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Christopher Osterhaus
Ludwig Maximilian University of Munich
3Publications
1H-index
2Citations
Publications 4
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#1Nina Knöchelmann (LMU: Ludwig Maximilian University of Munich)
#2Sabine Krueger (LMU: Ludwig Maximilian University of Munich)
Last.Christopher Osterhaus (LMU: Ludwig Maximilian University of Munich)H-Index: 1
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The ability to correctly interpret data is an important skill in modern knowledge societies. The present study investigates adults’ ability to interpret covariation data presented in bar graphs. Drawing on previous findings that show that the problem context influences the interpretation of contingency tables (grounded and concrete problems are easier than abstract ones) and based on findings from the literature on motivated reasoning (confirming problems are easier than disconfirming ones), we ...
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#1Susanne Koerber (UEW: University of Education, Winneba)H-Index: 7
#2Christopher Osterhaus (LMU: Ludwig Maximilian University of Munich)H-Index: 1
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#1Susanne Koerber (UEW: University of Education, Winneba)H-Index: 7
#2Christopher Osterhaus (LMU: Ludwig Maximilian University of Munich)H-Index: 1
ABSTRACTEarly scientific thinking in kindergarten (6-year-olds) was investigated in a large study involving 227 participants. We investigated (1) whether individual differences across 3 scientific-...
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#1Christopher Osterhaus (LMU: Ludwig Maximilian University of Munich)H-Index: 1
#2Jaclyn Magee (UW: University of Wisconsin-Madison)H-Index: 1
Last.Martha W. Alibali (UW: University of Wisconsin-Madison)H-Index: 40
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People often have difficulty interpreting covariation data presented in contingency tables. The present study investigates adults’ success and strategy use in interpreting covariation data as a function of two factors that may influence performance: symmetry and context. We hypothesised that symmetrical problems, which involve comparing two candidate causes, would elicit more adequate interpretations than asymmetrical problems, which involve comparing the presence and absence of one candidate ca...
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