When perceived informativity is not enough : How teachers perceive and interpret statistical results of educational research
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Teachers are encouraged to inform their professional actions by evidence. Consequently, it is important to know how they perceive and understand statistical results. In a representative sample of 414 teachers, we presented typical descriptions of inferential statistics and effect sizes. Results suggest that teachers perceive the standard significance statement, Cohen's U3, and a combined description of inferential statistic and effect size as most informative. Overall, however, they do not disentangle inferential statistics and effect sizes correctly. Designing informative and easy-to-understand science communication appears to be challenging. Hence, we suggest to also foster teachers' research literacy to improve their evidence-informed actions.
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SCHMIDT, Kirstin, Peter A. EDELSBRUNNER, Tom ROSMAN, Colin CRAMER, Samuel MERK, 2023. When perceived informativity is not enough : How teachers perceive and interpret statistical results of educational research. In: Teaching and Teacher Education. Elsevier. 2023, 130, 104134. ISSN 0742-051X. eISSN 1879-2480. Verfügbar unter: doi: 10.1016/j.tate.2023.104134BibTex
@article{Schmidt2023-08perce-71270, year={2023}, doi={10.1016/j.tate.2023.104134}, title={When perceived informativity is not enough : How teachers perceive and interpret statistical results of educational research}, volume={130}, issn={0742-051X}, journal={Teaching and Teacher Education}, author={Schmidt, Kirstin and Edelsbrunner, Peter A. and Rosman, Tom and Cramer, Colin and Merk, Samuel}, note={Article Number: 104134} }
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