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Gelman, Andrew; Imbens, Guido – National Bureau of Economic Research, 2014
It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of the forcing variable. We argue that estimators for causal effects based on such methods can be misleading, and we recommend researchers do not use them, and instead use estimators based on local linear or quadratic polynomials or…
Descriptors: Regression (Statistics), Mathematical Models, Causal Models, Research Methodology
Blair, R. Clifford; Sawilowsky, Shlomo S. – 1991
Analysis of covariance (ANCOVA) is a data analysis method that is often used to control extraneous sources of variation in non-equivalent group designs. It is commonly believed that as long as the covariate is highly correlated with the dependent variable there is nothing to lose in using ANCOVA, even in non-randomized studies. This paper examines…
Descriptors: Analysis of Covariance, Equations (Mathematics), Mathematical Models, Research Design
Brennan, Robert L. – 1990
In 1955, R. Levine introduced two linear equating procedures for the common-item non-equivalent populations design. His procedures make the same assumptions about true scores; they differ in terms of the nature of the equating function used. In this paper, two parameterizations of a classical congeneric model are introduced to model the variables…
Descriptors: Equated Scores, Equations (Mathematics), Mathematical Models, Research Design
Peer reviewedMarcoulides, George A.; Goldstein, Zvi – Educational and Psychological Measurement, 1990
A methodology for determining the optimal number of observations to use in a measurement design when resource constraints are imposed is presented. Two- and three-facet designs are outlined. Parallel closed form formulae can easily be determined for other designs. (TJH)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Generalizability Theory, Mathematical Models
Peer reviewedLecoutre, Bruno – Journal of Educational Statistics, 1991
The routine epsilon approximate test in repeated measures designs when the condition of circularity is unfulfilled uses an erroneous formula in the case of two or more groups. Because this may lead to underestimation of the deviation from circularity when the subject number is small, a correction is proposed. (Author/SLD)
Descriptors: Equations (Mathematics), Error Correction, Estimation (Mathematics), Mathematical Models
Peer reviewedVerhelst, N. D.; Glas, C. A. W. – Psychometrika, 1993
A model for describing dynamic processes is constructed by combining the Rasch model with the concept of structurally incomplete designs. This is accomplished by mapping each item on a collection of virtual items, one of which is assumed to be presented to the respondent depending on preceding responses or feedback. (SLD)
Descriptors: Equations (Mathematics), Feedback, Generalization, Learning Theories
Groenewald, A. C.; Stoker, D. J. – 1990
In a complex sampling scheme it is desirable to select the primary sampling units (PSUs) without replacement to prevent duplications in the sample. Since the estimation of the sampling variances is more complicated when the PSUs are selected without replacement, L. Kish (1965) recommends that the variance be calculated using the formulas…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Foreign Countries, Mathematical Models
Peer reviewedGoldstein, Zvi; Marcoulides, George A. – Educational and Psychological Measurement, 1991
An efficient search procedure is presented for determining the optimal number of observations of facets in a design that maximize generalizability when resource constraints are imposed. The procedure is illustrated for three-facet and four-facet designs, with extensions for other configurations. (Author/SLD)
Descriptors: Cost Effectiveness, Decision Making, Equations (Mathematics), Generalizability Theory
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 reviewedBerger, Martijn, P. F. – Psychometrika, 1992
A generalized variance criterion is used for sequential sampling in the two-parameter item response theory model. Some principles are offered to enable the researcher to select the best sampling design for efficient estimation of item parameters. Topics include the choice of an optimality criterion, two-stage designs, and sequential designs. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Evaluation Criteria, Graphs
Peer reviewedBissett, Randall; Schneider, Bruce – Psychometrika, 1991
The algorithm developed by B. A. Schneider (1980) for analysis of paired comparisons of psychological intervals is replaced by one proposed by R. M. Johnson. Monte Carlo simulations of pairwise dissimilarities and pairwise conjoint effects show that Johnson's algorithm can provide good metric recovery. (SLD)
Descriptors: Algorithms, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Peer reviewedMarcoulides, George A.; Goldstein, Zvi – Educational and Psychological Measurement, 1991
A method is presented for determining the optimal number of conditions to use in measurement designs when resource constraints are imposed. The method is illustrated using a multivariate two-facet design, and extensions to other designs are discussed. (SLD)
Descriptors: Budgeting, Data Collection, Efficiency, Equations (Mathematics)
PDF pending restorationSanders, Piet F. – 1993
A study on sampling errors of variance components was conducted within the framework of generalizability theory by P. L. Smith (1978). The study used an intuitive approach for solving the problem of how to allocate the number of conditions to different facets in order to produce the most stable estimate of the universe score variance. Optimization…
Descriptors: Decision Making, Equations (Mathematics), Estimation (Mathematics), Foreign Countries
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
Peer reviewedSnijders, Tom A. B.; Bosker, Roel J. – Journal of Educational Statistics, 1993
Some approximate formulas are presented for standard errors of estimated regression coefficients in two-level designs. If the researcher can make a reasonable guess as to parameters occurring in the model, this approximation can be a guide to the choice of sample sizes at either level. (SLD)
Descriptors: Equations (Mathematics), Error of Measurement, Estimation (Mathematics), Mathematical Models

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