Random item slope regression: Examining both similarities and differences in the association with individual items.

Donnellan, E., Usami, S., & Murayama, K. (2023). Random item slope regression: Examining both similarities and differences in the association with individual items. Psychological Methods.

Uncertainty drives exploration of negative information across younger and older adults

Yagi A., FitzGibbon L., Murayama, K., Shinomori K., & Sakaki M. (2023). Uncertainty drives exploration of negative information across younger and older adults. Cognitive, Affective, and Behavioral Neuroscience.

Longitudinal association between maternal autonomy support and controlling parenting and adolescents’ depressive symptoms.

Tanaka, A., Tamura, A., Ishii, R., Ishikawa, S., Nakazato, N., Ohtani, K., Sakaki, M., Suzuki, T., & Murayama, K. (2023). Longitudinal association between maternal autonomy support and controlling parenting and adolescents’ depressive symptoms. Journal of Youth and Adolescence. 1–16. Advance online publication.

People underestimate their capability to motivate themselves without performance-based extrinsic incentives.

Kuratomi, K., Johnsen, L., Kitagami, S., Hatano, A., & Murayama, K. (2022). People underestimate their capability to motivate themselves without performance-based extrinsic incentives. Motivation & Emotion.

Mastery-approach goals: A large-scale cross-cultural analysis of antecedents and consequences.

Guo, J., Hu, X., Elliot, A. J., Marsh, H. W., Murayama, K., Basarkod, G., Parker, P. D., & Dicke, T. (2022). Mastery-approach goals: A large-scale cross-cultural analysis of antecedents and consequences. Journal of Personality and Social Psychology.

Counterfactual curiosity: Motivated thinking about what might have been.

Fitzgibbon, L., & Murayama, K. (2022). Counterfactual curiosity: Motivated thinking about what might have been. Philosophical Transactions of the Royal Society B: Biological Sciences, 377(1866), 20210340.

Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.

Murayama, K., Usami, S., & Sakaki, M. (2022). Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling. Psychological Methods.