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Gorard, Stephen – International Journal of Social Research Methodology, 2019
This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…
Descriptors: Intervals, Statistics, Social Sciences, Foreign Countries
Groth, Randall E. – Journal of Statistics Education, 2019
The Common Core State Standards for Mathematics have a widespread impact on children's statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research…
Descriptors: Common Core State Standards, Grade 4, Grade 5, Grade 6
Marron, Megan M.; Wahed, Abdus S. – Journal of Statistics Education, 2016
Missing data mechanisms, methods of handling missing data, and the potential impact of missing data on study results are usually not taught until graduate school. However, the appropriate handling of missing data is fundamental to biomedical research and should be introduced earlier on in a student's education. The Summer Institute for Training in…
Descriptors: Summer Programs, Undergraduate Students, Data, Statistics
Lessani, Abdolreza; Yunus, Aida Suraya Md; Tarmiz, Rohani Ahmad; Mahmud, Rosnaini – International Education Studies, 2014
The international comparison of students' mathematics knowledge and competencies is an effective method of evaluating students' mathematics performance and developing policies to improve their achievements in mathematics. Trends in International Mathematics and Science Study (TIMSS) are among the most well-recognized international comparisons that…
Descriptors: Foreign Countries, Grade 8, Mathematics Achievement, Mathematics Curriculum
Orcan, Fatih – ProQuest LLC, 2013
Parceling is referred to as a procedure for computing sums or average scores across multiple items. Parcels instead of individual items are then used as indicators of latent factors in the structural equation modeling analysis (Bandalos 2002, 2008; Little et al., 2002; Yang, Nay, & Hoyle, 2010). Item parceling may be applied to alleviate some…
Descriptors: Structural Equation Models, Evaluation Methods, Simulation, Sample Size
Zu, Jiyun; Yuan, Ke-Hai – Journal of Educational Measurement, 2012
In the nonequivalent groups with anchor test (NEAT) design, the standard error of linear observed-score equating is commonly estimated by an estimator derived assuming multivariate normality. However, real data are seldom normally distributed, causing this normal estimator to be inconsistent. A general estimator, which does not rely on the…
Descriptors: Sample Size, Equated Scores, Test Items, Error of Measurement
Watson, Jane M. – Teaching Statistics: An International Journal for Teachers, 2011
Developing statistical literacy for older school students includes recognizing and interpreting conditional statements in the media. Data on couples' success in predicting whether their partners have cheated provides a motivating context for teachers to lead their students through this process.
Descriptors: Probability, Statistics, Mathematics Instruction, Data
Reeve, Elizabeth; Beswick, Kim – Australian Primary Mathematics Classroom, 2013
This article by Elizabeth Reeve and Kim Beswick illustrates how primary children may engage with the Statistics and Probability content contained in the Australian Curriculum. Technology has opened up many possibilities for young children to engage with statistics. In the process the children learned a great deal more than just mathematics.
Descriptors: Mathematics, Mathematics Instruction, Elementary School Mathematics, Probability
Achieve, Inc., 2013
Research by Achieve, ACT, and others suggests that for high school graduates to be prepared for success in a wide range of postsecondary settings, they need to take four years of challenging mathematics--covering Advanced Algebra; Geometry; and data, probability, and statistics content--and four years of rigorous English aligned with college- and…
Descriptors: Career Readiness, College Readiness, Graduation Requirements, High Schools
Phelps, James L. – Educational Considerations, 2012
In most school achievement research, the relationships between achievement and explanatory variables follow the Newton and Einstein concept/principle and the viewpoint of the macro-observer: Deterministic measures based on the mean value of a sufficiently large number of schools. What if the relationships between achievement and explanatory…
Descriptors: Academic Achievement, Computation, Probability, Statistics
Albert Y. Kim; Adriana Escobedo-Land – Journal of Statistics Education, 2015
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…
Descriptors: Statistics, Introductory Courses, Data, Educational Practices
Duffy, Sean – Journal of Statistics Education, 2010
This paper describes three spreadsheet exercises demonstrating the nature and frequency of type I errors using random number generation. The exercises are designed specifically to address issues related to testing multiple relations using correlation (Demonstration I), t tests varying in sample size (Demonstration II) and multiple comparisons…
Descriptors: Spreadsheets, Class Activities, Statistics, Inferences
Navarrete-Alvarez, Esteban; Rosales-Moreno, Maria Jesus; Huete-Morales, Maria Dolores – Online Submission, 2010
Statistics teaching should not be carried out in the same way for all kinds of university students. Instead, teaching statistics should take into account the different fields of study that students have chosen. For example, students of sciences or engineering have different interests and backgrounds compared to students of any social or juridical…
Descriptors: Academic Achievement, Statistics, Labor, Teaching Methods
Peer reviewedFazli, K.; Behboodian, J. – International Journal of Mathematical Education in Science and Technology, 2002
The purpose of this note is to give a construction method for measures of central tendency and dispersion of a set of data on the basis of some symmetric multivariate functions and distance functions. Several examples regarding the known and new measures are presented. (Author/MM)
Descriptors: Data, Higher Education, Mathematics, Mathematics Education
Singamsetti, Rao – Journal of College Teaching & Learning, 2007
In this paper an attempt is made to highlight some issues of interpretation of statistical concepts and interpretation of results as taught in undergraduate Business statistics courses. The use of modern technology in the class room is shown to have increased the efficiency and the ease of learning and teaching in statistics. The importance of…
Descriptors: Statistics, Mathematics Instruction, Business Administration Education, Undergraduate Students
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