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Chance, Beth; Wong, Jimmy; Tintle, Nathan – Journal of Statistics Education, 2016
"Simulation-based inference" (e.g., bootstrapping and randomization tests) has been advocated recently with the goal of improving student understanding of statistical inference, as well as the statistical investigative process as a whole. Preliminary assessment data have been largely positive. This article describes the analysis of the…
Descriptors: Statistical Inference, Simulation, College Mathematics, Statistics
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Yamada, Hiroyuki; Bryk, Anthony S. – Community College Review, 2016
Objective: Statway is a community college pathways initiative developed by the Carnegie Foundation for the Advancement of Teaching designed to accelerate students' progress through their developmental math sequence to acquiring college math credit in statistics. Statway is a multifaceted change initiative designed to address the complex problems…
Descriptors: Community Colleges, Program Descriptions, College Credits, Mathematics Instruction
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Agus, Mirian; Peró-Cebollero, Maribel; Penna, Maria Pietronilla; Guàrdia-Olmos, Joan – EURASIA Journal of Mathematics, Science & Technology Education, 2015
This study aims to investigate about the existence of a graphical facilitation effect on probabilistic reasoning. Measures of undergraduates' performances on problems presented in both verbal-numerical and graphical-pictorial formats have been related to visuo-spatial and numerical prerequisites, to statistical anxiety, to attitudes towards…
Descriptors: Undergraduate Students, Psychology, Majors (Students), Foreign Countries
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Mutz, Rudiger; Daniel, Hans-Dieter – British Journal of Educational Psychology, 2013
Background: It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrolment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important…
Descriptors: Foreign Countries, Psychology, Research Methodology, Statistics
Patterson, Brian F. – College Board, 2008
Presented at the quarterly meeting of the New York Area SAS Users-Group in December 2008. In virtually any research context, there is likely to be opportunity to apply mixed-models--of which repeated-measures, multilevel, hierarchical and random- and fixed-effect models are specific types-- that improve upon their traditional linear or generalized…
Descriptors: Hierarchical Linear Modeling, Statistics, Computer Software, College Entrance Examinations