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Direct linkMarianne van Dijke-Droogers; Paul Drijvers; Arthur Bakker – Mathematics Education Research Journal, 2025
In our data-driven society, it is essential for students to become statistically literate. A core domain within Statistical Literacy is Statistical Inference, the ability to draw inferences from sample data. Acquiring and applying inferences is difficult for students and, therefore, usually not included in the pre-10th-grade curriculum. However,…
Descriptors: Statistical Inference, Learning Trajectories, Grade 9, High School Students
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Mathematical Thinking and Learning: An International Journal, 2020
While various studies suggest that informal statistical inference (ISI) can be developed by young students, more research is needed to translate this claim into a well-founded learning trajectory (LT). As a contribution, this paper presents the results of a cycle of design research that focuses on the design, implementation, and evaluation of the…
Descriptors: Statistical Inference, Grade 9, Sampling, Statistical Distributions
Høigaard, Rune; Kovac, Velibor Bobo; Øverby, Nina Cecilie; Haugen, Tommy – School Psychology Quarterly, 2015
This study investigated the effects of proximal and distal constructs on adolescent's academic achievement through self-efficacy. Participants included 482 ninth-and tenth-grade Norwegian students who completed a questionnaire designed to assess school-goal orientations, organizational citizenship behavior, academic self-efficacy, and academic…
Descriptors: Self Efficacy, School Psychology, Academic Achievement, Questionnaires
