The #NGSS propose diff experiences 4 Ss n sci classrooms, a ‘practice turn’. Recognizing this, we (Hyunju Lee @LonghurstMax @tjscience Dan Coster @LisaLundgren21 ) sensed a need 4 a survey 4 Ss 2 report their experiencs. Here’s a thread👇abt it 1/n




Excited 2 c this out, 'Next generation science classrooms: The development of a questionnaire for examining student experiences in science
— Todd Campbell (@dtcampbe) January 26, 2021
classrooms' out w @LonghurstMax @tjscience @LisaLundgren21 et al - DM me if interested n a copy!#NGSS @CSSSupervisors #NGSSChat @NGSS_tweeps pic.twitter.com/MypVw1xqTW
Say you want to share your research on Twitter using a thread. How do you do it succinctly, effectively, and coherently? Boy, have I got a thread for you!#AcademicTwitter #SciComm 1/9
— Lisa Lundgren, PhD (she/her) (@LisaLundgren21) September 4, 2019
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The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
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I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
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Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
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