Publication Date
| In 2026 | 0 |
| Since 2025 | 15 |
| Since 2022 (last 5 years) | 170 |
| Since 2017 (last 10 years) | 410 |
| Since 2007 (last 20 years) | 1010 |
Descriptor
Source
Author
| Kromrey, Jeffrey D. | 21 |
| Fan, Xitao | 18 |
| Barcikowski, Robert S. | 16 |
| DeSarbo, Wayne S. | 14 |
| Donoghue, John R. | 12 |
| Ferron, John M. | 12 |
| Finch, W. Holmes | 12 |
| Zhang, Zhiyong | 11 |
| Cohen, Allan S. | 10 |
| Finch, Holmes | 10 |
| Kim, Seock-Ho | 10 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 49 |
| Practitioners | 22 |
| Teachers | 20 |
| Students | 4 |
| Administrators | 2 |
Location
| Germany | 10 |
| Australia | 7 |
| United Kingdom | 7 |
| Canada | 6 |
| Netherlands | 6 |
| United States | 6 |
| Belgium | 5 |
| California | 5 |
| Hong Kong | 5 |
| South Korea | 5 |
| Spain | 5 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 4 |
| Pell Grant Program | 2 |
| Aid to Families with… | 1 |
| American Recovery and… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
| Does not meet standards | 1 |
Owston, Ronald D. – 1979
The development of a probabilistic model for validating Gange's learning hierarchies is described. Learning hierarchies are defined as paired networks of intellectual tasks arranged so that a substantial amount of positive transfer occurs from tasks in a lower position to connected ones in a higher position. This probabilistic validation technique…
Descriptors: Associative Learning, Classification, Difficulty Level, Mathematical Models
Peer reviewedDometrius, Nelson C.; Sigelman, Lee – Social Science Quarterly, 1988
Reports the results of a simulation-based analysis of Black and Hispanic public school teacher employment in Texas. The simulation reflects recently instituted teacher testing requirements in mathematics and language competence and projects how the program is likely to affect the racial-ethnic composition of public school teachers in Texas over…
Descriptors: Affirmative Action, Black Teachers, Computer Simulation, Educational Improvement
Peer reviewedAbrahamowicz, Michal; Ramsay, James O. – Psychometrika, 1992
A nonparametric multicategorical model for multiple-choice data is proposed as an extension of the binary spline model of J. O. Ramsay and M. Abrahamowicz (1989). Results of two Monte Carlo studies illustrate the model, which approximates probability functions by rational splines. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Graphs, Item Analysis
Peer reviewedCappelleri, Joseph C.; And Others – Evaluation Review, 1991
A conceptual approach and a set of computer simulations are presented to demonstrate that random measurement error in the pretest does not bias the estimate of the treatment effect in the regression-discontinuity design. Focus is on the case of no interaction between pretest and treatment on posttest. (SLD)
Descriptors: Analysis of Covariance, Computer Simulation, Equations (Mathematics), Error of Measurement
Keselman, Joanne C.; And Others – 1993
Meta-analytic methods were used to summarize results of Monte Carlo (MC) studies investigating the robustness of various statistical procedures for testing within-subjects effects in split-plot repeated measures designs. Through a literature review, accessible MC studies were identified, and characteristics (simulation factors) and outcomes (rates…
Descriptors: Computer Simulation, Foreign Countries, Interaction, Least Squares Statistics
Robey, Randall R.; Barcikowski, Robert S. – 1986
This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…
Descriptors: Analysis of Variance, Behavioral Science Research, Comparative Analysis, Hypothesis Testing
Tucker, Ledyard R.; And Others – 1986
A Monte Carlo study of five indices of dimensionality of binary items used a computer model that allowed sampling of both items and people. Five parameters were systematically varied in a factorial design: (1) number of common factors from one to five; (2) number of items, including 20, 30, 40, and 60; (3) sample sizes of 125 and 500; (4) nearly…
Descriptors: Correlation, Difficulty Level, Educational Research, Expectancy Tables
Peer reviewedKay, Jack G.; And Others – Journal of Chemical Education, 1988
Describes two applications of the microcomputer for laboratory exercises. Explores radioactive decay using the Batemen equations on a Macintosh computer. Provides examples and screen dumps of data. Investigates polymer configurations using a Monte Carlo simulation on an IBM personal computer. (MVL)
Descriptors: Atomic Structure, Chemistry, College Science, Computer Software
Peer reviewedHeifetz, Louis J. – Mental Retardation, 1998
Comments on "The Small ICF/MR Program: Dimensions of Quality and Cost" (Conroy), that found small Intermediate Care Facilities (ICF) for individuals with mental retardation are inferior to other community programs. Acknowledges that while some research problems exist, no important evidence against the findings has been provided. (CR)
Descriptors: Adults, Community Programs, Deinstitutionalization (of Disabled), Group Homes
Kreft, Ita G. G.; Yoon, Bokhee – 1994
The merits of the multilevel model for educational research and its uses for school effectiveness research are considered. The main goal of the paper is to establish what intelligent applications of multilevel models can do, helping researchers decide what they must do to make a rational choice between models. Multilevel models are random line…
Descriptors: Correlation, Data Analysis, Educational Research, Effective Schools Research
Vale, C. David; Gialluca, Kathleen A. – 1985
ASCAL is a microcomputer-based program for calibrating items according to the three-parameter logistic model of item response theory. It uses a modified multivariate Newton-Raphson procedure for estimating item parameters. This study evaluated this procedure using Monte Carlo Simulation Techniques. The current version of ASCAL was then compared to…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Simulation
Perlman, Carole L. – 1982
The value-added model is presented as a method of assessing the impact of treatments in pretest-posttest quasi-experimental designs. The model yields a projection of treatment group performance at posttest time with no special treatment. The difference between the expected result and the actual outcome is "the value added," a measure of…
Descriptors: Achievement Gains, Age Differences, Early Childhood Education, Evaluation Methods
Weiss, David J. – 1983
During 1975-1979 this research into the potential of computerized adaptive testing to reduce errors in the measurement of human capabilities used Marine recruits for a live-testing validity comparison of computerized adaptive and conventional tests. The program purposes were to: (1) identify the most useful computer-based adaptive testing…
Descriptors: Ability, Adaptive Testing, Adults, Bayesian Statistics
Peer reviewedWoolfson, M. M. – School Science Review, 1989
Notes the computer has progressed from being a fast calculating machine to becoming an important tool for the whole academic spectrum. Discusses the development of new courses being offered to develop skills and knowledge in computational physics. (Author/MVL)
Descriptors: Calculators, College Science, Computation, Computer Graphics
Peer reviewedWood, Eric – Mathematics Teacher, 1992
This article discusses the analysis of a decision-making process faced by contestants on the television game show "The Price is Right". The included analyses of the original and related problems concern pattern searching, inductive reasoning, quadratic functions, and graphing. Computer simulation programs in BASIC and tables of…
Descriptors: Computer Assisted Instruction, Computer Simulation, Learning Activities, Mathematical Applications


