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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
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Swire, Briony; Ecker, Ullrich K. H.; Lewandowsky, Stephan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
People frequently continue to use inaccurate information in their reasoning even after a credible retraction has been presented. This phenomenon is often referred to as the continued influence effect of misinformation. The repetition of the original misconception within a retraction could contribute to this phenomenon, as it could inadvertently…
Descriptors: Information Utilization, Familiarity, Error Correction, Misconceptions
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Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
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Lancaster, Julie; Bain, Alan – Asia-Pacific Journal of Teacher Education, 2010
This study compared two versions of a 13-week mandatory undergraduate inclusive education course to determine their effects on the self-efficacy of pre-service elementary education teachers. For the purposes of the research, the self-efficacy construct was applied specifically to working with students who have inclusive educational needs. The…
Descriptors: Educational Needs, Education Courses, Self Efficacy, Comparative Analysis