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Original Article

Experience Matters

Effects of (In)Congruent Prompts About Word Frequency on Judgments of Learning

Published Online:https://doi.org/10.1027/2151-2604/a000423

Abstract. The present study tested if word frequency effects on judgments of learning (JOLs) are exclusively due to beliefs or if the direct experience with the items also plays a role. Across four experiments, participants read prompts about the frequency of the words (high/low), which could be congruent/incongruent with the words’ actual frequency. They made pre-study JOLs (except Experiment 1b), immediate JOLs, and completed a recall test. If experience drives the effect, JOLs should be based on actual word frequency rather than the prompts. Results showed higher pre-study JOLs for prompts of high frequency, but higher immediate JOLs for high-frequency words regardless of the prompt, suggesting an effect of direct experience with the words. In Experiments 2 and 3, we manipulated participants’ beliefs, finding a small effect of beliefs on JOLs. We conclude that, regarding word frequency, direct experience with the items seems more relevant than beliefs when making immediate JOLs.

References

  • Begg, I., Duft, S., Lalonde, P., Melnick, R., & Sanvito, J. (1989). Memory predictions are based on ease of processing. Journal of Memory and Language, 28(5), 610–632. https://doi.org/10.1016/0749-596X(89)90016-8 First citation in articleGoogle Scholar

  • Benjamin, A. S. (2003). Predicting and postdicting the effects of word frequency on memory. Memory & Cognition, 31(2), 297–305. https://doi.org/10.3758/BF03194388 First citation in articleGoogle Scholar

  • Bein, O., Livneh, N., Reggev, N., Gilead, M., Goshen-Gottstein, Y., & Maril, A. (2015). Delineating the effect of semantic congruency on episodic memory: The role of integration and relatedness. PLoS One, 10(2), e0115624. https://doi.org/10.1371/journal.pone.0115624 First citation in articleGoogle Scholar

  • 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, 24(9), 1417–1433. https://doi.org/10.1037/xlm0000246 First citation in articleGoogle Scholar

  • Blake, A. B., & Castel, A. D. (2018). On belief and fluency in the construction of judgments of learning: Assessing and altering the direct effects of belief. Acta Psychologica, 186, 27–38. https://doi.org/10.1016/j.actpsy.2018.04.004 First citation in articleCrossrefGoogle Scholar

  • Brysbaert, M., Mandera, P., & Keuleers, E. (2018). The word frequency effect in word processing: An updated review. Current Directions in Psychological Science, 27(1), 45–50. https://doi.org/10.1177/0963721417727521 First citation in articleCrossrefGoogle Scholar

  • Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191. https://doi.org/10.3758/BF03193146 First citation in articleCrossrefGoogle Scholar

  • Fiacconi, C. M., & Dollois, M. A. (2020). Does word frequency influence judgments of learning (JOLs)? A meta-analytic review. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale. Advance online publication. https://doi.org/10.1037/cep0000206 First citation in articleGoogle Scholar

  • 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(5), 680–693. https://doi.org/10.1037/xlm0000332 First citation in articleGoogle Scholar

  • Hourihan, K. L., Fraundorf, S. H., & Benjamin, A. S. (2017). The influences of valence and arousal on judgments of learning and on recall. Memory & Cognition, 45(1), 121–136. https://doi.org/10.3758/S13421-016-0646-3 First citation in articleGoogle Scholar

  • 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(11), e0142351. https://doi.org/10.1371/journal.pone.0142351 First citation in articleGoogle Scholar

  • Jia, X., Li, P., Li, X., Zhang, Y., Cao, W., Cao, L., & Li, W. (2016). The effect of word frequency on judgments of learning: Contributions of beliefs and processing fluency. Frontiers in Psychology, 6, Article 1995. https://doi.org/10.3389/fpsyg.2015.01995 First citation in articleGoogle Scholar

  • Koriat, A. (1997). Monitoring one’s own knowledge during study: A cue utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126(4), 349–370. https://doi.org/10.1037/0096-3445.126.4.349 First citation in articleGoogle Scholar

  • Koriat, A., Bjork, R. A., Sheffer, L., & Bar, S. K. (2004). Predicting one’s own forgetting: The role of experience-based and theory-based processes. Journal of Experimental Psychology: General, 133(4), 643–656. https://doi.org/10.1037/0096-3445.133.4.643 First citation in articleGoogle Scholar

  • Luna, K., Nogueira, M., & Albuquerque, P. B. (2019). Words in larger font are perceived as more important: Explaining the belief that font size affects memory. Memory, 27(4), 555–560. https://doi.org/10.1080/09658211.2018.1529797 First citation in articleGoogle Scholar

