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Jansen, Margo G. H. – Journal of Educational and Behavioral Statistics, 2007
The author considers a latent trait model for the response time on a (set of) pure speed test(s), the multiplicative gamma model (MGM), which is based on the assumption that the test response times are approximately gamma distributed, with known index parameters and scale parameters depending on subject ability and test difficulty parameters. Like…
Descriptors: Reaction Time, Timed Tests, Item Response Theory, Models
Shi, W.; Kibria, B. M. Golam – International Journal of Mathematical Education in Science and Technology, 2007
A number of methods are available in the literature to measure confidence intervals. Here, confidence intervals for estimating the population mean of a skewed distribution are considered. This note proposes two alternative confidence intervals, namely, Median t and Mad t, which are simple adjustments to the Student's t confidence interval. In…
Descriptors: Program Effectiveness, Probability, Intervals, Simulation
Joarder, A. H.; Abujiya, M. R. – International Journal of Mathematical Education in Science and Technology, 2007
A method called the Remainder Method is proposed for the calculation of sample quantiles of a given order, for example, quartiles, hexatiles, octatiles, deciles and percentiles assuming that all the observations are distinct. Proof is given for a special case of deciles. The criterion "equisegmentation" is proposed, namely that the number of…
Descriptors: Mathematics Instruction, Mathematics, Statistics, Mathematical Concepts
Fidalgo, Angel M.; Hashimoto, Kanako; Bartram, Dave; Muniz, Jose – Journal of Experimental Education, 2007
In this study, the authors assess several strategies created on the basis of the Mantel-Haenszel (MH) procedure for conducting differential item functioning (DIF) analysis with small samples. One of the analytical strategies is a loss function (LF) that uses empirical Bayes Mantel-Haenszel estimators, whereas the other strategies use the classical…
Descriptors: Bayesian Statistics, Test Bias, Statistical Analysis, Sample Size
Peer reviewedJones, Douglas H. – Journal of Educational and Behavioral Statistics, 1994
This book is a solid introduction to applied statistics emphasizing computational statistics that can be done with a simple calculator. Because of the progress in speed and power of computers since the first edition in the 1970s, the book is behind in giving information on practical computation. (SLD)
Descriptors: Computation, Research Methodology, Statistical Analysis, Statistics
Hall, Kendra M.; Markham, Janet C.; Culatta, Barbara – Communication Disorders Quarterly, 2005
In the present study, the authors investigated the initial development of the Early Expository Comprehension Assessment (EECA) by examining its reliability. The EECA consists of a compare/contrast passage, manipulatives to represent the information in the paragraph, and three response tasks ("Retelling, Mapping, and Comparing"). The authors…
Descriptors: Statistical Analysis, Computation, Preschool Children, Test Reliability
Peer reviewedEdwards, Michael Todd – Mathematics Teacher, 2005
The preliminary findings resulting when invented algorithm is used with entry-level students while introducing linear equations is described. As calculations are accessible, the algorithm is preferable to more rigorous statistical procedures in entry-level classrooms.
Descriptors: Equations (Mathematics), Statistical Analysis, Computation, Mathematics Instruction
Lann, Avital; Falk, Ruma – Teaching Statistics: An International Journal for Teachers, 2005
The self-weighted mean ("WS')--in which each value is weighted by itself--is presented in several contexts and illustrated. It is incorporated in a set of more familiar means. Intuitions concerning "WS" are explored.
Descriptors: Statistics, Mathematics Instruction, Statistical Analysis, Computation
Sheldon, Neil – Teaching Statistics: An International Journal for Teachers, 2004
This article defines the generalized mean and shows how it relates to such statistics as the arithmetic, geometric and harmonic means.
Descriptors: Geometric Concepts, Computation, Statistics, Statistical Analysis
Farnsworth, David L. – Teaching Statistics: An International Journal for Teachers, 2004
This article describes the most compact 100c% interval for a probability density for 0
Descriptors: Probability, Computation, Mathematical Concepts, Statistics
Bhanu, K. S.; Deshpande, M. N. – Teaching Statistics: An International Journal for Teachers, 2004
In this note, a coin tossing experiment which leads to three discrete distributions is discussed.
Descriptors: Computation, Mathematics Education, Statistical Analysis, Inferences
Redmond, Adrienne – ProQuest LLC, 2009
This sequential explanatory mixed methods study explored 34 prospective elementary teachers understanding of division of fractions at the beginning and end of their final mathematics methods course. Participants' beliefs on the teaching and learning of division with fractions were also explored. At the beginning of the course, the participants had…
Descriptors: Methods Courses, Teacher Education Curriculum, Anxiety, Preservice Teachers
Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2007
A common mistake in analysis of cluster randomized trials is to ignore the effect of clustering and analyze the data as if each treatment group were a simple random sample. This typically leads to an overstatement of the precision of results and anticonservative conclusions about precision and statistical significance of treatment effects. This…
Descriptors: Statistical Significance, Computation, Cluster Grouping, Statistics
Luwel, Koen; Verschaffel, Lieven – European Journal of Psychology of Education, 2008
Groups of mathematically strong and weak second-, fourth- and sixth-graders were individually confronted with numerosities smaller and larger than 100 embedded in one-, two- or three-dimensional realistic contexts. While one third of these contexts were totally unstructured (e.g., an irregular piece of land jumbled up with 72 cars), another third…
Descriptors: Elementary School Students, Problem Solving, Computation, Number Concepts
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research

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