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What Works Clearinghouse Rating
Kalsbeek, William D.; And Others – 1975
The National Assessment of Educational Progress; Second Science Assessment No-Show Study assessed the magnitude and causation of nonresponse biases. A No-Show is defined as an individual who was selected as a sample respondent but failed to be present for regular assessment of the 17-year-old group. The procedure whereby a sample of eligible…
Descriptors: Educational Assessment, High Schools, Mathematical Models, Performance Factors
Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2004
The question of how to estimate school and teacher contributions to student learning is fundamental to educational policy and practice, and the three thoughtful articles in this issue represent a major advance. The current level of public confusion about these issues is so severe and the consequences for schooling so great that it is a big relief…
Descriptors: Educational Policy, Educational Change, Educational Practices, Mathematical Models
Peer reviewedRachman-Moore, Dalia; Wolfe, Richard G. – Journal of Educational Statistics, 1984
A statistical model is proposed that describes the determination of an educational outcome variable as a nonlinear function of explanatory variables defined at different levels of a survey data hierarchy, such as students and classes. The theoretical and practical derivation of the model is discussed, and an example is given. (Author/BW)
Descriptors: Academic Achievement, Educational Assessment, Elementary Secondary Education, Mathematical Models
Nandakumar, Ratna – 1989
The theoretical differences between the traditional definition of dimensionality and the more recently defined notion of essential dimensionality are presented. Monte Carlo simulations are used to demonstrate the utility of W. F. Stout's procedure to assess the essential unidimensionality of the latent space underlying a set of terms. The…
Descriptors: Definitions, Educational Assessment, Latent Trait Theory, Mathematical Models
Peer reviewedJohnson, Eugene G. – Journal of Educational Statistics, 1989
The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Murray, Linda N.; Hambleton, Ronald K. – 1983
The purpose of this research study was to assess item response model-test data fit using residuals. First, a comparison of raw and standardized residuals for describing model-test data fit was carried out. Second, hypotheses concerning the relationship between residual sizes and several item characteristics were studied. The analyses with…
Descriptors: Educational Assessment, Goodness of Fit, Item Analysis, Latent Trait Theory
Shrestha, Gambhir – 1977
A stepwise regression technique was used to analyze assessment data while taking differences in nonschool variables across districts into account. The primary purpose of this investigation was to determine whether the inclusion of quadratic and/or interaction terms in a regression model would improve the prediction of school district average…
Descriptors: Academic Achievement, Correlation, Educational Assessment, Elementary Education
Peer reviewedReiser, Mark – Journal of Educational Statistics, 1983
In studies involving matrix sampling on items, it is often the case that there are too few responses per individual to use latent trait item response models. A model is formulated wherein individual level variability appears as independent error within the cells of a cross classification of demographic variables. (JKS)
Descriptors: Achievement Tests, Demography, Educational Assessment, Estimation (Mathematics)
Echternacht, Gary – 1979
The role that measurement error plays in the regression effect is discussed with particular reference to the RMC models for evaluating the effects of Elementary Secondary Education Act Title I programs. The norm referenced evaluation model assumes a theory of growth where the relative ranking of students remains the same from pretest to posttest…
Descriptors: Achievement Gains, Comparative Analysis, Educational Assessment, Elementary Secondary Education
Murray, Stephen L. – 1978
The norm-referenced evaluation model (RMC Model A) for Title I project evaluation, consists of procedures whereby the expected posttest standing of a treatment group under the null condition is generated from their pretest standing. It is assumed that the treatment group is not selected on the basis of their pretest scores and can be considered…
Descriptors: Achievement Gains, Educational Assessment, Elementary Secondary Education, Evaluation Methods
Cohn, Elchanan; And Others – 1975
This study explores some techniques that could assist education managers in their attempt to arrive at more optimal input and output mixes. The first part (Chapters 1-4) provides an overview of the input-output concept in relation to its employment in the educational setting, along with a review of the literature on the educational production…
Descriptors: Administrators, Correlation, Educational Assessment, Educational Change
Legg, Sue M.; Algina, James – 1986
This paper focuses on the questions which arise as test practitioners monitor score scales derived from latent trait theory. Large scale assessment programs are dynamic and constantly challenge the assumptions and limits of latent trait models. Even though testing programs evolve, test scores must remain reliable indicators of progress.…
Descriptors: Difficulty Level, Educational Assessment, Elementary Secondary Education, Equated Scores
Spottheim, David; And Others – 1989
The logic and methodological concepts behind the application of a quantitative methodology to the problem of effective resource utilization in the New York State suburban schools is detailed. The goal of the study was to determine the best composition of available "factors of production," measured in dollar amounts by function, that…
Descriptors: Economic Factors, Educational Assessment, Educational Economics, Elementary Secondary Education
Mikelbank, Kristen; Nelson, Lisa; Lickfelt, Sarah; Coulton, Claudia – Center on Urban Poverty and Social Change (NJ1), 2004
Having low literacy skills could impact everything from reading a newspaper and balancing a checkbook to wise consumer decisions and job advancement. This study estimates adult literacy measures for Cuyahoga County, Ohio and its municipalities. It is also important to have a sense of how many children are at risk for developing literacy problems…
Descriptors: Neighborhoods, Municipalities, Needs Assessment, Educational Attainment

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