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Peer reviewedShine, Lester C. , II; Bower, Samuel M. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Behavioral Science Research, Hypothesis Testing, Mathematical Models
Peer reviewedLissitz, Robert W.; Halperin, Silas – Educational and Psychological Measurement, 1971
Descriptors: Behavioral Science Research, Computer Programs, Hypothesis Testing, Mathematical Models
White, Harrison C. – Amer J Sociol, 1970
A new model for inheritance in intergenerational mobility is developed and related to mover-stayer models of intragenerational mobility. Application is made to data for the United STates, Britain, and Denmark. Predictions are required to match observed proportions of men remaining in their origin strata and also the observed distribution of men…
Descriptors: Cross Cultural Studies, Mathematical Models, Occupational Mobility, Occupational Surveys
Peer reviewedBloom, Allan M. – Research in Higher Education, 1983
A statistical methodology applied to three years of teaching load data from 21 major public universities yields an objective, broadly applicable set of student credit hours (SCH) weight factors. A table of optimum weighting factors for upper division and graduate SCH is presented. (Author/MLW)
Descriptors: College Instruction, Credits, Higher Education, Mathematical Models
Peer reviewedMaxwell, Scott E.; Howard, George S. – Educational and Psychological Measurement, 1981
This paper delineates conditions under which the use of change scores will not produce misleading results, and may perhaps be preferable to other methods of analysis. The validity of change scores in randomized pretest-posttest designs is discussed along with situations where analysis of change scores should be used. (Author/GK)
Descriptors: Analysis of Covariance, Analysis of Variance, Mathematical Models, Pretests Posttests
Peer reviewedLohnes, Paul R. – American Educational Research Journal, 1979
Factorial modeling is justified as a method for analyzing correlations in support of causal inference. The method is illustrated and compared to path analysis, LISREL-type analysis, canonical correlation, and commonality analysis. Predictions of impacts of policy manipulations are demonstrated. (Author/CP)
Descriptors: Algorithms, Correlation, Educational Research, Factor Structure
Peer reviewedGoldstein, Harvey – School Effectiveness and School Improvement, 1997
Discusses the methodological requirements for valid inferences from school-effectiveness research studies, which include long-term longitudinal data and proper statistical modelling of hierarchical data structures. Explains problems with using simple performance indicators to measure school effectiveness. Outlines appropriate multilevel…
Descriptors: Data Collection, Effective Schools Research, Elementary Secondary Education, Longitudinal Studies
Peer reviewedDorans, Neil J. – Applied Measurement in Education, 1990
The equating methods and sampling designs used in the empirical studies in this special issue on the use of matched samples for test equating are described. Four requisites for equating are listed, and the invariance of equating functions requisite is identified as the focus of this issue. (SLD)
Descriptors: Equated Scores, Equations (Mathematics), Evaluation Methods, Item Response Theory
Peer reviewedChen, Ye-Sho; And Others – Information Processing and Management, 1994
Investigates the relationships between the parameters of the Simon-Yule model and the shapes of three bibliometric distributions: Lotka's Law of Scientific Productivity; Bradford's Law of Bibliometric Scattering; and Zipf's Law of Word Frequency. The results indicate that the probability of a new entry determines the characteristics of all three…
Descriptors: Bibliometrics, Information Science, Information Utilization, Mathematical Formulas
Peer reviewedCavin, Edward S. – Economics of Education Review, 1995
Demand for Pell Grant financial aid has become difficult to predict when using the current microsimulation model. This paper proposes an alternative model that uses aggregate data (based on individuals' microlevel decisions and macrodata on family incomes, college costs, and opportunity wages) and avoids some limitations of simple linear models.…
Descriptors: Higher Education, Mathematical Models, Paying for College, Simulation
Peer reviewedEide, Eric R.; Showalter, Mark H. – Economics of Education Review, 2001
Examines the likely effect of grade retention on high-school dropout rate and post-high-school labor-market earnings. Uses High School and Beyond data set. Reports different estimated coefficients using ordinary least-squares versus using instrumental variables that account for endogeneity. (Contains 36 references.) (PKP)
Descriptors: Dropouts, Elementary Secondary Education, Grade Repetition, Income
Brandenburg, Richard K.; Simpson, William A. – 1983
The way that graphs can be used to make calculations that are commonly used by institutional researchers is described using specific examples, and the technique of constructing computational graphs (and nomographs) is outlined. It is shown that once a calculation involving several variables has been represented by a computation diagram or a…
Descriptors: College Planning, Computation, Data Analysis, Diagrams
McKinley, Robert L.; Reckase, Mark D. – 1984
A new procedure is proposed for developing, evaluating, and implementing routing procedures for use with individualized instruction programs. An item response theory model for describing the relationship between performance on sequentially arranged units of instruction, and procedures for using the model to evaluate sequential relationships and…
Descriptors: Estimation (Mathematics), Individualized Instruction, Latent Trait Theory, Mastery Tests
Casady, Robert J. – 1989
The concepts, definitions, and notation that have evolved with the development of telephone survey design methodology are discussed and presented as a unified structure. This structure is then applied to some of the more well-known telephone survey designs and alternative designs are developed. The relative merits of the different survey designs…
Descriptors: Data Collection, Equations (Mathematics), Evaluation Methods, Mathematical Models
Campbell, Kathleen T. – 1990
Advantages of the use of multivariate commonality analysis are discussed and a small data set is used to illustrate the analysis and as a model to enable readers to conduct such an analysis. A noteworthy advantage of commonality analysis is that commonality honors the relationships among variables by determining the degree to which predictors in a…
Descriptors: Analysis of Variance, Educational Research, Mathematical Models, Methods Research


