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Cetinkaya, Bulent; Kertil, Mahmut; Erbas, Ayhan Kursat; Korkmaz, Himmet; Alacaci, Cengiz; Cakiroglu, Erdinc – Mathematical Thinking and Learning: An International Journal, 2016
Adopting a multitiered design-based research perspective, this study examines pre-service secondary mathematics teachers' developing conceptions about (a) the nature of mathematical modeling in simulations of "real life" problem solving, and (b) pedagogical principles and strategies needed to teach mathematics through modeling. Unlike…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Mathematical Models
Peer reviewedIgnall, Edward J. – Management Science, 1972
Descriptors: Administration, Computer Oriented Programs, Mathematical Models, Models
Burchinal, Margaret R. – 1989
Growth curve models are a useful tool for developmentalists because they can estimate an attribute's developmental function by providing a mathematical description of growth on an attribute over time. However, selection of a growth curve model appropriate for estimating individual developmental functions is problematic. The ideal model is the one…
Descriptors: Estimation (Mathematics), Goodness of Fit, Guidelines, Individual Development
PDF pending restorationSerlin, Ronald C.; Marascuilo, Leonard A. – 1978
When examining a repeated measures design with independent groups for a significant group by trial interaction, classical analysis of variance or multivariate procedures can be used if the assumptions underlying the tests are met. Neither procedure may be justified for designs with small sample sizes and dichotomous dependent variables. An omnibus…
Descriptors: Hypothesis Testing, Mathematical Models, Nonparametric Statistics, Research Design
Blumberg, Carol Joyce; And Others – 1983
Various methods have been suggested for the analysis of data collected in research settings where random assignment of subjects to groups has not occurred. For the purposes of this paper the set of allowable nonrandomized designs is made up of those research designs where data are collected for one or more groups of subjects at two or more time…
Descriptors: Comparative Analysis, Control Groups, Data Analysis, Data Collection
Chuang, Ying C. – 1971
Simulation is defined and its use, as related to three types of models, iconic, analogue, and symbolic, that may be utilized in educational research is discussed. A five-step procedure is outlined that can be followed in the process of symbolic model construction. Simulation methods, based on these three models, are examined, and illustrations of…
Descriptors: Educational Research, Mathematical Models, Models, Research Design
Peer reviewedCorder-Bolz, Charles R. – Educational and Psychological Measurement, 1978
Six models for evaluating change are examined via a Monte Carlo study. All six models show a lack of power. A modified analysis of variance procedure is suggested as an alternative. (JKS)
Descriptors: Analysis of Covariance, Analysis of Variance, Educational Change, Error of Measurement
Peer reviewedFrazer, Jack W.; And Others – Analytical Chemistry, 1983
Discusses simulation program to aid in the design of enzyme kinetic experimentation (includes sample runs). Concentration versus time profiles of any subset or all nine states of reactions can be displayed with/without simulated instrumental noise, allowing the user to estimate the practicality of any proposed experiment given known instrument…
Descriptors: Chemical Reactions, Chemistry, College Science, Computer Programs
Peer reviewedGustafsson, Jan-Eric – Journal of Educational Measurement, 1979
Computer generated data are used to show that Slinde and Linn's criticism of the usefulness of the Rasch model for equating (EJ 189 585) may have been the result of an artifact produced by the manner in which the samples were chosen in their study. (CTM)
Descriptors: Achievement Tests, Bias, College Entrance Examinations, Equated Scores
Mandeville, Garrett K. – 1978
The RMC Research Corporation evaluation model C1--the special regression model (SRM)--was evaluated through a series of computer simulations and compared with an alternative model, the norm referenced model (NRM). Using local data and national norm data to determine reasonable values for sample size and pretest posttest correlation parameters, the…
Descriptors: Analysis of Covariance, Error of Measurement, Intermediate Grades, Mathematical Models
Raffeld, Paul; And Others – 1979
The RMC Model A (norm-referenced) for evaluation of Title I programs is based upon the equipercentile assumption--that students maintain their percentile rank over a one-year period, provided that no special instrucional intervention is introduced. The control group, essentially the sample used to standardize the achievement test, represents the…
Descriptors: Achievement Gains, Critical Path Method, Elementary Education, Error of Measurement
Sandler, Andrew B. – 1987
Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis
Peer reviewedMarascuilo, Leonard A. – Journal of Experimental Education, 1979
The utility of the biomedical model of adjusted statistics is demonstrated. The model is recommended for use by educational researchers to randomize subjects for a more accurate estimate of school programs' success or failure when compared across classrooms or other units. (Author/MH)
Descriptors: Academic Achievement, Analysis of Variance, Comparative Analysis, Criterion Referenced Tests

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