Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning
Recent studies on judgments of learning (JOLs) suggest that beliefs play an important role in the formation of JOLs. The current article introduces a multilevel mediation model to quantify the contribution of beliefs to JOL formation when both JOLs and global belief-based predictions are measured fr...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2020-04-01
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Series: | Frontiers in Psychology |
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Online Access: | https://www.frontiersin.org/article/10.3389/fpsyg.2020.00637/full |
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author | Xiao Hu Jun Zheng Tian Fan Ningxin Su Chunliang Yang Liang Luo Liang Luo |
author_facet | Xiao Hu Jun Zheng Tian Fan Ningxin Su Chunliang Yang Liang Luo Liang Luo |
author_sort | Xiao Hu |
collection | DOAJ |
description | Recent studies on judgments of learning (JOLs) suggest that beliefs play an important role in the formation of JOLs. The current article introduces a multilevel mediation model to quantify the contribution of beliefs to JOL formation when both JOLs and global belief-based predictions are measured from the same group of participants. Our examples of fitting the multilevel mediation model to hypothetical and published datasets revealed that it is feasible to use the multilevel mediation model to examine the mediation effect of beliefs on the relationship between a cue and JOLs, and quantitatively compare the effects of beliefs and processing fluency on JOLs in one model. Then we compared the current multilevel mediation model and the multilevel moderation model implemented in previous studies, and discussed their similarities and differences. Finally, a data simulation was performed to explain the inflation of Type I error for the multilevel mediation model when we regress global belief-based predictions on the cue, and suggestions about appropriate steps for conducting multilevel mediation analysis are proposed. |
first_indexed | 2024-12-22T07:44:30Z |
format | Article |
id | doaj.art-f63f90e201f14db8a9f0b2c78777d553 |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-12-22T07:44:30Z |
publishDate | 2020-04-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-f63f90e201f14db8a9f0b2c78777d5532022-12-21T18:33:40ZengFrontiers Media S.A.Frontiers in Psychology1664-10782020-04-011110.3389/fpsyg.2020.00637522445Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of LearningXiao Hu0Jun Zheng1Tian Fan2Ningxin Su3Chunliang Yang4Liang Luo5Liang Luo6Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, ChinaCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, ChinaCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, ChinaCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, ChinaInstitute of Developmental Psychology, Beijing Normal University, Beijing, ChinaCollaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, ChinaInstitute of Developmental Psychology, Beijing Normal University, Beijing, ChinaRecent studies on judgments of learning (JOLs) suggest that beliefs play an important role in the formation of JOLs. The current article introduces a multilevel mediation model to quantify the contribution of beliefs to JOL formation when both JOLs and global belief-based predictions are measured from the same group of participants. Our examples of fitting the multilevel mediation model to hypothetical and published datasets revealed that it is feasible to use the multilevel mediation model to examine the mediation effect of beliefs on the relationship between a cue and JOLs, and quantitatively compare the effects of beliefs and processing fluency on JOLs in one model. Then we compared the current multilevel mediation model and the multilevel moderation model implemented in previous studies, and discussed their similarities and differences. Finally, a data simulation was performed to explain the inflation of Type I error for the multilevel mediation model when we regress global belief-based predictions on the cue, and suggestions about appropriate steps for conducting multilevel mediation analysis are proposed.https://www.frontiersin.org/article/10.3389/fpsyg.2020.00637/fullmetamemoryjudgments of learningbeliefsmultilevel linear modelmultilevel mediation model |
spellingShingle | Xiao Hu Jun Zheng Tian Fan Ningxin Su Chunliang Yang Liang Luo Liang Luo Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning Frontiers in Psychology metamemory judgments of learning beliefs multilevel linear model multilevel mediation model |
title | Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning |
title_full | Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning |
title_fullStr | Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning |
title_full_unstemmed | Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning |
title_short | Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning |
title_sort | using multilevel mediation model to measure the contribution of beliefs to judgments of learning |
topic | metamemory judgments of learning beliefs multilevel linear model multilevel mediation model |
url | https://www.frontiersin.org/article/10.3389/fpsyg.2020.00637/full |
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