Literature DB >> 26059683

The effect of identical word pairs on people's metamemory judgments: What are the contributions of processing fluency and beliefs about memory?

Michael L Mueller1, John Dunlosky1, Sarah K Tauber2.   

Abstract

Judgments of learning (JOLs) are higher for identical pairs (dog-dog) than for related pairs (dog-cat). This identical effect may be mediated (a) by processing fluency (i.e., identical pairs are processed faster than related pairs) or (b) by a belief that identical pairs are better remembered or (c) by both factors. In the present work, we assessed the contribution of both factors. We evaluated whether a measure of processing fluency (i.e., self-paced study) mediated the relationship between pair type and JOLs (Experiment 1) and attempted to disrupt processing fluency using an AlTeRnAtInG presentation format (Experiment 2). We also evaluated whether judgments made in the absence of processing fluency demonstrated the identical effect (Experiment 3), and, finally, we had participants read a vignette about an experiment that included both pair types and estimate which pairs would be best remembered (Experiment 4). Evidence from all experiments converged on the conclusion that people's beliefs about how variables affect memory--and not differential fluency--best explain the identical effect, although we cannot entirely rule out the possibility that fluency plays a small role. The outcomes were consistent with the analytic-processing theory of JOLs--namely, when instructed to make JOLs, people adopt an analytic problem-solving approach that involves identifying variation across pairs that plausibly relate to memory and then use this variation to make JOLs.

Entities:  

Keywords:  Beliefs; Judgments of learning; Metamemory; Processing fluency

Mesh:

Year:  2015        PMID: 26059683     DOI: 10.1080/17470218.2015.1058404

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  10 in total

1.  Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning.

Authors:  Xiao Hu; Jun Zheng; Tian Fan; Ningxin Su; Chunliang Yang; Liang Luo
Journal:  Front Psychol       Date:  2020-04-15

2.  The concreteness effect on judgments of learning: Evaluating the contributions of fluency and beliefs.

Authors:  Amber E Witherby; Sarah K Tauber
Journal:  Mem Cognit       Date:  2017-05

3.  The anchoring effect in metamemory monitoring.

Authors:  Chunliang Yang; Bukuan Sun; David R Shanks
Journal:  Mem Cognit       Date:  2018-04

4.  Beliefs about memory decline in aging do not impact judgments of learning (JOLs): A challenge for belief-based explanations of JOLs.

Authors:  Sarah K Tauber; Amber E Witherby; John Dunlosky
Journal:  Mem Cognit       Date:  2019-08

5.  Intuition and metacognition: The effect of semantic coherence on judgments of learning.

Authors:  Monika Undorf; Thea Zander
Journal:  Psychon Bull Rev       Date:  2017-08

6.  The effect of animacy on metamemory.

Authors:  Ping Li; Xiaoyu Jia; Xinyu Li; Weijian Li
Journal:  Mem Cognit       Date:  2016-07

7.  A Bayesian inference model for metamemory.

Authors:  Xiao Hu; Jun Zheng; Ningxin Su; Tian Fan; Chunliang Yang; Yue Yin; Stephen M Fleming; Liang Luo
Journal:  Psychol Rev       Date:  2021-05-27       Impact factor: 8.247

8.  How font size affects judgments of learning: Simultaneous mediating effect of item-specific beliefs about fluency and moderating effect of beliefs about font size and memory.

Authors:  Ningxin Su; Tongtong Li; Jun Zheng; Xiao Hu; Tian Fan; Liang Luo
Journal:  PLoS One       Date:  2018-07-20       Impact factor: 3.240

9.  The Effect of Word Frequency on Judgments of Learning: Contributions of Beliefs and Processing Fluency.

Authors:  Xiaoyu Jia; Ping Li; Xinyu Li; Yuchi Zhang; Wei Cao; Liren Cao; Weijian Li
Journal:  Front Psychol       Date:  2016-01-06

10.  How Much Do Metamemory Beliefs Contribute to the Font-Size Effect in Judgments of Learning?

Authors:  Xiao Hu; Tongtong Li; Jun Zheng; Ningxin Su; Zhaomin Liu; Liang Luo
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

  10 in total

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