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Kaimi, Irene – Teaching Statistics: An International Journal for Teachers, 2015
This articles argues in favour of a recently introduced approach to statistical inference which focuses on understanding the data generating process. A comprehensive example supports the discussion.
Descriptors: Statistical Inference, Statistical Data, Data Collection, Probability
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
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Hoeken, Hans; Hustinx, Lettica – Human Communication Research, 2009
Under certain conditions, statistical evidence is more persuasive than anecdotal evidence in supporting a claim about the probability that a certain event will occur. In three experiments, it is shown that the type of argument is an important condition in this respect. If the evidence is part of an argument by generalization, statistical evidence…
Descriptors: Persuasive Discourse, Probability, Statistical Data, Evidence
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Moses, Tim – Journal of Educational and Behavioral Statistics, 2008
Equating functions are supposed to be population invariant, meaning that the choice of subpopulation used to compute the equating function should not matter. The extent to which equating functions are population invariant is typically assessed in terms of practical difference criteria that do not account for equating functions' sampling…
Descriptors: Equated Scores, Error of Measurement, Sampling, Evaluation Methods
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Andrews, Mark; Vigliocco, Gabriella; Vinson, David – Psychological Review, 2009
The authors identify 2 major types of statistical data from which semantic representations can be learned. These are denoted as "experiential data" and "distributional data". Experiential data are derived by way of experience with the physical world and comprise the sensory-motor data obtained through sense receptors. Distributional data, by…
Descriptors: Semantics, Written Language, Statistical Distributions, Statistical Data
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Capraro, Mary Margaret; Kulm, Gerald; Capraro, Robert M. – School Science and Mathematics, 2005
A sample of 134 sixth-grade students who were using the Connected Mathematics curriculum were administered an open-ended item entitled, Vet Club (Balanced Assessment, 2000). This paper explores the role of misconceptions and naive conceptions in the acquisition of statistical thinking for middle grades students. Students exhibited misconceptions…
Descriptors: Grade 6, Probability, Misconceptions, Mathematics Education
Dinov, Ivo D. – Online Submission, 2006
The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an…
Descriptors: Statistical Data, Statistical Analysis, Probability, Internet
McLean, James E.; Hebbler, Stephen W. – 1993
A method of generating common statistical tables using canned statistical computer software is presented. This method allows instructors to provide statistical tables for their students, tailored to their needs. The four most common tables used in elementary college statistics courses are z (standard normal), t, F, and chi square. Specific…
Descriptors: Chi Square, College Mathematics, Computer Assisted Instruction, Computer Software
Rossi, Robert J. – 1987
Project MAP (Model Accounting Plan) is designed to test a demographic system for monitoring the within-school and post-school transitions of special education participants. Implemented at the local level, this system produces data to inform school-level decision-making. In addition, the data that are produced can be aggregated for use at higher…
Descriptors: Adolescents, Data Collection, Decision Making, Disabilities