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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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Hahs-Vaughn, Debbie L.; Acquaye, Hannah; Griffith, Matthew D.; Jo, Hang; Matthews, Ken; Acharya, Parul – Journal of Statistics Education, 2017
Statistical literacy refers to understanding fundamental statistical concepts. Assessment of statistical literacy can take the forms of tasks that require students to identify, translate, compute, read, and interpret data. In addition, statistical instruction can take many forms encompassing course delivery format such as face-to-face, hybrid,…
Descriptors: Introductory Courses, Statistics, Graduate Students, Online Courses
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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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Mills, Jamie D.; Simon, Marsha E. – Middle Grades Research Journal, 2015
This study investigated the performance of U.S. eighth-grade female and minority students' achievement in learning statistics concepts using the Data and Chance content domain from the Trends in International Mathematics and Science Study 2007 (TIMSS 2007). Using variables that have been linked to mathematics and statistics achievement in the…
Descriptors: Grade 8, Minority Group Students, Females, Literacy
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Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
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Watson, Jane; Callingham, Rosemary – Mathematical Thinking and Learning: An International Journal, 2014
Some problems exist at the intersection of statistics and probability, creating a dilemma in relation to the best approach to assist student understanding. Such is the case with problems presented in two-way tables representing conditional information. The difficulty can be confounded if the context within which the problem is set is one where…
Descriptors: Statistics, Probability, Tables (Data), Middle School Students
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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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Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
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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
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Mills, Jamie D.; Holloway, Charles E. – Educational Research and Evaluation, 2013
This study investigated the relationship between student achievement in statistics and factors at the student and teacher/classroom levels using the US 8th-grade Data and Chance content domain from the Trends in International Mathematics and Science Study, 2007 (TIMSS, 2007). Using variables that have been linked to mathematics and statistics…
Descriptors: Mathematics Achievement, Statistics, Grade 8, Middle School Students
Northrup, Christian Glenn – ProQuest LLC, 2012
This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled…
Descriptors: Statistics, Problem Solving, Writing (Composition), Teaching Methods
Potter, James Thomson, III – ProQuest LLC, 2012
Research into teaching practices and strategies has been performed separately in AP Statistics and in K-12 online learning (Garfield, 2002; Ferdig, DiPietro, Black & Dawson, 2009). This study seeks combine the two and build on the need for more investigation into online teaching and learning in specific content (Ferdig et al, 2009; DiPietro,…
Descriptors: Advanced Placement, Online Courses, High School Students, 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