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Peer reviewedGleser, Leon Jay – Intelligence, 1985
The present study points out problems in the model, indices of familiality, and design used by Benbow, Zonderman, and Stanley in a study of precocious children and their parents. (Author/LMO)
Descriptors: Cognitive Ability, Elementary Secondary Education, Genetics, High Achievement
Ahmed, Susan – 1997
This working paper contains the overheads used in a seminar designed to introduce some basic concepts of statistics to nonstatisticians. The seminar has been presented on several occasions. The first part of the seminar, and the first set of overheads, deals with the essentials of statistics, including: (1) population, sample, and inference; (2)…
Descriptors: Correlation, Educational Policy, Educational Research, Mathematical Models
Peer reviewedBrink, Nicholas E. – Educational and Psychological Measurement, 1972
Study compares the Rasch and the Guttman models of measurement and thus adds to the description of the characteristics of Rasch's logistic model. Such knowledge is of importance in making decisions as to which model and which statistics should be used in evaluations of tests. (Author/CB)
Descriptors: Comparative Analysis, Educational Testing, Error of Measurement, Goodness of Fit
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
Peer reviewedvan der Linden, Wim J. – Applied Psychological Measurement, 1979
The restrictions on item difficulties that must be met when binomial models are applied to domain-referenced testing are examined. Both a deterministic and a stochastic conception of item responses are discussed with respect to difficulty and Guttman-type items. (Author/BH)
Descriptors: Difficulty Level, Item Sampling, Latent Trait Theory, Mathematical Models
Peer reviewedBrookings, Jeff B.; And Others – Journal of Psychology, 1981
A multitrait-multimethod (MTMM) analysis of alienation employed two personality constructs conceptually relevant to alienation: hostility and locus of control. MTMM analysis indicated that eight of 15 convergent validity coefficients were statistically significant; however, magnitude was small and Campbell-Fiske criteria were not satisfied…
Descriptors: Adults, Alienation, Hostility, Hypothesis Testing
Peer reviewedLittle, Roderick J. A.; Pullum, Thomas W. – Sociological Methods and Research, 1979
Two methods of analyzing nonorthogonal (uneven cell sizes) cross-classified data sets are compared. The methods are direct standardization and the general linear model. The authors illustrate when direct standardization may be a desirable method of analysis. (JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewedMcDonald, Roderick P. – Multivariate Behavioral Research, 1979
Two major and two minor principles are shown to serve to generate a large number of multivariate models, including canonical analysis, factor analysis, and latent trait test theory. The statistical underpinnings of the theory are discussed. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Mathematical Models
Peer reviewedThornton, Robert J.; Weintraub, Andrew R. – Industrial and Labor Relations Review, 1979
This study analyzes the effects that state licensing requirements have had on barber supply and on new entrants into the trade over the period 1969-1973. The authors found that the minimum education requirements, barber school hours required, and months of apprenticeship required have had little or no significant effect. (MF)
Descriptors: Barbers, Certification, Educational Needs, Labor Supply
Peer reviewedKnapp, Charles B.; Hansen, W. Lee – Journal of Political Economy, 1976
Examines the effect on earnings of variations among individuals in postschool human investment (namely, in work experience after the completion of schooling). Data from the Johns Hopkins Retrospective Life History Survey are analyzed to make possible a reformulation of Becker and Chiswick's econometric model to allow for additional variations…
Descriptors: Age Differences, Biographical Inventories, Economic Research, Educational Background
Peer reviewedYoda, Koji – Educational Planning, 1977
Discusses a simple technique for stochastic resource planning that, when computerized, can assist educational managers in the process of quantifying the future uncertainty, thereby, helping them make better decisions. The example used is a school lunch program. (Author/IRT)
Descriptors: Computer Science, Educational Planning, Elementary Secondary Education, Lunch Programs
Peer reviewedFastrup, Jerry C. – Journal of Education Finance, 2002
Uses a foundation-equalizing model to develop a number of indicators measuring the extent to which states utilize the full range of equalization tools at its disposal. Illustrates the utility of these indicators through an evaluation of the school finance reform instituted by Rhode Island between 1992 and 1996. (Contains 25 references.)…
Descriptors: Educational Equity (Finance), Elementary Secondary Education, Equalization Aid, Finance Reform
Peer reviewedFischer, Gerhard H. – Psychometrika, 1989
The linear logistic model with relaxed assumption is extended to designs with any number of time points or with different sets of items presented on different occasions, provided that one unidimensional subscale is available per latent trait. A sample application is presented. (SLD)
Descriptors: Data Interpretation, Equations (Mathematics), Estimation (Mathematics), Item Response Theory


