boag, R. J., Innes, R., Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S., Logan, G. D., Matzke, D., Miletic, S., Osth, A. F., Palmeri, T., Sederberg, P. B., Singmann, H., Smith, P. L., Stafford, T., Steyvers, M., Strickland, L. J., Trueblood, J., Tsetsos, K., Turner, B. M., Usher, M., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Voss, A., Weichart, E. R., Weindel, G., White, C., Evans, N. J., Brown, S., & Forstmann, B. (preprint). An expert guide to planning experimental tasks for evidence accumulation modelling. PsyArXiv.
Oravecz, Z., Sliwinski, M., Kim, S., Williams, L., Katz, M., & Vandekerckhove, J. (preprint). Partially observable predictor models for identifying cognitive markers. PsyArXiv.
Chávez De la Peña, A. F., & Vandekerckhove, J. (preprint). An EZ Bayesian hierarchical drift diffusion model for response time and accuracy. PsyArXiv.
Rouder, J., Chávez De la Peña, A. F., Mehrvarz, M., & Vandekerckhove, J. (preprint). On Cronbach’s merger: Why experiments may not be suitable for measuring individual differences. PsyArXiv.
Wagenmakers, E., Gronau, Q., & Vandekerckhove, J. (preprint). Five Bayesian intuitions for the Stopping Rule Principle. PsyArXiv.
Heshmati, S., Muth, C., Li, Y., Roeser, R. W., Smyth, J. M., Vandekerckhove, J., Chow, S., & Oravecz, Z. (preprint). Capturing the heterogeneous effects of a mobile-health psychological well-being intervention for early adults: results from a process-oriented approach. PsyArXiv.
all ip pp '24 '23 '22 '21 '20 '19 '18 '17 '16 '15 '14 '13 '12 '11 '10 '09 '08 '07
Kim, S., Hakun, J., Li, Y., Harrington, K. D., Elbich, D. B., Sliwinski, M., Vandekerckhove, J., & Oravecz, Z. (preprint). Optimizing the Color Shapes task for ambulatory assessment and computational cognitive feature extraction via drift diffusion modeling. JMIR Preprints, 2024, 66300.
Boag, R. J., Innes, R., Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S., Logan, G. D., Matzke, D., Miletic, S., Osth, A. F., Palmeri, T., Sederberg, P. B., Singmann, H., Smith, P. L., Stafford, T., Steyvers, M., Strickland, L. J., Trueblood, J., Tsetsos, K., Turner, B. M., Usher, M., van Maanen, L., van Ravenzwaaij, D., Vandekerckhove, J., Voss, A., Weichart, E. R., Weindel, G., White, C., Evans, N. J., Brown, S., & Forstmann, B. (preprint). An expert guide to planning experimental tasks for evidence accumulation modelling. PsyArXiv.
Oravecz, Z., Sliwinski, M., Kim, S., Williams, L., Katz, M., & Vandekerckhove, J. (preprint). Partially observable predictor models for identifying cognitive markers. PsyArXiv.
Chávez De la Peña, A. F., & Vandekerckhove, J. (preprint). An EZ Bayesian hierarchical drift diffusion model for response time and accuracy. PsyArXiv.
Rouder, J., Chávez De la Peña, A. F., Mehrvarz, M., & Vandekerckhove, J. (preprint). On Cronbach’s merger: Why experiments may not be suitable for measuring individual differences. PsyArXiv.
Wagenmakers, E., Gronau, Q., & Vandekerckhove, J. (preprint). Five Bayesian intuitions for the Stopping Rule Principle. PsyArXiv.
Heshmati, S., Muth, C., Li, Y., Roeser, R. W., Smyth, J. M., Vandekerckhove, J., Chow, S., & Oravecz, Z. (preprint). Capturing the heterogeneous effects of a mobile-health psychological well-being intervention for early adults: results from a process-oriented approach. PsyArXiv.