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Kirkup, Les; Frenkel, Bob – Physics Education, 2020
When the relationship between two physical variables, such as voltage and current, can be expressed as y = bx where b is a constant. b may be estimated by least squares, or by averaging the values of b obtained for each x-y data pair. We show for data gathered in an experiment, as well as through Monte Carlo simulation and mathematical analysis,…
Descriptors: Comparative Analysis, Least Squares Statistics, Monte Carlo Methods, Physics
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Ryoo, Ji Hoon; Tai, Robert H.; Skeeles-Worley, Angela D. – Research in Science Education, 2020
In longitudinal studies, measurement invariance is required to conduct substantive comparisons over time or across groups. In this study, we examined measurement invariance on a recently developed instrument capturing student preferences for seven instructional strategies related to science learning and career interest. We have labeled these seven…
Descriptors: Guidelines, Longitudinal Studies, Comparative Analysis, Error of Measurement
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Skinner, Ellen; Saxton, Emily; Currie, Cailin; Shusterman, Gwen – International Journal of Science Education, 2017
As part of long-standing efforts to promote undergraduates' success in science, researchers have investigated the instructional strategies and motivational factors that promote student learning and persistence in science coursework and majors. This study aimed to create a set of brief measures that educators and researchers can use as tools to…
Descriptors: Undergraduate Students, Science Instruction, Majors (Students), Biology