References
- lban, M. W., & Kelley, C. M. (2013). Embodiment meets metamemory: Weight as a cue for metacognitive judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 1628–1634.
- Besken, M. (2016). Picture-perfect is not perfect for metamemory: Testing the perceptual fluency hypothesis with degraded images. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42, 1417–1433.
- Buratti, S., & Allwood, C. M. (2012). The accuracy of meta-metacognitive judgments: Regulating the realism of confidence. Cognitive Processing, 13, 243–253. doi: 10.1007/s10339-012-0440-5
- Castel, A. D., Farb, N. A. S., & Craik, F. I. M. (2007). Memory for general and specific value information in younger and older adults: Measuring the limits of strategic control. Memory & Cognition, 35, 689–700. doi: 10.3758/BF03193307
- Cohen, M. S., Friedman, M. C., Soderstrom, N. C., Castel, A. D., & Bjork, R. A. (n.d.). Dissociations between learners’ predicted and actual effects of level of processing and assigned point value on subsequent memory performance (Unpublished manuscript). Retrieved from http://reberlab.psych.northwestern.edu/wp-content/uploads/2015/06/VLOP_revision_123014_final.pdf
- Cohen, M. S., Rissman, J., Hovhannisyan, M., Castel, A. D., & Knowlton, B. J. (2017). Free recall test experience potentiates strategy-driven effects of value on memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43, 1581–1601.
- Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. New York, NY: Routledge.
- DeLozier, S., & Rhodes, M. (2015). The impact of value-directed remembering on the own-race bias. Acta Psychologica, 154, 62–68. doi: 10.1016/j.actpsy.2014.11.009
- Dunlosky, J., Serra, M. J., Matvey, G., & Rawson, K. A. (2005). Second-order judgments about judgments of learning. The Journal of General Psychology, 132, 335–346. doi: 10.3200/GENP.132.4.335-346
- Frank, D. J., & Kuhlmann, B. G. (2017). More than just beliefs: Experience and beliefs jointly contribute to volume effects on metacognitive judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43, 680–693.
- Halamish, V. (2018). Can very small size enhance memory? Memory & Cognition, 46, 979–993. doi: 10.3758/s13421-018-0816-6
- Hu, X., Li, T., Zheng, J., Su, N., Liu, Z., & Luo, L. (2015). How much do metamemory beliefs contribute to the font-size effect in judgments of learning? PLOS One, 10, e0142351. doi: 10.1371/journal.pone.0142351
- Kassam, K. S., Gilbert, D. T., Swencionis, J. K., & Wilson, T. D. (2009). Misconceptions of memory: The Scooter Libby effect. Psychological Science, 20, 551–552. doi: 10.1111/j.1467-9280.2009.02334.x
- Koriat, A. (1997). Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126, 349–370. doi: 10.1037/0096-3445.126.4.349
- Kornell, N., Rhodes, M. G., Castel, A. D., & Tauber, S. K. (2011). The ease-of-processing heuristic and the stability bias: Dissociating memory, memory beliefs, and memory judgments. Psychological Science, 22, 787–794. doi: 10.1177/0956797611407929
- Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49, 764–766. doi: 10.1016/j.jesp.2013.03.013
- Li, P., Jia, X., Li, X., & Li, W. (2016). The effect of animacy on metamemory. Memory & Cognition, 44, 696–705. doi: 10.3758/s13421-016-0598-7
- Li, F., Xie, R., Li, X., & Li, W. (2015). The influence of perceptual information on control processes involved in self-regulated learning: Evidence from item selection. Psychonomic Bulletin & Review, 22, 1007–1013. doi: 10.3758/s13423-014-0762-7
- LiveCode (Version 7.1.3) [Computer software]. Edinburgh: LiveCode. Retrieved from https://livecode.com
