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Hartog, Joop; Van Ophem, Hans; Bajdechi, Simona Maria – Education Economics, 2007
The risk of investment in schooling has largely been ignored. We mimic the investment decision facing a student and simulate risky earnings profiles in alternative options, with parameters taken from the very limited evidence. The distribution of rates of return appears positively skewed. Our best estimate of "ex ante" risk in university education…
Descriptors: Parent Background, Human Capital, Educational Attainment, Risk
Lewis, Charles; Willingham, Warren W. – 1995
As strongly suggested by recent work, patterns of gender difference can change because of changes in the selectivity of the sample itself. This is a statistical influence connected with the distributions of female and male scores, rather than a substantive influence related to demographic characteristics of the sample such as age or ethnicity. It…
Descriptors: Age Differences, Educational Assessment, Models, Sampling
Donoghue, John R. – 1995
A Monte Carlo study compared the usefulness of six variable weighting methods for cluster analysis. Data were 100 bivariate observations from 2 subgroups, generated according to a finite normal mixture model. Subgroup size, within-group correlation, within-group variance, and distance between subgroup centroids were manipulated. Of the clustering…
Descriptors: Algorithms, Cluster Analysis, Comparative Analysis, Correlation
Moisl, Hermann – 1994
It is argued that pessimistic assessments of the adequacy of artificial neural networks (ANNs) for natural language processing (NLP) on the grounds that they have a finite state architecture are unjustified, and that their adequacy in this regard is an empirical issue. First, arguments that counter standard objections to finite state NLP on the…
Descriptors: Computational Linguistics, Foreign Countries, Language Processing, Language Research
Althouse, Linda Akel; Ware, William B.; Ferron, John M. – 1998
The assumption of normality underlies much of the standard statistical methodology. Knowing how to determine whether a sample of measurements is from a normally distributed population is crucial both in the development of statistical theory and in practice. W. Ware and J. Ferron have developed a new test statistic, modeled after the K-squared test…
Descriptors: Monte Carlo Methods, Power (Statistics), Sample Size, Simulation
Bay, Luz – 1995
An index is proposed to detect cheating on multiple-choice examinations, and its use is evaluated through simulations. The proposed index is based on the compound binomial distribution. In total, 360 simulated data sets reflecting 12 different cheating (copying) situations were obtained and used for the study of the sensitivity of the index in…
Descriptors: Cheating, Class Size, Identification, Multiple Choice Tests
Parshall, Cynthia G.; Kromrey, Jeffrey D.; Chason, Walter M. – 1996
The benefits of item response theory (IRT) will only accrue to a testing program to the extent that model assumptions are met. Obtaining accurate item parameter estimates is a critical first step. However, the sample sizes required for stable parameter estimation are often difficult to obtain in practice, particularly for the more complex models.…
Descriptors: Comparative Analysis, Estimation (Mathematics), Item Response Theory, Models
Mazor, Kathleen M.; And Others – 1991
The Mantel-Haenszel (MH) procedure has become one of the most popular procedures for detecting differential item functioning. Valid results with relatively small numbers of examinees represent one of the advantages typically attributed to this procedure. In this study, examinee item responses were simulated to contain differentially functioning…
Descriptors: Difficulty Level, Item Bias, Item Response Theory, Sample Size
Markovich, Denise – 1983
A simulation game being used in the economics department at the University of North Dakota to introduce students to the world of banking is described. The rationale for this approach is that the economics curriculum tends to be more conceptual than practical in content, and provides limited internship opportunities. The simulation game approach…
Descriptors: Banking, College Students, Economics Education, Finance Occupations
Peer reviewedWeiting, Stephen G. – Teaching Sociology, 1975
The development and implementation of simulated research experiences for use in teaching research methods to undergraduate sociology majors are described. (Author/DE)
Descriptors: Course Descriptions, Educational Innovation, Higher Education, Research Methodology
Peer reviewedKallaus, Norman F. – Business Education Forum, 1975
Descriptors: Business Education, Information Processing, Information Systems, Models
Peer reviewedBoin, David J.; Sill, Robert – California Council for the Social Studies Review, 1974
A simulation is offered as an example of how it can improve dialogue, encourage valuing, and stimulate student participation in real world experiences. (Author/KM)
Descriptors: Affective Behavior, Classroom Techniques, Role Playing, Simulation
Peer reviewedJennings, Helen; Eggleston, Allen – California Council for the Social Studies Review, 1974
This simulation focuses on one of the social and psychological difficulties inherent in the assimilation process, the language barrier. (Author/KM)
Descriptors: Acculturation, Cultural Awareness, Cultural Pluralism, Language Role
De Koven, Bernard – Simulation/Gaming/News, 1975
Descriptors: Conflict Resolution, Decision Making Skills, Educational Games, Problem Solving
Attali, Yigal – ETS Research Report Series, 2004
Contrary to common belief, reliability estimates of number-right multiple-choice tests are not inflated by speededness. Because examinees guess on questions when they run out of time, the responses to these questions show less consistency with the responses of other questions, and the reliability of the test will be decreased. The surprising…
Descriptors: Multiple Choice Tests, Timed Tests, Test Reliability, Guessing (Tests)

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