The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Models of Data: A Theory of How People Evaluate Data
Abstract
This article reports the results of a study investigating how undergraduates evaluate realistic scientific data in the domains of geology and paleontology. The results are used to test several predictions of a theory of data evaluation, which we call models-of-data theory. Models-of-data theory assumes that when evaluating data, the individual constructs a particular kind of cognitive model that integrates many features of the data with a theoretical interpretation of the data. The individual evaluates the model by attempting to generate alternative causal explanations for the events in the model. We contrast models-of-data theory with other proposals for how data are cognitively represented and show that models-of-data theory gives a good account of the pattern of written evaluations of data produced by the undergraduates in the study. We discuss theoretical and instructional implications of the theory.
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Cites
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“…evaluations of data but have used very simple coding schemas to code these explanations, such as coding only the number of strengths and weaknesses listed (e.g., Edwards & Smith, 1996; Liberman & Chaiken, 1992; Petty & Cacioppo, 1984) without further analyzing the content of the evaluations.”
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Cited by
Epistemologically authentic inquiry in schools: A theoretical framework for evaluating inquiry tasks
Chinn, C. A., & Malhotra, B. A. (2002) · Science Education · doi:10.1002/sce.10001 · Cited by 1,302
Self-citationMcNeill, K. L., Lizotte, D. J., Krajcik, J., & Marx, R. W. (2006) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1502_1 · Cited by 798
Challenges with graph interpretation: a review of the literature
Glazer, N. (2011) · Studies in Science Education · doi:10.1080/03057267.2011.605307 · Cited by 285
Duncan, R. G., Chinn, C. A., & Barzilai, S. (2018) · Journal of Research in Science Teaching · doi:10.1002/tea.21468 · Cited by 165
Self-citationMuris, P., & Otgaar, H. (2020) · Mindfulness · doi:10.1007/s12671-020-01363-0 · Cited by 162
Metadata
- Authors
- Chinn, C. A., & Brewer, W. F.
- Venue
- Cognition and Instruction
- Publisher
- Informa UK Limited
- Published
- 2001-09
- Volume
- 19
- Issue
- 3
- Pages
- 323-393
- ISSN
- 0737-0008 (ISSN-L)
- 1532-690X
- OpenAlex
- W2016310005
- Cited by
- 166
- References
- 10
- FWCI
- 20.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
