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Jepsen, David A.; Dustin, Richard – Measurement and Evaluation in Guidance, 1984
Describes a simulation method for observing career information-seeking behavior. The Career Information Request (CIR) was tested at a Career Development Day for 53 high school juniors. No clear pattern of internal consistency was found among students' responses to the seven information opportunities. (JAC)
Descriptors: Career Development, High School Students, High Schools, Information Seeking
Peer reviewedMurphy, P. J. – Journal of Biological Education, 1983
Describes an exercise in biometrical genetics based on the noninteractive use of a computer simulation of a wheat hydridization program. Advantages of using the material in this way are also discussed. (Author/JN)
Descriptors: Biology, College Science, Computer Simulation, Genetics
Peer reviewedHiggins, John – CALICO Journal, 1983
When used to teach in a strictly instructional mode, as the language laboratory was, computers have limited application. However, when used for student manipulation during the learning process, the computer can enrich and diversify existing resources, increasing student exposure to materials. Moreover, this can be done with inexpensive, smaller…
Descriptors: Computer Assisted Instruction, Instructional Materials, Microcomputers, Second Language Instruction
Klingman, Avigdor – Death Education, 1983
Describes a simulation developed by school counselors to motivate elementary teachers to be actively involved in a death education curriculum. Also described are simulations dealing with death for use with elementary students. (RM)
Descriptors: Death, Elementary Education, Instructional Materials, Simulation
Speck, Bruce – ABCA Bulletin, 1983
Describes a course designed to teach written business communications in a simulated business environment. Summarizes student response to the course. (AEA)
Descriptors: Business Communication, Course Descriptions, Office Practice, Questionnaires
Peer reviewedHuberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
Peer reviewedGoldman, Richard M. – Young Children, 1976
A simulation design to help undergraduates link theory with practice as they explore curriculum models in depth, then incorporate components from each in developing their own model. (MS)
Descriptors: Curriculum Development, Higher Education, Models, Simulation
Lewin, Roland – 2001
This lesson plan, a simulation which can be a semester-long activity, illustrates numerous economic concepts to students of all abilities. The lesson's system has been used successfully for the past five years in English as a Second Language, regular, and Advanced Placement classes. The "system" has proven to be enjoyable, motivating,…
Descriptors: Economics, Economics Education, High Schools, Instructional Effectiveness
Glas, Cees A. W.; Meijer, Rob R. – 2001
A Bayesian approach to the evaluation of person fit in item response theory (IRT) models is presented. In a posterior predictive check, the observed value on a discrepancy variable is positioned in its posterior distribution. In a Bayesian framework, a Markov Chain Monte Carlo procedure can be used to generate samples of the posterior distribution…
Descriptors: Bayesian Statistics, Item Response Theory, Markov Processes, Models
Reese, Lynda M. – 1999
This study represented a first attempt to evaluate the impact of local item dependence (LID) for Item Response Theory (IRT) scoring in computerized adaptive testing (CAT). The most basic CAT design and a simplified design for simulating CAT item pools with varying degrees of LID were applied. A data generation method that allows the LID among…
Descriptors: College Entrance Examinations, Item Response Theory, Law Schools, Scoring
Brooks, Gordon P.; Barcikowski, Robert S. – 1995
When multiple regression is used to develop a prediction model, sample size must be large enough to ensure stable coefficients. If sample size is inadequate, the model may not predict well in future samples. Unfortunately, there are problems and contradictions among the various sample size methods in regression. For example, how does one reconcile…
Descriptors: Monte Carlo Methods, Power (Statistics), Prediction, Regression (Statistics)
Barnette, J. Jackson; McLean, James E. – 1997
J. Barnette and J. McLean (1996) proposed a method of controlling Type I error in pairwise multiple comparisons after a significant omnibus F test. This procedure, called Alpha-Max, is based on a sequential cumulative probability accounting procedure in line with Bonferroni inequality. A missing element in the discussion of Alpha-Max was the…
Descriptors: Analysis of Variance, Comparative Analysis, Monte Carlo Methods, Probability
Zwick, Rebecca – 1994
The Mantel Haenszel (MH; 1959) approach of Holland and Thayer (1988) is a well-established method for assessing differential item functioning (DIF). The formula for the variance of the MH DIF statistic is based on work by Phillips and Holland (1987) and Robins, Breslow, and Greenland (1986). Recent simulation studies showed that the MH variances…
Descriptors: Adaptive Testing, Evaluation Methods, Item Bias, Measurement Techniques
Tanguma, Jesus – 2001
The purpose of this study was to investigate the effects of sample size on the power of five selected fit indices through a Monte Carlo simulation. Two models (a reduced and a complete model) and 6 sample sizes (20, 50, 100, 200, 500, and 1,000) were used to investigate the effect on the power of fit indices as the sample size was varied. The…
Descriptors: Goodness of Fit, Models, Monte Carlo Methods, Power (Statistics)
Barnette, J. Jackson; McLean, James E. – 2000
The probabilities of attaining varying magnitudes of standardized effect sizes by chance and when protected by a 0.05 level statistical test were studied. Monte Carlo procedures were used to generate standardized effect sizes in a one-way analysis of variance situation with 2 through 5, 6, 8, and 10 groups with selected sample sizes from 5 to 500.…
Descriptors: Computer Simulation, Effect Size, Monte Carlo Methods, Probability


