Publikationen von Florian Schmiedek

Schmiedek, F., Lövdén, M., Ratcliff, R., & Lindenberger, U. (2023). Practice-related changes in perceptual evidence accumulation correlate with changes in working memory. Journal of Experimental Psychology: General, 152(3), 763–779. https://doi.org/10.1037/xge0001290

Potter, S., Gerstorf, D., Schmiedek, F., Drewelies, J., Wolff, J. K., & Brose, A. (2022). Health sensitivity in the daily lives of younger and older adults: Correlates and longer-term change in health. Aging & Mental Health, 26(6), 1261–1269. https://doi.org/10.1080/13607863.2021.1913475

Schmiedek, F., Kroehne, U., Goldhammer, F., Prindle, J. J., Lindenberger, U., Klinger-König, J., Grabe, H. J., Riedel-Heller, S. G., Pabst, A., Streit, F., Zillich, L., Kleineidam, L., Wagner, M., Rietschel, M., Rujescu, D., Schmidt, B., Nako Investigators, & Berger, K. (2022). General cognitive ability assessment in the German National Cohort (NAKO): The block-adaptive number series task. The World Journal of Biological Psychiatry. Advance online publication. https://doi.org/10.1080/15622975.2021.2011407

Youn, C., Grotzinger, A. D., Lill, C. M., Bertram, L., Schmiedek, F., Lövdén, M., Lindenberger, U., Nivard, M., Harden, K. P., & Tucker-Drob, E. M. (2022). Genetic associations with learning over 100 days of practice. npj Science of Learning, 7, Article 7. https://doi.org/10.1038/s41539-022-00121-2

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

Grandy, T. H., Lindenberger, U., & Schmiedek, F. (2020). Vampires and nurses are rated differently by younger and older adults: Age-comparative norms of imageability and emotionality for about 2500 German nouns. Behavior Research Methods, 52, 980–989. https://doi.org/10.3758/s13428-019-01294-2

Schmiedek, F., Lövdén, M., von Oertzen, T., & Lindenberger, U. (2020). Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilities. PeerJ, 8, Article e9290. https://doi.org/10.7717/peerj.9290

von Oertzen, T., Schmiedek, F., & Voelkle, M. C. (2020). Ergodic subspace analysis. Journal of Intelligence, 8(1), Article 3. https://doi.org/10.3390/jintelligence8010003

Ghisletta, P., Joly-Burra, E., Aichele, S., Lindenberger, U., & Schmiedek, F. (2018). Age differences in day-to-day speed-accuracy tradeoffs: Results from the COGITO study. Multivariate Behavioral Research, 53(6), 842–852. https://doi.org/10.1080/00273171.2018.1463194

Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO Study. Multivariate Behavioral Research, 53(6), 820–841. https://doi.org/10.1080/00273171.2018.1446819