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Junker, Brian W. – 1991
A definition of essential independence is proposed for sequences of polytomous items. For items which satisfy the assumption that the expected amount of credit awarded increases with examinee ability, a theory of essential unidimensionality is developed that closely parallels that of W. F. Stout (1987, 1990). Essentially unidimensional item…
Descriptors: Ability, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Berger, Martijn P. F.; Knol, Dirk L. – 1990
The assessment of dimensionality of data is important to item response theory (IRT) modelling and other multidimensional data analysis techniques. The fact that the parameters from the factor analysis formulation for dichotomous data can be expressed in terms of the parameters in the multidimensional IRT model suggests that the assessment of the…
Descriptors: Computer Simulation, Data Analysis, Equations (Mathematics), Factor Analysis
Kromrey, Jeffrey D.; Hines, Constance V. – 1991
An investigation of the effects of randomly missing data in two-predictor regression analyses is described. The differences in the effectiveness of five common treatments of missing data on estimates of R-squared values and each of the two standardized regression weights is also investigated. Bootstrap sample sizes of 50, 100, and 200 were drawn…
Descriptors: Comparative Analysis, Computer Simulation, Estimation (Mathematics), Mathematical Models
Yamamoto, Kentaro; Muraki, Eiji – 1991
The extent to which properties of the ability scale and the form of the latent trait distribution influence the estimated item parameters of item response theory (IRT) was investigated using real and simulated data. Simulated data included 5,000 ability values randomly drawn from the standard normal distribution. Real data included the results for…
Descriptors: Ability, Estimation (Mathematics), Graphs, Item Response Theory
Linacre, John Michael – 1991
A rating scale can be expressed as a chain of dichotomous items. The relationship between the dichotomies depends on the manner in which the rating scale is presented to the test taker. Three models for ordered scales are discussed. In the success model, which represents growth, the lowest or easiest category is presented first. If the test taker…
Descriptors: Difficulty Level, Equations (Mathematics), Mathematical Models, Rating Scales
Rogers, Bruce G. – 1983
During the past 15 years, considerable attention has been given to a conspicuous longitudinal change in grading patterns in higher education. Commonly referred to as "grade inflation," the phenomenon has been perceived by some as seriously weakening the meaning of grades but by others as reflecting a positive tendency for students to…
Descriptors: Grade Inflation, Grade Point Average, Higher Education, Longitudinal Studies
Peer reviewed Peer reviewed
Vansteenkiste, G. C. – International Journal of Mathematical Education in Science and Technology, 1975
Descriptors: Computer Oriented Programs, Computers, Design, Higher Education
Openshaw, Stan; Whitehead, Paddy – Planning Outlook, 1975
Draws attention to an existing methodology for handling decision-making in a typical planning situation of interrelated alternatives and data deficiency, and describes several important extensions that have recently been made to it. (Oriel Press Limited, 32 Ridley Place, Newcastle upon Tyne, NE1 8LH, Great Britain, $7.00 yearly.) (Author)
Descriptors: Case Studies, Decision Making, Evaluation, Information Utilization
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Thomsen, Poul – Physics Education, 1975
Descriptors: Course Content, Course Evaluation, Curriculum Development, Curriculum Evaluation
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Subkoviak, Michael J. – Review of Educational Research, 1975
Illustrated is the power of multidimensional scaling in reducing a complex set of proximity measures to a simple geometric picture that shows the relationship among data objects. Methods are discussed for determining the number of dimensions needed to represent a set. (Author/DEP)
Descriptors: Educational Research, Evaluation Methods, Factor Analysis, Mathematical Models
Hope, Cyril; Rothery, Andrew – Mathematics Teaching, 1975
Suggestions are provided for activities involving the construction of mathematical models to solve "real-life" problems. (SD)
Descriptors: College Mathematics, Curriculum, Instruction, Mathematical Models
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Heitele, Dietger – Educational Studies in Mathematics, 1975
Arguing that the teaching of stochastic processes should reflect the experience and reality of the student, the author urges concentration on fundamental ideas. The development of intuition should be encouraged, and to this end continuity in teaching and a spiralled curriculum are important. (SD)
Descriptors: Cognitive Development, Curriculum, Elementary Secondary Education, Instruction
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Geeslin, William E.; Shavelson, Richard J. – Journal for Research in Mathematics Education, 1975
Descriptors: Cognitive Processes, Instruction, Learning, Mathematical Concepts
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Jacobs, Claire C. – Mathematics Teacher, 1975
Descriptors: Algebra, Diagrams, Mathematical Applications, Mathematical Concepts
Peer reviewed Peer reviewed
Cannon, C. M.; Kmietowicz, Z. W. – Journal of Management Studies, 1974
Presents a method of solving decision problems in conditions of incomplete knowledge of the probabilities of the states of nature. It uses all available information in order to delimit the region of ignorance as closely as possible. (Author)
Descriptors: Decision Making, Decision Making Skills, Information Utilization, Mathematical Models
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