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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
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Goldstein, Miriam D.; And Others – Teaching of Psychology, 1994
Describes a class demonstration of observer bias in which students were led to believe what the research data would indicate. Reports that students reported trends consistent with the expectancy. Asserts that the demonstration had a strong and memorable effect on students and has value for demonstrating observer bias. (CFR)
Descriptors: Course Content, Data Interpretation, Higher Education, Learning Strategies