2018
DOI: 10.1007/s11251-018-9452-6
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The double curse of misconceptions: misconceptions impair not only text comprehension but also metacomprehension in the domain of statistics

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Cited by 26 publications
(40 citation statements)
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References 44 publications
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“…To measure students' monitoring accuracy, we asked them to make prospective judgments about their expected performance on the posttest (i.e., text-based and inference questions combined) to investigate their monitoring accuracy by rating the following item: "How confident are you that you can answer questions to the text correctly?" [62,63]. Monitoring accuracy is commonly measured by the correspondence between students' judgements of their own current understanding and their actual performance on a comprehension test [60,64,65].…”
Section: (Meta-)cognitive Processes During the Learning Activitymentioning
confidence: 99%
“…To measure students' monitoring accuracy, we asked them to make prospective judgments about their expected performance on the posttest (i.e., text-based and inference questions combined) to investigate their monitoring accuracy by rating the following item: "How confident are you that you can answer questions to the text correctly?" [62,63]. Monitoring accuracy is commonly measured by the correspondence between students' judgements of their own current understanding and their actual performance on a comprehension test [60,64,65].…”
Section: (Meta-)cognitive Processes During the Learning Activitymentioning
confidence: 99%
“…Such misconceptions have detrimental effects on learning from reading. Specifically, Prinz et al (2019; see also Prinz et al 2018) found that learners who had more misconceptions about covariance not only achieved poorer comprehension of a text on covariance but also provided more overconfident predictions of their comprehension than learners who had fewer misconceptions. The same result was found when the learners were required to use their acquired knowledge about covariance to understand an educational research report that presented empirical findings involving covariance: Compared with learners who had fewer misconceptions, learners who had more misconceptions revealed poorer knowledge transfer as well as more overconfident predictions of their transfer.…”
Section: Misconceptions Impair Learning From Text and Metacomprehension Accuracymentioning
confidence: 94%
“…Typical examples of statistical misconceptions refer to the concept of covariance. For instance, many learners erroneously believe that covariance proves a causal relationship between two variables or that covariance is a standardized statistic that takes on values within a finite range just like the correlation coefficient (e.g., Moritz 2004;Prinz et al 2018Prinz et al , 2019. Such misconceptions have detrimental effects on learning from reading.…”
Section: Misconceptions Impair Learning From Text and Metacomprehension Accuracymentioning
confidence: 99%
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“…In this case, learners overestimate the knowledge they have acquired from learning. Research shows that this phenomenon is rather the rule than the exception (e.g., Dunning et al, 2003;Prinz, Wittwer, & Golke, 2018).…”
Section: Table 1 About Herementioning
confidence: 99%