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Nel, Benita P. – South African Journal of Education, 2020
Learners intending to enter some higher education (HE) institutions in South Africa write the National Benchmark Tests (NBTs) that are expected to provide a measure of their readiness for HE. A large gap exists between the quantitative literacy competencies of many of these learners and expectations at HE level. In this article I explore the…
Descriptors: Benchmarking, Foreign Countries, College Readiness, College Bound Students
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Litke, Erica; Hill, Heather C. – Elementary School Journal, 2020
Understanding and analyzing data is a crucial aspect of quantitative literacy in the 21st century, leading scholars and policy makers to push for more rigorous instruction in this area rooted in statistical investigation. In this study, we examine 144 upper-elementary mathematics lessons on data and statistics topics to assess the extent to which…
Descriptors: Mathematics Instruction, Elementary School Students, Graphs, Statistics
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Litke, Erica; Hill, Heather C. – Elementary School Journal, 2020
Understanding and analyzing data is a crucial aspect of quantitative literacy in the 21st century, leading scholars and policy makers to push for more rigorous instruction in this area rooted in statistical investigation. In this study, we examine 144 upper-elementary mathematics lessons on data and statistics topics to assess the extent to which…
Descriptors: Mathematics Instruction, Elementary School Students, Graphs, Statistics
Morenike Adebodun – ProQuest LLC, 2020
The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…
Descriptors: Predictor Variables, Learning Analytics, Academic Achievement, Higher Education
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Kim, Sooyeon; Moses, Tim – ETS Research Report Series, 2016
The purpose of this study is to evaluate the extent to which item response theory (IRT) proficiency estimation methods are robust to the presence of aberrant responses under the "GRE"® General Test multistage adaptive testing (MST) design. To that end, a wide range of atypical response behaviors affecting as much as 10% of the test items…
Descriptors: Item Response Theory, Computation, Robustness (Statistics), Response Style (Tests)
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Hildreth, Laura A.; Green, Jennifer L. – Teaching Statistics: An International Journal for Teachers, 2016
We present a variant of the Game of Pig to introduce the concepts of probability, simulation and expected value.
Descriptors: Statistics, Probability, Simulation, Expectation
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Davis, Krista M.; Chitiyo, George – Research in the Schools, 2019
The present study investigated mediating and moderating relationships among school-level indicators of (a) exclusionary discipline, (b) the extent to which student voice is valued: (c) the level of student engagement, and (d) the grade tier of students served. The sample comprised 128 schools--72 elementary, 34 middle, and 22 high--from a large…
Descriptors: Student Attitudes, Learner Engagement, Predictor Variables, Discipline Policy
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Pedder, Hugo; Dias, Sofia; Bennetts, Margherita; Boucher, Martin; Welton, Nicky J. – Research Synthesis Methods, 2019
Background: Model-based meta-analysis (MBMA) is increasingly used to inform drug-development decisions by synthesising results from multiple studies to estimate treatment, dose-response, and time-course characteristics. Network meta-analysis (NMA) is used in Health Technology Appraisals for simultaneously comparing effects of multiple treatments,…
Descriptors: Meta Analysis, Guidelines, Drug Therapy, Decision Making
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Langan, Dean; Higgins, Julian P. T.; Jackson, Dan; Bowden, Jack; Veroniki, Areti Angeliki; Kontopantelis, Evangelos; Viechtbauer, Wolfgang; Simmonds, Mark – Research Synthesis Methods, 2019
Studies combined in a meta-analysis often have differences in their design and conduct that can lead to heterogeneous results. A random-effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian-Laird method is often used to estimate the heterogeneity variance,…
Descriptors: Simulation, Meta Analysis, Health, Comparative Analysis
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Crisostomo, Marisa E.; Chauhan, Rahul S. – Teaching Statistics: An International Journal for Teachers, 2019
Because of the increasing use of business analytics to improve business processes, it is not difficult to argue the importance that undergraduate business students gain the ability to understand, interpret, and communicate statistics. However, a task that may be difficult for statistics instructors is to quickly demonstrate and convince business…
Descriptors: Statistics, Undergraduate Students, Occupational Information, Business Administration Education
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Koskenoja, Mika – International Electronic Journal of Mathematics Education, 2019
Mathematics and statistics major master graduates of a Finnish university answered a questionnaire about the master thesis process. Their response was analyzed to find connections of the topic and supervisor selection to the factors supporting and preventing the master thesis progress. Certainty of the thesis topic and of selecting a supervisor…
Descriptors: Graduate Students, Masters Theses, Mathematics, Statistics
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Roberson, Nathan D.; Zumbo, Bruno D. – International Journal of Testing, 2019
This paper investigates measurement invariance as it relates to migration background using the Program for International Student Assessment measure of social belonging. We explore how the use of two measurement invariance techniques provide insights into differential item functioning using the alignment method in conjunction with logistic…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Zax, Alexandra; Williams, Katherine; Patalano, Andrea L.; Slusser, Emily; Cordes, Sara; Barth, Hilary – Journal of Cognition and Development, 2019
Similar estimation biases appear in a wide range of quantitative judgments, across many tasks and domains. Often, these biases (those that occur, for example, when adults or children indicate remembered locations of objects in bounded spaces) are believed to provide evidence of Bayesian or rational cognitive processing, and are explained in terms…
Descriptors: Undergraduate Students, Elementary School Students, Bayesian Statistics, Cognitive Processes
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Yang, Jie; Zabriskie, Cabot; Stewart, John – Physical Review Physics Education Research, 2019
Many studies have examined the structure and properties of the Force Concept Inventory (FCI); however, far less research has investigated the Force and Motion Conceptual Evaluation (FMCE). This study applied Multidimensional Item Response Theory (MIRT) to a sample of N = 4528 FMCE post-test responses. Exploratory factor analysis showed that 5, 9,…
Descriptors: Item Response Theory, Kinetics, Motion, Physics
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Susbiyanto, Susbiyanto; Kurniawan, Dwi Agus; Perdana, Rahmat; Riantoni, Cicyn – International Journal of Evaluation and Research in Education, 2019
The consequence of the assessment for the research statistics course at the department of physics Education in Universitas Jambi demonstrates the students' capacities to hold the idea of the mastery of research statistical concept is very low. It winds up one of the shortcomings for them to finish their final assignment. Therefore, the researcher…
Descriptors: Mastery Learning, Problem Based Learning, Statistics, Mathematical Concepts
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