Naïve and informed views on the nature of scientific inquiry in large-scale assessments: Two sides of the same coin or different currencies

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Nehring, Andreas: Naïve and informed views on the nature of scientific inquiry in large-scale assessments: Two sides of the same coin or different currencies. In: Journal of Research in Science Teaching 57 (2019), Nr. 4, S. 510-535. DOI: https://doi.org/10.1002/tea.21598

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10228

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Sum total of downloads: 114




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Abstract: 
Many models in the field of epistemic cognition conceptualize students' views as being on a continuum between the poles of naïve and informed views. Against this background, the aim of the present study was to find out whether views on the nature of scientific inquiry (NOSI views) should be conceptualized and quantitatively assessed in a more multiplistic manner, considering naïve and informed views in their own, separate dimensions. Based on a competence model defining three inquiry methods, we developed a Likert-scaled questionnaire containing 10 scales, each assessing one NOSI view. We administered the questionnaire to a sample of 802 students in the lower and upper levels of secondary school. Based on structural equation modeling, the analyses confirmed a 10-dimensional model, distinguishing between each naïve and informed views as the only adequate representation of the data. Latent class analysis and interview data revealed four profiles of NOSI views in the data, which differed with regard to their agreement or disagreement with different naïve and informed views. We interpret these findings as evidence that supports more multiplistic models, with relevance to conceptualizing, measuring, and fostering NOSI views. We derive future directions of nature of science and NOSI research linking basic and applied research using experimental studies. © 2019 The Author. Journal of Research in Science Teaching published by Wiley Periodicals, Inc.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Naturwissenschaftliche Fakultät

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 65 57.02%
2 image of flag of United States United States 19 16.67%
3 image of flag of China China 8 7.02%
4 image of flag of Taiwan Taiwan 3 2.63%
5 image of flag of Austria Austria 3 2.63%
6 image of flag of France France 2 1.75%
7 image of flag of Switzerland Switzerland 2 1.75%
8 image of flag of Kazakhstan Kazakhstan 1 0.88%
9 image of flag of Japan Japan 1 0.88%
10 image of flag of Indonesia Indonesia 1 0.88%
    other countries 9 7.89%

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