  • Mendes, P. S., Luna, K., & Albuquerque, P. B. (2019). Word frequency effects on judgments of learning: More than just beliefs. The Journal of General Psychology. Advance online publication. https://doi.org/10.1080/00221309.2019.1706073 First citation in articleGoogle Scholar

  • 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. https://doi.org/10.1016/j.jml.2013.09.007 First citation in articleCrossrefGoogle Scholar

  • Mueller, M., & Dunlosky, J. (2017). How beliefs can impact judgments of learning: Evaluating analytic processing theory with beliefs about fluency. Journal of Memory and Language, 93, 245–258. https://doi.org/10.1016/j.jml.2016.10.008 First citation in articleGoogle Scholar

  • Price, J., & Harrison, A. (2017). Examining what prestudy and immediate judgments of learning reveal about the bases of metamemory judgments. Journal of Memory and Language, 94, 177–194. https://doi.org/10.1016/j.jml.2016.12.003 First citation in articleGoogle Scholar

  • Rhodes, M. G. (2016). Judgments of learning: Methods, data, and theory. In J. DunloskyS. TauberEds., The Oxford handbook of metamemory (pp. 90–117). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199336746.013.4 First citation in articleGoogle Scholar

  • Rhodes, M. G., & Castel, A. D. (2008). Memory predictions are influenced by perceptual information: Evidence for metacognitive illusions. Journal of Experimental Psychology: General, 137(4), 615–625. https://doi.org/10.1037/a0013684 First citation in articleGoogle Scholar

  • Schilling, H. E., Rayner, K., & Chumbley, J. (1998). Comparing naming, lexical decision, and eye fixation times: Word frequency effects and individual differences. Memory & Cognition, 26(6), 1270–1281. https://doi.org/10.3758/BF03201199 First citation in articleGoogle Scholar

  • Schulman, A. I. (1974). Memory for words recently classified. Memory & Cognition, 2(1), 47–52. https://doi.org/10.3758/BF03197491 First citation in articleGoogle Scholar

  • Soares, A. P., Costa, A., Machado, J., Comesaña, M., & Oliveira, H. M. (2017). The Minho Word Pool: Norms for imageability, concreteness, and subjective frequency for 3,800 Portuguese words. Behavior Research Methods, 49(3), 1065–1081. https://doi.org/10.3758/s13428-016-0767-4 First citation in articleCrossrefGoogle Scholar

  • Soares, A. P., Iriarte, A., Almeida, J. J., Simões, A., Costa, A., França, P., Machado, J., & Comesaña, M. (2014). Procura-PALavras (P-PAL): Uma nova medida de frequência lexical do Português Europeu contemporâneo. Psicologia: Reflexão e Crítica, 27(1), 110–123. https://doi.org/10.1590/s0102-79722014000100013 First citation in articleGoogle Scholar

  • Soderstrom, N. C., Yue, C. L., & Bjork, E. L. (2016). Metamemory and education. In J. DunloskyS. TauberEds., The Oxford handbook of metamemory (pp. 197–215). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199336746.013.6 First citation in articleGoogle Scholar

  • Susser, J. A., & Mulligan, N. W. (2015). The effect of motoric fluency on metamemory. Psychonomic Bulletin & Review, 22(4), 1014–1019. https://doi.org/10.3758/s13423-014-0768-1 First citation in articleGoogle Scholar

  • Undorf, M., & Bröder, A. (2020). Cue integration in metamemory judgements is strategic. The Quarterly Journal of Experimental Psychology, 73(4), 629–642. https://doi.org/10.1177/1747021819882308 First citation in articleGoogle Scholar

  • Undorf, M., & Erdfelder, E. (2015). The relatedness effect on judgments of learning: A closer look at the contribution of processing fluency. Memory & Cognition, 43(4), 647–658. https://doi.org/10.3758/s13421-014-0479-x First citation in articleGoogle Scholar

  • Undorf, M., & Zimdahl, M. F. (2019). 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, 45(1), 97–109. https://doi.org/10.1037/xlm0000571 First citation in articleGoogle Scholar

  • Undorf, M., Zimdahl, M. F., & Bernstein, D. M. (2017). Perceptual fluency contributes to effects of stimulus size on judgments of learning. Journal of Memory and Language, 92, 293–304. https://doi.org/10.1016/j.jml.2016.07.003 First citation in articleCrossrefGoogle Scholar

  • Yang, C., Huang, T. S.-T., & Shanks, D. R. (2018). Perceptual fluency affects judgments of learning: The font size effect. Journal of Memory and Language, 99, 99–110. https://doi.org/10.1016/j.jml.2017.11.005 First citation in articleGoogle Scholar