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Peer reviewedHorn, John L. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Mathematical Models
Peer reviewedJoreskog, K. G. – Psychometrika, 1971
Descriptors: Correlation, Factor Analysis, Goodness of Fit, Mathematical Models
Peer reviewedWalberg, Herbert J. – American Educational Research Journal, 1971
Similarities between regression analysis and analysis of variance are noted and it is argued that the former has advantages over the latter. It is also argued that canonical correlation analysis is more suitable than factor analysis in certain cases. The argument is illustrated with four recent pieces of educational research. (DG)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Factor Analysis
Heimer, Ralph T. – Rev Educ Res, 1969
Descriptors: Curriculum Development, Curriculum Evaluation, Educational Research, Learning Theories
Peer reviewedFarrell, Margaret A. – Arithmetic Teacher, 1969
Descriptors: Elementary School Mathematics, Geometric Concepts, Geometry, Instruction
Peer reviewedWoods, Donald R. – Chemical Engineering Education, 1983
Describes a graduate or senior elective course combining fundamentals of surface phenomena with practical problem-solving structured around a series of case problems. Discusses topics covered and their development through acquiring new knowledge applied to the case problem, practical calculations of solutions, and applications to additional…
Descriptors: Chemical Engineering, Course Content, Course Descriptions, Engineering Education
Peer reviewedVeale, James R.; Foreman, Dale I. – Journal of Educational Measurement, 1983
Statistical procedures for measuring heterogeneity of test item distractor distributions, or cultural variation, are presented. These procedures are based on the notion that examinees' responses to the incorrect options of a multiple-choice test provide more information concerning cultural bias than their correct responses. (Author/PN)
Descriptors: Ethnic Bias, Item Analysis, Mathematical Models, Multiple Choice Tests
Peer reviewedWinship, Christopher; Mare, Robert D. – American Journal of Sociology, 1983
Presented is an approach to causal models in which some or all variables are discretely measured, showing that path analytic methods permit quantification of causal relationships among variables with the same flexibility and power of interpretation as is feasible in models including only continuous variables. Examples are provided. (Author/IS)
Descriptors: College Applicants, College Attendance, College Bound Students, Data Analysis
Peer reviewedBrown, Byron W.; Saks, Daniel H. – Public Finance Quarterly, 1983
Uses Michigan school district data to test the assumption that public school expenditures are positively related, in a straight-line fashion, to family income. Finds that expenditures are a U-shaped function of income. (Available from Sage Publications, 275 South Beverly Drive, Beverly Hills, CA 90212.) (Author/RW)
Descriptors: Educational Demand, Elementary Secondary Education, Family Income, Financial Support
Peer reviewedSelkirk, Keith – Mathematics in School, 1983
Deciding, with outline maps, what highway exits to use to reach various towns most speedily is the problem presented. The simulation is geometric, focusing on loci. (MNS)
Descriptors: Geography, Geometric Concepts, Map Skills, Mathematical Models
Peer reviewedHedges, Larry V. – Journal of Educational Statistics, 1982
A statistical test is described which determines homogeneity of effect size of an experiment series. An overall fit statistic is partitioned into between-class fit statistic and within-class fit statistic. These statistics permit assessment of differences between effect sizes for different classes and homogeneity of effect size within classes.…
Descriptors: Analysis of Variance, Data Analysis, Estimation (Mathematics), Goodness of Fit
Peer reviewedOke, K. H.; Jones, A. L. – Physics Education, 1982
Mathematical modelling and an example used with undergraduates were presented in part 1 (v17, n5, p212-18, 1982). A second example, Power from Windmills, is provided which has considerable potential for development both as a model and as a series of modelling experiences of increasing difficulty for students with different backgrounds. (Author/JN)
Descriptors: College Science, Engineering, Engineering Education, Higher Education
Peer reviewedRubin, Donald B.; And Others – Journal of Educational Statistics, 1981
A time-saving and space-saving algorithm is presented for computing the sums of squares and estimated cell means under the additive model in a two-way analysis of variance or covariance with unequal numbers of observations in the cells. The procedure is illustrated. (Author/JKS)
Descriptors: Algorithms, Analysis of Covariance, Analysis of Variance, Computer Programs
Peer reviewedVest, Floyd – School Science and Mathematics, 1982
Two models are presented. The first assumes that air resistance is proportional to the velocity of the falling body. The second assumes that air resistance is proportional to the square of the velocity. A program written in BASIC that simulates the second model is presented. (MP)
Descriptors: College Mathematics, College Science, Computer Programs, Higher Education
Peer reviewedOke, K. H.; Jones, A. L. – Physics Education, 1982
Describes the heating of a baby's milk bottle (an exercise in modelling) and the interaction between lecturer and students as they formulate the problem, produce a tentative solution and interpret the solution. (Author/JN)
Descriptors: College Science, Engineering, Engineering Education, Higher Education


