2015
DOI: 10.1080/09500693.2015.1045958
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The Learning Benefits of Being Willing and Able to Engage in Scientific Argumentation

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Cited by 78 publications
(67 citation statements)
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“…For example, one paper in the IJSE volume surveyed (Bathgate, Crowell, Schunn, Cannady, & Dorph, 2015) made two references to an unspecified alpha statistic. Bathgate and colleagues describe developing "a measure of students' ability to make effective arguments in science" (p.1596) for which "the overall instrument had acceptable reliability (alpha = .77)," and a "knowledge test administered before and after the 4-month classroom unit on weather and climate" which comprised "21 items, alpha = .78" (p.1600).…”
Section: The Frequency Of Use Of Cronbach's Alpha In Science Educationmentioning
confidence: 99%
“…For example, one paper in the IJSE volume surveyed (Bathgate, Crowell, Schunn, Cannady, & Dorph, 2015) made two references to an unspecified alpha statistic. Bathgate and colleagues describe developing "a measure of students' ability to make effective arguments in science" (p.1596) for which "the overall instrument had acceptable reliability (alpha = .77)," and a "knowledge test administered before and after the 4-month classroom unit on weather and climate" which comprised "21 items, alpha = .78" (p.1600).…”
Section: The Frequency Of Use Of Cronbach's Alpha In Science Educationmentioning
confidence: 99%
“…The Scientific Reasoning Inventory (SRI) measures components of scientific reasoning in a paper-and-pencil multiple choice task. The task was based on the Argumentative Sensemaking Measure developed for middle school (Bathgate, Crowell, Schunn, Cannady, & Dorph, 2015) and adapted to elementary school by Van de Sande, Verhoeven, Kleemans, and Segers (in press). The subtasks are based on validated scientific reasoning tasks from previous research (Chen & Klahr, 1999;Kuhn & Dean, 2005;Schröder, Bödeker, & Edelstein, 2000).…”
Section: 32mentioning
confidence: 99%
“…Students who engage in scientific argumentation and model-based reasoning are more likely to achieve deep conceptual understandings of STEM phenomena (Bathgate, Crowell, Schunn, Cannady, & Dorph, 2015;Chinn & Clark, 2013;Chinn, O'Donnell, & Jinks, 2000;Sampson & Clark, 2009;Zohar & Nemet, 2002). They are also more likely to develop a better sense of how science truly works (Kuhn et al, 2017;NRC, 2012), including that models of scientific phenomena can, should, and do improve with continued research and analysis (Schwarz et al, 2009).…”
Section: Scientific Argumentation Researchmentioning
confidence: 99%