- Luna, K., Martín-Luengo, B., & Albuquerque, P. B. (2018). Do delayed judgments of learning reduce metamemory illusions? A meta-analysis. Quarterly Journal of Experimental Psychology, 71, 1626–1636. doi: 10.1080/17470218.2017.1343362
- Mueller, M. L., Dunlosky, J., & Tauber, S. K. (2016). The effect of identical word pairs on people’s metamemory judgments: What are the contributions of processing fluency and beliefs about memory? Quarterly Journal of Experimental Psychology, 69, 781–799. doi: 10.1080/17470218.2015.1058404
- Mueller, M. L., Dunlosky, J., Tauber, S. K., & Rhodes, M. G. (2014). The font-size effect on judgments of learning: Does it exemplify fluency effects or reflect people’s beliefs about memory? Journal of Memory and Language, 70, 1–12. doi: 10.1016/j.jml.2013.09.007
- R Core Team. (2015). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing . Retrieved from http://www.R-project.org
- Rhodes, M. G., & Castel, A. D. (2008). Memory predictions are influenced by perceptual information: Evidence for metacognitive illusions. Journal of Experimental Psychology: General, 137, 615–625. doi: 10.1037/a0013684
- Rhodes, M. G., Witherby, A. E., Castel, A. D., & Murayama, K. (2017). Explaining the forgetting bias effect on value judgments: The influence of memory for a past test. Memory & Cognition, 45, 362–374. doi: 10.3758/s13421-016-0674-z
- Serra, M. J., Dunlosky, J., & Hertzog, C. (2008). Do older adults show less confidence in their monitoring of learning? Experimental Aging Research, 34, 379–391. doi: 10.1080/03610730802271898
- Soares, A. P., Iriarte, A., Almeida, J. J., Simões, A., Costa, A., França, P., … Comesaña, M. (2014). Procura-PALavras (P-PAL): Uma nova medida de frequência lexical do português europeu contemporâneo. Psicologia: Reflexão e Crítica, 27, 110–123. Retrieved from http://p-pal.di.uminho.pt
- Soderstrom, N. C., & McCabe, D. P. (2011). The interplay between value and relatedness as bases for metacognitive monitoring and control: Evidence for agenda-based monitoring. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 1236–1242.
- Undorf, M., & Ackerman, R. (2017). The puzzle of study time allocation for the most challenging items. Psychonomic Bulletin & Review, 24, 2003–2011. doi: 10.3758/s13423-017-1261-4
- Undorf, M., & Erdfelder, E. (2011). Judgments of learning reflect encoding fluency: Conclusive evidence for the ease-of-processing hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 1264–1269.
- Undorf, M., & Erdfelder, E. (2015). The relatedness effect on judgments of learning: A closer look at the contribution of processing fluency. Memory & Cognition, 43, 647–658. doi: 10.3758/s13421-014-0479-x
- Undorf, M., & Zimdahl, M. F. (in press). Metamemory and memory for a wide range of font sizes: What is the contribution of perceptual fluency? Journal of Experimental Psychology: Learning, Memory, and Cognition.
- Vuorre, M. (2017). bmlm: Bayesian multilevel mediation. R package version 1.3.4. Retrieved from https://cran.r-project.org/package=bmlm
- Witherby, A. E., & Tauber, S. K. (2017). The concreteness effect on judgments of learning: Evaluating the contributions of fluency and beliefs. Memory & Cognition, 45, 639–650. doi: 10.3758/s13421-016-0681-0
- Yan, V. X., Bjork, E. L., & Bjork, R. A. (2016). On the difficulty of mending metacognitive illusions: A priori theories, fluency effects, and misattributions of the interleaving benefit.. Journal of Experimental Psychology: General, 145, 918–933. doi: 10.1037/xge0000177
- Yang, C., Huang, S. T., & Shanks, D. R. (2018). Perceptual fluency affects judgments of learning: The font size effect. Journal of Memory and Language, 99, 99–110. doi: 10.1016/j.jml.2017.11.005