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Shemwell, Jonathan T.; Chase, Catherine C.; Schwartz, Daniel L. – Journal of Research in Science Teaching, 2015
Evaluating the relation between evidence and theory should be a central activity for science learners. Evaluation comprises both hypothetico-deductive analysis, where theory precedes evidence, and inductive synthesis, where theory emerges from evidence. There is mounting evidence that induction is an especially good way to help learners grasp the…
Descriptors: Thinking Skills, Correlation, Science Instruction, College Students
Shemwell, Jonathan T.; Chase, Catherine C.; Schwartz, Daniel L. – Grantee Submission, 2015
Evaluating the relation between evidence and theory should be a central activity for science learners. Evaluation comprises both hypothetico-deductive analysis, where theory precedes evidence, and inductive synthesis, where theory emerges from evidence. There is mounting evidence that induction is an especially good way to help learners grasp the…
Descriptors: Thinking Skills, Correlation, Science Instruction, College Students
Kim, Seonghoon; Feldt, Leonard S. – Journal of Educational Measurement, 2008
This article extends the Bonett (2003a) approach to testing the equality of alpha coefficients from two independent samples to the case of m [greater than or equal] 2 independent samples. The extended Fisher-Bonett test and its competitor, the Hakstian-Whalen (1976) test, are illustrated with numerical examples of both hypothesis testing and power…
Descriptors: Tests, Comparative Analysis, Hypothesis Testing, Error of Measurement
Yu, Chong Ho; And Others – 1995
Central limit theorem (CLT) is considered an important topic in statistics, because it serves as the basis for subsequent learning in other crucial concepts such as hypothesis testing and power analysis. There is an increasing popularity in using dynamic computer software for illustrating CLT. Graphical displays do not necessarily clear up…
Descriptors: Computer Simulation, Computer Software, Hypothesis Testing, Identification
Spray, Judith A. – 1993
Sequential probability ratio testing (PRT), which usually is applied in situations requiring a decision between two simple hypotheses or a single decision point, is extended to include situations involving k decision points and [(k + 1)-choose-2] sets of simultaneous, simple hypotheses, where k>1. The multiple-decision point or…
Descriptors: Classification, Computation, Computer Simulation, Decision Making
Klockars, Alan J.; Hancock, Gregory R. – 1993
The challenge of multiple comparisons is to maximize the power for answering specific research questions, while still maintaining control over the rate of Type I error. Several multiple comparison procedures have been suggested to meet this challenge. The stagewise protected procedure (SPP) of A. J. Klockars and G. R. Hancock tests null hypotheses…
Descriptors: Comparative Analysis, Computer Simulation, Hypothesis Testing, Mathematical Models
Ketelhut, Diane Jass; Nelson, Brian C. – Educational Research, 2010
Background: Most policy doctrines promote the use of scientific inquiry in the K-12 classroom, but good inquiry is hard to implement, particularly for schools with fiscal and safety constraints and for teachers struggling with understanding how to do so. Purpose: In this paper, we present the design of a multi-user virtual environment (MUVE)…
Descriptors: Suburban Schools, Student Attitudes, Virtual Classrooms, Science Curriculum
Peer reviewedCollins, Linda M.; And Others – Multivariate Behavioral Research, 1993
To assess problems in hypothesis testing and model comparisons based on normed indices caused by latent class models with sparse contingency tables, a simulation was carried out investigating the distributions of the likelihood ratio statistic, the Pearson statistic chi-square, and a new goodness of fit statistic. (SLD)
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Peer reviewedRaaijmakers, Jeroen G. W.; Pieters, Jo P. M. – Psychometrika, 1987
Functional and structural relationship alternatives to the standard "F"-test for analysis of covariance (ANCOVA) are discussed for cases when the covariate is measured with error. An approximate statistical test based on the functional relationship approach is preferred on the basis of Monte Carlo simulation results. (SLD)
Descriptors: Analysis of Covariance, Computer Simulation, Error of Measurement, Hypothesis Testing
Peer reviewedWilcox, Rand R. – Psychometrika, 1993
Modifications are proposed to the recently developed method of comparing one-step M-estimators of location corresponding to two independent groups that provides good control over the probability of Type I error even for unequal sample size, unequal variances, and different shaped distributions. Simulation results reveal cautions required. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)
Chou, Tungshan; Wang, Lih-Shing – 1992
P. O. Johnson and J. Neyman (1936) proposed a general linear hypothesis testing procedure for testing the null hypothesis of no treatment difference in the presence of some covariates. This is generally known as the Johnson-Neyman (JN) technique. The need for the hypothesis testing step (often omitted) as originally presented and the…
Descriptors: Computer Simulation, Equations (Mathematics), Foreign Countries, Hypothesis Testing
Peer reviewedStout, William – Psychometrika, 1987
A procedure--based on item response theory--for testing the hypothesis of unidimensionality of the latent space is proposed. Use of the procedure is supported by an asymptotic theory and a Monte Carlo simulation study. The procedure tests for unidimensionality in test construction and/or compares two tests. (SLD)
Descriptors: College Entrance Examinations, Computer Simulation, Equations (Mathematics), Hypothesis Testing
Peer reviewedNandakumar, Ratna; Stout, William – Journal of Educational Statistics, 1993
A detailed investigation is provided of Stout's statistical procedure (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary item response data from a psychological test. Three refinements achieve greater power. The revised approach is validated using real data sets.…
Descriptors: Computer Simulation, Equations (Mathematics), Hypothesis Testing, Item Response Theory
Tengs, Tammy O.; Ahmad, Sajjad; Moore, Rebecca; Gage, Eric – Journal of Policy Analysis and Management, 2004
If manufacturing a safer cigarette is technically possible--an open question--then mandating that tobacco manufacturers improve the safety of cigarettes would likely have both positive and negative implications for the nation's health. On the one hand, removing toxins may reduce the incidence of smoking-related diseases and premature mortality in…
Descriptors: Computer Simulation, Smoking, Hypothesis Testing, Cognitive Mapping
Nandakumar, Ratna; Stout, William – 1992
A detailed investigation of the statistical procedure of W. Stout (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary response data from a psychological test is presented. One finding is that DIMTEST may fail to perform as desired in the presence of guessing when…
Descriptors: Computer Simulation, Computer Software, Equations (Mathematics), Estimation (Mathematics)
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