References
- Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390–412. https://doi.org/10.1016/j.jml.2007.12.005
- Baayen, R. H., & Milin, P. (2010). Analyzing reaction times. International Journal of Psychological Research, 3(2), 12–28. https://doi.org/https://doi.org/10.21500/20112084.807
- Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278. https://doi.org/https://doi.org/10.1016/j.jml.2012.11.001
- Berlyne, D. E. (1973). Interrelations of verbal and nonverbal measures used in experimental aesthetics. Scandinavian Journal of Psychology, 14(1), 177–184. https://doi.org/https://doi.org/10.1111/j.1467-9450.1973.tb00107.x
- Berridge, K. C., & Kringelbach, M. L. (2015). Pleasure systems in the brain. Neuron, 86(3), 646–664. https://doi.org/https://doi.org/10.1016/j.neuron.2015.02.018
- Brewer, G. A. (2011). Analyzing response time distributions. Methodological and theoretical suggestions for prospective memory researchers. Zeitschrift für Psychologie, 219(2), 117–124. https://doi.org/https://doi.org/10.1027/2151-2604/a000056
- Brielmann, A. A., & Pelli, D. G. (2017). Beauty requires thought. Current Biology, 27(10), 1506–1513. https://doi.org/https://doi.org/10.1016/j.cub.2017.04.018
- Conway, A. R., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769–786. https://doi.org/https://doi.org/10.3758/BF03196772
- Cowan, N. (2017). The many faces of working memory and short-term storage. Psychonomic Bulletin & Review, 24(4), 1158–1170. https://doi.org/https://doi.org/10.3758/s13423-016-1191-6
- Engle, R. W. (2018). Working memory and executive attention: A revisit. Perspectives on Psychological Science, 13(2), 190–193. https://doi.org/https://doi.org/10.1177/1745691617720478
- Epstein, S. (1994). Integration of the cognitive and psychodynamic unconscious. American Psychologist, 49(8), 709–724. https://doi.org/https://doi.org/10.1037/0003-066X.49.8.709
- Friedman, N. P., & Miyake, A. (2005). Comparison of four scoring methods for the reading span test. Behavior Researching Methods, 37, 581–590. https://doi.org/10.3758/BF03192728
- Heathcote, A., Popiel, S. J., & Mewhort, D. J. K. (1991). Analysis of response time distributions: An example using the Stroop task. Psychological Bulletin, 109(2), 340–347. https://doi.org/https://doi.org/10.1037/0033-2909.109.2.340
- Ichikawa, S. (1983). Verbal memory span, visual memory span, and their correlations with cognitive tasks. Japanese Psychological Research, 25(4), 173–180. https://doi.org/https://doi.org/10.4992/psycholres1954.25.173
- Judd, C. M., Westfall, J., & Kenny, D. A. (2017). Experiments with more than one random factor: Designs, analytic models, and statistical power. Annual Review of Psychology, 68(1), 601–625. https://doi.org/https://doi.org/10.1146/annurev-psych-122414-033702
- Leder, H., Augustin, D., & Belke, B. (2005). Art and cognition! Consequences for experimental aesthetics. Bulletin of Psychology and the Arts, 5, 11–20.
- Lenth, R. (2018). emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.3.1. https://CRAN.R-project.org/package=emmeans
- Marin, M. M., Lampatz, A., Wandl, M., & Leder, H. (2016). Berlyne revisited: Evidence for the multifaceted nature of hedonic tone in the appreciation of paintings and music. Frontiers in Human Neuroscience, 10, 536. https://doi.org/https://doi.org/10.3389/fnhum.2016.00536
- Massidda, D. (2013). retimes: Reaction Time Analysis. R package version 0.1-2. https://CRAN.R-project.org/package=retimes
- Miyake, A., Friedman, N. P., Rettinger, D. A., Shah, P., & Hegarty, M. (2001). How are visuospatial working memory, executive functioning, and spatial abilities related? A latent-variable analysis. Journal of Experimental Psychology: General, 130(4), 621–640. https://doi.org/https://doi.org/10.1037/0096-3445.130.4.621
- Mullennix, J. W., Pilot, K. M., Steeves, T. A., & Burns, J. C. (2018). The effects of cognitive load on judgments of titled visual art. Psychology of Aesthetics, Creativity, and the Arts, 12(2), 166–176. https://doi.org/https://doi.org/10.1037/aca0000128
- Mullennix, J. W., Wagner, N., Hetrick, B., Malloy, N., Jerome, R., & Schminkey, M. (2015). Preference for visual art as a function of cognitive effort. North American Journal of Psychology, 17(3), 433–448.
- R Core Team. (2020). R: A language and environment for statistical computing. Version 4.0.2. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
- Russell, P. A., & George, D. A. (1990). Relationships between aesthetic response scales applied to paintings. Empirical Studies of the Arts, 8(1), 15–30. https://doi.org/https://doi.org/10.2190/AU1R-6UXE-T14R-04WQ
- Sherman, A., Grabowecky, M., & Suzuki, S. (2015). In the working memory of the beholder: Art appreciation is enhanced when visual complexity is compatible with working memory. Journal of Experimental Psychology: Human Perception and Performance, 41(4), 898–903. https://doi.org/https://doi.org/10.1037/a0039314
- Shipstead, Z., Harrison, T. L., & Engle, R. W. (2015). Working memory capacity and the scope and control of attention. Attention, Perception, & Psychophysics, 77(6), 1863–1880. https://doi.org/https://doi.org/10.3758/s13414-015-0899-0
- Singmann, H., Bolker, B., Westfall, J., & Aust, F. (2015). afex: Analysis of factorial experiments. R package version 0.13–145. https://CRAN.R-project.org/package=afex