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Kalinowski, Steven T.; Willoughby, Shannon – Journal of Research in Science Teaching, 2019
We present a multiple-choice test, the Montana State University Formal Reasoning Test (FORT), to assess college students' scientific reasoning ability. The test defines scientific reasoning to be equivalent to formal operational reasoning. It contains 20 questions divided evenly among five types of problems: control of variables, hypothesis…
Descriptors: Science Tests, Test Construction, Science Instruction, Introductory Courses
Mehren, Rainer; Rempfler, Armin; Buchholz, Janine; Hartig, Johannes; Ulrich-Riedhammer, Eva M. – Journal of Research in Science Teaching, 2018
Constituting a metacognitive strategy, system competence or systems thinking can only assume its assigned key function as a basic concept for the school subject of geography in Germany after a theoretical and empirical foundation has been established. A measurement instrument is required which is suitable both for supporting students and for the…
Descriptors: Models, Metacognition, Competence, Geography
Gibbons, Rebecca E.; Raker, Jeffrey R. – Journal of Research in Science Teaching, 2019
This study is designed to test a reciprocal causation, cross-lagged model of self-concept, self-efficacy, and achievement in a postsecondary STEM course. Both self-efficacy and self-concept are known to be related to achievement; however, there is a need to untangle the relationship between the two constructs as well as their association to…
Descriptors: Organic Chemistry, Self Concept, Self Efficacy, Science Achievement
Nehm, Ross H.; Schonfeld, Irvin Sam – Journal of Research in Science Teaching, 2008
Growing recognition of the central importance of fostering an in-depth understanding of natural selection has, surprisingly, failed to stimulate work on the development and rigorous evaluation of instruments that measure knowledge of it. We used three different methodological tools, the Conceptual Inventory of Natural Selection (CINS), a modified…
Descriptors: Evolution, Science Education, Interviews, Measures (Individuals)
Ruiz-Primo, Maria Araceli; Li, Min; Tsai, Shin-Ping; Schneider, Julie – Journal of Research in Science Teaching, 2010
In this study, we analyzed the quality of students' written scientific explanations found in notebooks and explored the link between the quality of the explanations and students' learning. We propose an approach to systematically analyzing and scoring the quality of students' explanations based on three components: claim, evidence to support it,…
Descriptors: Performance Based Assessment, Multiple Choice Tests, Science Instruction, Thinking Skills
Maltese, Adam V.; Hochbein, Craig D. – Journal of Research in Science Teaching, 2012
For more than half a century concerns about the ability of American students to compete in a global workplace focused policymakers' attention on improving school performance generally, and student achievement in science, technology, engineering, and mathematics (STEM) specifically. In its most recent form--No Child Left Behind--there is evidence…
Descriptors: School Restructuring, Federal Legislation, Science Achievement, Standardized Tests

Stefanich, Greg P.; And Others – Journal of Research in Science Teaching, 1983
Investigated convergent validity of individual Piaget/Inhelder clinical task interviews with Reasoning Test (Ankney and Joyce), Logical Reasoning Test (Burney), and Classroom Test of Formal Operations (Lawson). Indicates that correlations obtained are not sufficiently strong to warrant selection/categorization of individual students based on their…
Descriptors: Cognitive Development, College Science, Correlation, Developmental Stages
Aberg-Bengtsson, Lisbeth; Ottosson, Torgny – Journal of Research in Science Teaching, 2006
Based on studies carried out on qualitative data an instrument was constructed for investigating how larger numbers of students handle graphics. This test, consisting of 18 pages, each with its own graphic display(s) and a set of tasks, was distributed to 363 students, 15-16 years of age, from five different schools. The format of the questions…
Descriptors: Structural Equation Models, Factor Analysis, Compulsory Education, Academic Achievement