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Lübke, Karsten; Gehrke, Matthias; Horst, Jörg; Szepannek, Gero – Journal of Statistics Education, 2020
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…
Descriptors: Inferences, Simulation, Attribution Theory, Teaching Methods
Prodromou, Theodosia – Australian Mathematics Teacher, 2016
New technologies have completely altered the ways that citizens can access data. Indeed, emerging online data sources give citizens access to an enormous amount of numerical information that provides new sorts of evidence used to influence public opinion. In this new environment, two trends have had a significant impact on our increasingly…
Descriptors: Tables (Data), Data Interpretation, Information Skills, Capacity Building
Ercikan, Kadriye; Roth, Wolff-Michael; Asil, Mustafa – Teachers College Record, 2015
Background/Context: Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (2) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the…
Descriptors: Inferences, International Education, International Studies, Case Studies
Langrall, Cynthia; Nisbet, Steven; Mooney, Edward; Jansem, Sinchai – Mathematical Thinking and Learning: An International Journal, 2011
Our research addresses the role that context expertise plays when students compare data. We report findings from a study conducted in 3 countries: Australia, United States, and Thailand. In each country, six middle school students analyzed authentic data relating to selected students' areas of interest. We examined the data analysis processes and…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Statistics

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