Individual differences in information demand have a low dimensional structure predicted by some curiosity personality traits

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Jach, H. K., Cools, R., Frisvold, A., Grubb, M., Hartley, C. A., Hartman, J., Hunter, L., Jia, R., De Lange, F. P., Larisch, R., Lavelle-Hill, R. E., Levy, I., Li, Y., Van Lieshout, L., Nussenbaum, K., Ravaioli, S., Wang, S., Wilson, R., Woodford, M., Murayama, K., & Gottlieb, J. (2024). Individual differences in information demand have a low dimensional structure predicted by some curiosity personality traits. Proceedings of the National Academy of Sciences.

Social contagion of challenge-seeking behaviour.

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Ogulmus, C., Lee, Y., Chakrabarti, B., & Murayama, K. (2024). Social contagion of challenge-seeking behaviour. Journal of Experimental Psychology: General.

The magic, memory, and curiosity fMRI dataset of people viewing magic tricks.

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Meliss, S., Pascua, C., Skipper, J. I., & Murayama, K. (2024). The magic, memory, and curiosity fMRI dataset of people viewing magic tricks. Scientific Data.

How the predictors of math achievement change over time: A longitudinal machine learning approach.

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Lavelle-Hill, R. E., Frenzel, A. C., Goetz, T., Lichtenfeld, S., Marsh, H., Pekrun, R., Sakaki, M., Smith, G., & Murayama, K. (2024). How the predictors of math achievement change over time: A longitudinal machine learning approach. Journal of Educational Psychology

Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for model choice from causal inference perspective.

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Murayama, K., & Gfrörer, T. (2023). Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for model choice from causal inference perspective. Psychological Methods.